- Open Access
Memory profiles in Down syndrome across development: a review of memory abilities through the lifespan
Journal of Neurodevelopmental Disorders volume 10, Article number: 5 (2018)
Down syndrome (DS) is associated with a variety of cognitive impairments, notably memory impairments. Due to the high prevalence rates of early-onset dementia associated with DS, it is imperative to understand the comprehensive development of memory impairments beginning in childhood and into adulthood, as this may help researchers identify precursors of dementia at earlier stages of development and pinpoint targets for memory intervention. The current paper provides a systematic, developmentally focused review of the nature of memory difficulties in DS across the lifespan. Specifically, this review summarizes what is known about long-term, short-term, and working memory abilities (distinguishing between verbal and nonverbal modalities) in DS, compared to both mental age-matched typically developing peers and individuals with other forms of intellectual disability (ID) at three developmental stages (i.e., preschool, adolescence, and adulthood). Additionally, this review examines the degree of impairment reported relative to typically developing mental age-matched peers in the existing literature by examining effect size data across memory domains as a function of age. With few exceptions, memory abilities were impaired across the lifespan compared to mental age-matched typically developing peers. Relative to other groups with ID, research findings are mixed. Our review of the literature identified a scarcity of memory studies in early childhood, particularly for STM and WM. In adulthood, research was limited in the LTM and WM domains and very little research has compared memory abilities in older adults with DS to those with typical development. Looking to the future, longitudinal studies could provide a better understanding of the developmental trajectory of memory abilities in DS, and the possible associations between memory abilities and real-world functioning. This research could ultimately inform interventions to improve independence and overall quality of life for those with DS and their families.
The current paper provides a systematic, developmentally focused review of the nature of memory difficulties in Down syndrome (DS) across the lifespan. We aim to add to and extend prior reviews (e.g., ) by describing what is known about different domains of memory function during different developmental periods. Additionally, to begin to examine memory impairments across the lifespan, we have calculated effect size estimates from published studies of long-term (LTM), short-term (STM), and working memory (WM) in which individuals with DS were compared to typically developing (TD) individuals matched on mental age (i.e., overall cognitive level). We have plotted these by domain (LTM, STM, WM), modality of the task (verbal, nonverbal), and mean chronological age of participants to begin to examine trends in findings and to identify developmental periods during which more research is needed. Our review is organized as follows: (a) we provide a brief summary of the DS cognitive phenotype to set the backdrop for interpreting memory impairments in DS; (b) we then describe neuropsychological conceptualizations of memory fractionation in order to organize the memory domains reviewed; and, finally, (c) we summarize past studies’ findings on LTM, STM, and WM in DS from preschool to adulthood.
DS is the most common form of intellectual disability (ID) with a specific genetic etiology, occurring in one of every 691 live births . The syndrome results in a gradually declining IQ during childhood (i.e., cognitive gains do not keep pace with chronological age) . Beginning at an early age, individuals with DS have impairments in adaptive functioning [4,5,6] and specific cognitive domains such as expressive language, and executive function that are in excess of overall cognitive impairments (for reviews, see [7,8,9]).
Furthermore, impairments in LTM are a prominent aspect of the DS cognitive phenotype and have been a particular area of research interest, in part due to the high prevalence of precocious-onset Alzheimer’s disease (AD) associated with DS. AD causes a progressive decline in cognitive abilities and functional skills and is the most common cause of dementia in the general population (for review, see ). The increased rates of precocious AD in DS are thought to be due in part to overexpression of genes on chromosome 21, most notably the amyloid beta precursor protein gene (for reviews, see [11,12,13]).
The neuropathology of AD is characterized by neuritic plaques and neurofibrillary tangles, which lead to death of neurons, brain atrophy, and cognitive decline . Recent research on DS suggests that the amyloid beta accumulation first begins in the striatum, and progresses into the frontal lobes, and eventually the temporal lobe ([15, 16]; for review, see ). Consequently, those with DS and comorbid AD exhibit declines in executive function abilities, memory encoding and retrieval abilities, episodic memory and new learning abilities ([12, 17,18,19]). Although these symptoms of AD in DS are similar to symptoms in TD adults, the age of onset of AD within the DS population is much younger than in the TD population. By age 45, virtually all adults with DS have AD neuropathology; however, only 8.9% of adults with DS present with symptoms of AD at this age . Nevertheless, AD symptom prevalence in DS is significantly higher than the AD symptom prevalence in typically developing (TD) adults, which occurs in only 0.003% of individuals at this age . Moreover, by age 72, 67% of individuals with DS will meet the criteria for AD compared to 5% of TD adults [20, 22,23,24]. As a result, the development of memory impairments in adults with DS has been widely studied to better understand the risk factors for comorbid dementia.
Although understanding memory impairments in DS in middle and older adulthood has direct implications for understanding the development of comorbid AD, it is also important to understand memory impairments in DS across development. From infancy and childhood into adulthood, memory abilities are associated with adaptive behavior, independence skills, reading abilities, and general intelligence in DS [1, 9, 25, 26]. Thus, to provide strategic interventions, it is necessary to elucidate the relative strengths and weaknesses of specific memory domains across development. Furthermore, establishing a baseline of expected memory abilities across development could help clinicians identify impaired memory performance and subtle precursors to dementia earlier in development. Therefore, applying a developmental perspective to our conceptualization of the DS memory phenotype may provide crucial information necessary to improve clinical care and advance our theoretical models of memory development.
As argued by Karmiloff-Smith , utilizing a developmental approach to the study of cognition does not simply mean examining a pediatric sample, but rather it involves capturing changing abilities of a group over time. While the traditional neuropsychological “snapshot” approach of comparing a clinical group to a control group at one time point has provided valuable information about the DS cognitive phenotype, the trajectory approach allows us to map and track age and performance . Therefore, this method promotes identification of developmental memory trends across the lifespan, indicating whether memory impairments increase or decrease with age.
The current review attempts to synthesize the existing literature on LTM, STM, and WM in DS within a developmental framework. However, it is important to note that the existing research literature on memory in DS does not permit the adoption of a traditional developmental trajectory approach to conceptualize changing memory impairments in DS across the lifespan. This is for two primary reasons. First, longitudinal studies of memory abilities are very limited for the group. Second, such an approach is best implemented when chronological age-matched comparison groups are included in studies as a benchmark of deviations from developmental expectations. Unfortunately, the inclusion of a chronological age-matched TD comparison group is a rarity in the literature on memory in DS. Rather, the vast majority of studies examining cognitive abilities of the DS population compare these to mental-age (MA)-matched peers because of the well-established understanding that cognitive functioning in DS is below chronological age expectations (for review, see ). Furthermore, the majority of neuropsychological assessments lack utility for a wide range of mental ages—that is, there are very few cognitive assessments that would challenge and maintain the attention of both an individual with DS and their chronologically age-matched peer. Due to this limitation, researchers studying DS have commonly used a MA comparison group. Therefore, this review of the literature will primarily focus on individuals with DS in comparison to MA-matched peers but will add a developmental perspective in that we will examine the degree of impairment relative to more general cognitive abilities as a function of the DS group’s chronological age.
The use of MA-matched peers as a comparison group is not only suboptimal for describing developmental trends relative to age expectations, it also makes comparing results across studies challenging, as different investigators may match on measures of overall cognitive ability, verbal cognitive ability, or nonverbal cognitive ability. For a group like DS with pronounced impairments in some aspects of language functioning (for a review, see ), matching on verbal MA may result in a pattern of findings in which nonverbal memory impairments look smaller than they would if groups were matched on nonverbal cognitive ability. In this latter scenario, that is matching on nonverbal cognitive abilities, impairments on verbal memory tasks may appear larger or be exaggerated due to the nonverbal cognitive matching strategy. Thus, in order to be clear about the nature of the existing findings in the literature, our review, including summary tables and figures, which will be described later, includes details about the matching strategy employed. We hope that this will aid the reader in interpreting the existing findings and thus trends in memory abilities relative to overall cognitive abilities across development in DS. Prior to describing this literature, we will provide a brief overview of neuropsychological conceptualizations of memory fractionation to provide a framework to organize the memory domains included in the current review, as well as a justification for the choice of memory domains reviewed.
Neuropsychological conceptualizations of memory
Current conceptualizations of retrospective memory, the process of recalling previously learned information, divide this construct into two forms: implicit and explicit memory . Implicit memory involves retrieving information, without conscious awareness, to perform an action. It is thought to rely upon the basal ganglia [32,33,34] and broader cortico-striatal networks (see [31, 35] for reviews). This review will not examine implicit memory, due to the limited number of studies examining this construct in DS. Furthermore, existing studies suggest that implicit memory tends to be MA appropriate in DS. For example, Vicari and colleagues ([36, 37]) reported comparable performance on implicit memory tasks between those with DS and typically developed MA-matched children. Moreover, they reported stronger implicit memory performance in DS compared to ID peers (e.g., Williams syndrome). Consistent with these findings, Bussy and colleagues  reported that those with DS could implicitly learn a sequence of movements at levels comparable to MA-matched TD peers. Thus, the limited research available indicates that while implicit memory is not equivalent to chronological age expectations in adolescents and adults with DS, it is not impaired beyond mental age expectancies in DS. Because past research with children with DS consistently has found impairments in explicit memory that exceed global learning difficulties (i.e., performance below MA expectations) [36, 37], we will focus our review on explicit memory systems.
Explicit memory consists of actively retrieving memories and being cognizant of the prior learning process. Explicit memory can be categorized as either semantic memory (i.e., general knowledge, facts, and vocabulary) or episodic (i.e., biographical, personal events, contextual memories) . Furthermore, memory models categorize the construct by time length and quantity of information to be recalled. With regard to time length, models have traditionally distinguished memory as either upheld for a matter of seconds (i.e., STM) or stored and retrieved at a later point in time (i.e., LTM) [40, 41]). These distinctions have roots in James’ early descriptions of primary (STM) and secondary (LTM) memory (). Another factor that has been used to distinguish STM and LTM is the amount of information to be recalled . More specifically, STM is believed to have a limited capacity, that is, the to-be-recalled information must fall within an individual’s immediate memory span [43, 44]. Tasks that exceed an individual’s immediate memory span are referred to as supraspan memory tasks and are often categorized under the LTM umbrella. For the purposes of the current paper, we will refer to tasks that require immediate recall of subspan stimuli as STM tasks and those that require the recall of supraspan stimuli or impose a delay prior to the testing of recall as LTM tasks.
In addition, memory models often include WM (i.e., recalling and manipulating information to complete some task). Although both WM and STM involve short-term storage, models distinguish WM from STM due to the increased processing demands associated with WM tasks (i.e., attending to and manipulating information) [44, 45]. This distinction appears to be an important one when considering relations between these two short-term memory systems and higher level cognitive skills. Specifically, research suggests that WM, in particular, is highly predictive of intellectual abilities in those with typical development . Furthermore, research has suggested a discrepancy between STM and WM abilities in the DS population. Individuals with DS demonstrate a significant impairment in verbal and nonverbal WM skills, yet do not consistently demonstrate impairment in the nonverbal STM domain despite profoundly impaired verbal STM abilities (for a review, see ). Consequently, to better understand the nuanced memory abilities of individuals with DS, we will examine WM distinctly from STM.
Lastly, it should be noted that while we have organized our review of memory in DS utilizing these three memory domains, theories of memory and its fractionation are ever evolving, with some researchers arguing that the content of memory is more important to consider than the timing of stimuli presentation and recall (e.g., ). Given that the vast majority of studies examining memory in DS utilize LTM, STM, and WM to describe tasks demands, the current review adopts these terms. However, we will briefly touch upon alternative memory frameworks and their implications for the future of DS memory research in the “Discussion” section.
We will now review what is known about LTM, STM, and WM abilities in DS over the lifespan. Our review of these memory domains will also distinguish between impairments in verbal and nonverbal modalities (i.e., visual or spatial abilities), as memory abilities do appear to differ based on the modality of the to-be-recalled stimuli (; for review, see ). Additionally, memory studies will be organized into three developmental periods: preschool (≤ 5 years old), school-age and adolescence (6 to 17 years old), and adulthood (≥ 18 years).
Literature review and analytic methods
The current literature was garnered through a systematic search of online databases. Specifically, keyword combinations included “Down Syndrome” or “Trisomy 21” and “memory,” “short-term memory,” “long-term memory,” and “working memory”. This search produced 1534 unique articles via the online databases PubMed, PsycInfo, and Web of Science. (A total of 2446 articles were identified with 912 redundancies.)
The first author completed the initial search of the literature. This was followed by a second review of abstracts by the second author. Studies were selected that either (a) compared a participant group with DS to a control group (either typically developing individuals or individuals with intellectual disabilities) or (b) examined older adults with DS and compared performance at different ages. To be included in the current review, the study was required to include at least one memory assessment (i.e., LTM, STM, or WM). This resulted in a selection of 106 studies which have informed our review of LTM, STM, and WM in DS.
Next, we chose a subset of the 106 studies to gather effect size data to examine the average magnitude of the impairment within each memory domain and modality relative to mental age expectations. The following criteria were imposed to identify tasks from these 106 studies for which effect sizes would be calculated for the current review: (1) the study included a typically developing, mental age-matched comparison group, (2) means and standard deviations were available so that effect sizes could be calculated or effect sizes were reported, and (3) the study provided adequate description of task demands to determine if it should be included in the LTM, STM, or WM sections. Adequate description for LTM tasks included a description of a delay (minutes to days) between memory encoding and retrieval or a description of recall after an extended presentation of stimuli (i.e., includes repeated recall of supraspan item lists in which learning was evaluated over multiple trials). For STM tasks, a description of immediate retrieval of subspan items after encoding was required. Lastly, WM tasks were included if the tasks required immediate retrieval of information and manipulation of the to-be-remembered material. It is important to note that the key distinction between STM and WM studies was the dual task nature of the WM studies, i.e., one not only needs to recall but also must manipulate the material. If a task was described in a study as being a WM task but it did not have a discernible manipulation/dual task component, we included it in the STM table and STM effect size calculations.
When choosing the outcome measure to report on for effect size calculations, if a study presented two outcome variables for one task, we chose the outcome variable that summarized the overall performance best, and consistently chose the same outcome variable for the same task across studies (if possible). Additionally, if the study reported on errors, resulting in a positive effect size indicating worse performance, the sign was reversed (i.e., negative effect size) to maintain consistency and more easily reflect the impaired performance in which negative Cohen’s d values reflect poorer performance by the DS group relative to the MA group.
Exclusionary criteria for evaluating effect sizes were as follows: (1) non-parametric statistical analyses were used in the original paper and/or the authors of the paper noted that the distribution of the data for a particular task was non-normal, suggesting that the mean may not be the most suitable measure of central tendency, (2) the manuscript described performance of subgroups of individuals with DS rather than the group as a whole (e.g., studies where good vs. poor readers with DS were described), (3) tasks were used to examine factors that influence memory impairments in DS rather than quantify the extent of impairment relative to controls, and (4) the modality of stimuli presentation differed from the modality being evaluated (i.e., visual presentation for verbal recall). Further, for the STM domain, effect sizes were not calculated for nonword repetition or sentence memory tasks due to the concern that STM difficulties might be overestimated and due to prominent articulation and syntactic processing deficits in DS (see  for a review), respectively. Similarly, effect sizes were not calculated for studies employing story memory tasks, given the added syntactic processing demands of such tasks.
Decision to include a study in the domain in which it was placed was established by consensus between the first and second authors. For transparency about the demands of the tasks that fell into the different domains—LTM, STM, and WM—and for effect size calculations, we have provided detailed task descriptions in a supplementary table (Additional file 1: Table S1). Using the established criteria, 26 of the 106 studies contributed data for effect size calculation; from these studies, 71 effect sizes were calculated. Of these 71 effect sizes, 38 (53%) were derived from studies with an overall MA-matched TD group, 9 (13%) were matched on nonverbal MA, and 24 (34%) were matched on verbal MA (as measured in nearly all cases by a receptive vocabulary task). We then plotted effect size estimates as a function of mean chronological age of the DS group for the LTM, STM, and WM studies reviewed in order to summarize existing data visually. These figures include DS and TD comparisons only (i.e., not DS and ID comparisons). Some studies used multiple tasks, and thus, the tasks are plotted separately (i.e., a study’s findings can be found in multiple figures if tasks tapped different memory domains; also, if multiple measures of the same memory domain were included, these are plotted separately in the same figure).
LTM refers to the process of storing information that can be retrieved for use in minutes, hours, or years later. It involves three stages: encoding (i.e., extracting distinct factors to form a memory), storage (i.e., maintenance of memories), and retrieval (i.e., obtaining information from storage), and is thought to call upon a complex network of neural structures, including the hippocampus, the perirhinal cortex, and the parahippocampal cortex . LTM is often assessed using tasks in which an individual is introduced to a novel set of stimuli and then asked to recall that information over several trials and/or following a delay (e.g., 20 to 30 min). Examples of standardized verbal and visual LTM tasks include the California Verbal Learning Test (CVLT) and the Rey Complex Figure Test (RCFT), respectively [52, 53]. The CVLT is a list-learning task in which participants must recall supraspan lists of words that are repeated over several trials and following a delay. The RCFT involves recalling the configuration of a complex figure both immediately and following a delay. These two types of tasks tend to be used with school-age and older participants with DS to evaluate LTM. Examples of tasks used with children prior to the school-age years (before the age of 5) tend to involve delayed imitation (e.g., learning a three-step action sequence and recalling after a delay) and object location memory (e.g., recalling the location of a toy after a delay). LTM abilities across the lifespan in DS are described in the following sections. In addition, Table 1 summarizes the existing research literature in greater detail.
Preschool studies (≤ 5 years old)
No studies of which we are aware examine verbal LTM abilities in preschool children with DS; consequently, our knowledge of LTM in the verbal modality does not begin until school age. In contrast, there are a few studies that have examined nonverbal LTM abilities in the preschool age, but findings are mixed. Roberts and Richmond (2015) found preschool-age children with DS performed comparably to their MA-matched peers on object location recall and deferred imitation tasks after a 24-h delay . Consequently, these researchers concluded that LTM impairments (in excess of MA) did not begin until after the early childhood years in DS. In contrast, Milojevich and Lukowski (2016) reported impaired performance on recall of sequenced information by preschool-age children with DS compared to MA-matched peers after a 1-month delay. Therefore, the researchers contended that LTM impairments (in excess of MA) are present in preschool children with DS . Thus, the limited data from preschool suggest that although children with DS may have MA expected nonverbal LTM performance after a shorter delay (24-h), their performance appears worse than MA expectations after a month-long delay. Clearly, more research is needed to clarify LTM abilities in the early developmental years of DS. Such research could help clinicians identify target ages to provide memory interventions, perhaps prior to the onset of significant deviations from mental or even chronological age expectations.
School age and adolescent studies (6 to 17 years old)
Within LTM research, there has been a consistent finding of significant verbal LTM impairments among adolescents with DS. With the exception of one study , DS groups perform significantly worse than MA-matched TD peers on list-learning tasks with a delay [9, 56, 57]. Additionally, Nichols  found adolescents with DS had significantly more intrusive responses and impaired discrimination abilities on list recall compared to MA-matched controls.
In comparison to children with ID, several studies have reported that teens with DS performed significantly worse on verbal LTM tasks [56, 58, 59]. However, when compared to children with Williams syndrome (WS), teens with DS have been reported to have equivalent performance on verbal list-learning long-delay recalls (e.g., CVLT-Children’s Version)  and better performance on a word list learning task . Thus, although research indicates adolescents with DS perform below MA-matched typically developing controls on verbal LTM assessments, additional research is needed to clarify whether this deficit is comparable or less significant than that found in other ID groups.
Similar to their verbal LTM abilities, most studies report that adolescents with DS demonstrate impaired performance on nonverbal LTM tasks in comparison to TD children matched on MA (e.g., [9, 56, 60], but see [61, 62]). Specifically, teens with DS exhibit impaired performance on visual associative memory tasks, pattern recognition, and spatial LTM tasks (e.g., maze location and spatial location recall tasks; ) compared with MA-matched children.
However, teens with DS largely have similar or stronger performance when compared to groups with mixed ID or WS on visual LTM tasks [55, 56]. In addition, adolescents with DS have demonstrated significantly greater performance than children with WS on spatial LTM tasks . Thus, there appears to be consistent evidence that adolescents with DS perform comparably or better than other ID groups, yet worse than MA-matched TD comparison groups on nonverbal LTM tasks in the majority of research studies.
Adult and older adult studies (18 years and older)
Adults with DS continue to perform below MA expectations on LTM tasks. The very limited data available suggest that on verbal LTM tasks, adults with DS perform worse than MA-matched typically developing controls . Similarly, several studies that have compared adults with DS to ID groups have reported lower performance [63,64,65], which includes research that has shown that adults with DS have significantly longer response latencies on verbal memory tasks  and lower levels of improvement across repeated testing  relative to other ID groups. Furthermore, unlike other ID groups, performance on word list learning tasks is inversely related to age in adults with DS [63, 66]. Additionally, younger adults with DS show improvement with repeated testing of verbal LTM list-learning tasks (e.g., selective reminding task), while older adults actually exhibit a small decrease in performance across testing .
Research has also shown that adults with DS perform significantly worse than MA-matched TD controls on nonverbal LTM tasks [36, 67,68,69]. Research comparing nonverbal LTM in those with DS to other ID groups reveals mixed findings, with some studies reporting similar performance on some tasks ([70, 71]) and greater impairment on others [69, 70]. Research within the DS population has demonstrated that nonverbal LTM memory begins to decline in young adulthood [72, 73]. In particular, performance on tasks with higher cognitive load (i.e., increased number of stimuli) significantly declines with age in adulthood [74, 75].
The majority of adult research comparing LTM abilities (both verbal and nonverbal) of DS groups to TD groups focuses on individuals with an average age in the 30s. Many studies examining memory abilities of older adults do exist. However, these studies typically compare adults with DS at different age points, rather than comparing to mental age-matched TD participants. Consequently, the field lacks research examining older adults with DS compared to those with typical development.
LTM across development in DS
To summarize the existing literature in DS across development visually, we calculated effect sizes using Cohen’s d  (i.e., DS group mean–MA-matched TD control group mean/pooled standard deviation) for published studies that fit our inclusion/exclusion criteria (delineated in the “Literature review and analytic method” section). These studies are in italics print in Table 1. We have summarized the effect sizes of findings from existing LTM studies of DS as a function of the mean chronological age of the DS group and task modality in Fig. 1. In addition, in this figure, we have noted the method by which the DS group was matched to the typically developing group (verbal, nonverbal, or overall MA) and included details about the assessment tool used to match DS and TD participants in Table 1. Additional file 1: Table S1 provides greater details about the tasks included in Fig. 1.
First, collapsing across studies ignoring age, we find the mean effect size for the LTM domain is medium to large (d = −.73 overall). The effect size for verbal LTM (d = −0.94) is large, while the effect size for nonverbal LTM is medium (d = −.68). Thus, it is clear that LTM abilities deviate from mental age expectations in DS. Moreover, impairments are evident (in most studies) from an early age and persist across development. There is a suggestion in the data of greater nonverbal LTM impairments relative to mental age expectations later in development. However, given the differences in the tasks used across development, different mental age matching strategies, and the lack of longitudinal research, this observation is made very tentatively.
STM refers to a limited capacity, immediate memory system in which small amounts of information can be actively upheld and preserved for a matter of seconds. With regard to its neural correlates, STM encoding and retrieval involve a network of regions, including the frontal lobes, inferior portions of the parietal lobe, hippocampus, and superior portions of the temporal lobe [77,78,79,80]. However, neuroimaging data suggest that somewhat separate cortical networks underlie verbal vs. visual STM performance. For example, phonological storage is thought to involve the left posterior parietal cortex while rehearsal is thought to involve the left premotor cortex, Broca’s area, and supplementary motor cortex (for a review, see ). In contrast, visual storage is thought to rely upon the right anterior occipital cortex, while rehearsal is thought to involve the right posterior parietal and premotor cortex (for a review, see ).
To assess STM, visual or verbal span tasks are typically administered, such as Corsi Span or Digit Span, respectively, in which individuals must recall a sequence of blocks (visual) or digits (verbal) verbatim . Other examples of STM tasks include immediate subspan word list recall (verbal), pattern recall (visual), and picture location recall (visual). We summarize the existing literature by age group in the sections that follow. In addition, we provide details about studies of STM in DS in Table 2, and age-effect size relations are displayed in Fig. 2.
Preschool studies (3 to 5 years old)
Very limited research exists that examines STM abilities in very young children with DS. Existing research suggests impairment relative to youth with FXS . However, it is clear that more STM research is needed during this developmental period. With that, we turn to studies during the school-age and adolescent period.
School age and adolescent studies (6 to 17 years old)
During childhood and adolescence, the vast majority of research suggests that individuals with DS perform worse than MA-matched peers on verbal STM tasks such as digit span and immediate word list recall (e.g., [9, 49, 84]). Additionally, research suggests children and adolescents with DS make smaller gains on verbal STM tasks across development in comparison to MA-matched TD children, and this deficit becomes worse with age [85,86,87].
The majority of research comparing DS to ID groups has found adolescents with DS show greater verbal STM impairments than other ID groups, as well as children with speech language impairments, and children with focal brain lesions (e.g., [84, 88,89,90]). However, research findings are mixed, with several researchers reporting comparable verbal STM skills to those with other forms of ID (e.g., [58, 91]).
In comparison to their verbal STM abilities, adolescents with DS have relatively stronger nonverbal STM skills . However, findings regarding whether these skills are below mental age expectations when compared to typically developing youth and youth with other forms of ID are variable. In comparison to TD youth, most studies suggest comparable or poorer performance on nonverbal STM tasks (e.g., [93,94,95]). In comparison to other ID groups, most studies report comparable or stronger performance (e.g., [25, 58, 96, 97]). Therefore, while research has demonstrated nonverbal STM skills are a relative strength compared with verbal STM abilities within DS, findings are mixed with regard to whether these skills differ from those observed in TD or ID peers matched on mental age during this time period.
Adult and older adult studies (18 years and older)
As individuals with DS age, research has shown STM abilities remain impaired. Compared to MA-matched controls, including both verbal-matched and nonverbal-matched controls, young adults with DS are significantly impaired on verbal STM tasks such as digit and word recall tasks [98,99,100]. Additionally, DS groups perform worse in comparison to MA-matched TD controls on tests requiring recall of a missing item (item memory) or an entire list (serial memory) .
Research comparing adults with DS to those with other forms of ID on verbal STM tasks is mixed. While the majority of studies demonstrate greater impairments relative to other ID groups (e.g., [102, 103]), several studies report similar levels of impairment ([64, 104]), and a recent study that compared adults with DS to adults with Cornelia de Lange syndrome revealed stronger performance in the DS group .
Although research has suggested that nonverbal STM abilities are relatively stronger than verbal STM skills in DS , few studies have compared nonverbal STM in DS to MA-matched controls or other ID groups in adulthood. The limited data suggest that adults with DS perform comparably to TD comparison subjects with similar mental ages (e.g., [107, 108], but see ), and other adults with ID (e.g., [65, 109]), suggesting that nonverbal STM impairments are relatively in line with mental age during adulthood.
STM across development in DS
We have summarized the effect size data from past studies in Fig. 2, which depicts STM effect sizes relative to MA-matched comparison subjects using Cohen’s d organized by age and task modality. (See Table 2 and Additional file 1: Table S1 for greater details about the studies and tasks included in Fig. 2.) The average Cohen’s d value collapsed across verbal and nonverbal STM studies was − 0.91. This large effect was driven by studies of verbal STM for which the effect size was large (− 1.40), suggesting significant impairments in excess of overall cognitive limitations. In contrast, the small effect size for nonverbal STM of − 0.32 suggests that nonverbal abilities only slightly deviate from mental age expectations.
Looking across the ages studied, there is consistent evidence for verbal STM impairment in DS relative to MA-matched comparison groups beginning in school age and into adulthood. However, it is important to note that limited data are available in early childhood. Turning to nonverbal STM, effect size data are limited to a very restricted age range, with the preponderance of studies between the ages of 11 and 14. These data suggest nonverbal STM performance is somewhat weaker than MA-matched peers, although this is based primarily on inconsistent findings across studies with adolescents.
WM, or “working with memory” , refers to the ability to maintain and manipulate information for a brief period of time. Similar to STM, WM involves temporary storage of limited amounts of information, but it also requires maintenance and attention while simultaneously processing information, avoiding distraction, and/or engaging in cognitive shifting [111, 112]. As reviewed by Wager and colleagues , WM activates a wide network of neural regions, including numerous frontal and parietal regions. These regions appear to differ based on the nature of the tasks. For example, in tasks requiring updating and sequencing information, the dorsolateral prefrontal cortex and the superior frontal sulcus are involved, while manipulation tasks require the ventral and anterior prefrontal cortex.
Assessments of WM are often similar to STM, with additional components requiring increased attention and/or manipulation of the to-be-remembered stimuli. Verbal WM tasks include digit span backward, backward word span recall, and selective word recall (e.g., hearing multiple lists of words and recalling the first word from each list after the presentation of all of the lists). Nonverbal WM tasks include spatial span backward or tasks that require recall of the first step in a series of steps.
Overall, research on WM abilities in DS remains limited across the lifespan. Very few studies have examined these abilities in early childhood or in adulthood. However, the majority of research studies report that adolescents and young adults with DS perform below MA expectations on both verbal and nonverbal WM tasks. Existing studies are summarized in detail in Table 3 and age-effect size relations are illustrated in Fig. 3.
Preschool studies (3 to 5 years old)
No studies of which we are aware have examined WM abilities using direct cognitive assessment in young children with DS. This is likely due to the complexity of such tasks and difficulties adapting WM tasks to be understandable to very young children. Thus, we turn our attention to studies of school-age children and adolescents.
School age and adolescent studies (6 to 17 years old)
Similar to performance on verbal STM tasks, children and adolescents with DS are significantly impaired on verbal WM tasks. With few exceptions (e.g., ), youth with DS perform significantly worse on verbal WM tasks compared to MA-matched children and this deficit increases as the task difficulty increases (e.g., [92, 114,115,116]). Furthermore, even when matching children on vocabulary abilities or reading comprehension abilities, children with DS consistently perform worse than TD children on verbal WM tasks . In contrast to the consistent findings relative to MA-matched peers, the limited studies available have provided conflicting results when comparing performance of groups with DS to other ID groups [25, 90, 118].
Analogous to verbal WM findings, many studies suggest that children and adolescents with DS have significant nonverbal WM impairments compared with MA-matched peers [90, 92, 115,116,117, 119]. However, findings are mixed with several studies noting similar performance to MA-matched TD participants [9, 119, 120]. In comparison to other ID groups, findings are also mixed; some studies (e.g., ) found children with DS have comparable nonverbal WM abilities, while others have reported greater impairments compared to other ID groups [90, 118, 121]. Therefore, further research is needed to determine if nonverbal WM is a deficit beyond MA expectations and if this deficit is unique to DS.
Adult and older adult studies in DS
Research regarding WM abilities in adults with DS is very limited. The available data indicate that adults with DS perform worse than MA-matched TD individuals on verbal WM tasks [108, 122], yet do not significantly differ from other ID groups . With regard to nonverbal WM abilities in adults with DS relative to TD comparison groups, only one study has examined this and reported comparable performance . In comparison to other ID groups, the very limited data suggests comparable performance as well [105, 123]. However, research examining aging in DS (without a TD comparison group) suggests declining executive function abilities beginning in middle adulthood and that these abilities are one of the first cognitive skills to deteriorate in the early stages of dementia [124,125,126]. Because WM is thought to be a form of executive functioning, studies that examine WM from adolescence into young and middle adulthood may help to identify precursors to dementia in those individuals with DS who will go on to develop it.
WM across development in DS
The effect size findings of past studies are summarized in Fig. 3. (See Table 3 and Additional file 1: Table S1 for greater details about the studies and tasks included in Fig. 3). As can be seen, the majority of WM studies have been conducted with adolescents. Thus, our ability to describe WM abilities across the lifespan in DS is quite limited. Of the existing studies, the average Cohen’s d value collapsed across verbal and nonverbal WM studies is − 0.81, suggesting a large effect. The mean effect sizes for verbal WM and nonverbal WM considered individually are medium to large (verbal WM Cohen’s d = − 1.0; nonverbal WM Cohen’s d = − 0.58). Thus, there is a suggestion that WM impairments are significantly greater than global cognitive impairments in DS in adolescence, but more research is needed earlier and later in development.
In this review, we summarized the literature on memory impairments in DS from a developmental perspective by grouping studies into three developmental periods: preschool, school-age and adolescence, and adulthood. We presented findings on LTM, STM, and WM (distinguishing between the verbal and nonverbal modalities) and examined the degree of impairment (measured using Cohen’s d) relative to mental age-matched TD controls across studies in each domain. In addition, we summarized the results of studies in which DS performance was compared to that of another ID group to evaluate the degree to which the reported impairment appeared to be specifically associated with DS or rather a more general correlate of intellectual disability. These findings are summarized in the sections that follow.
With only a few exceptions [35, 55, 61, 62], our review of LTM abilities suggests impairment across development in excess of overall cognitive impairment. As it is difficult to study verbal LTM in young children, the existing literature on DS identifies impairment in excess of overall cognitive abilities (i.e., below mental age) by adolescence and continuing into adulthood. Turning to nonverbal LTM, there is evidence for impairments in excess of global learning difficulties beginning during the preschool period (e.g., [36, 54, 69], but see ) and continuing through the school-age years and into adulthood (see Table 1 and Fig. 1). Additionally, a review of findings across development suggests that LTM impairments may be somewhat greater later in life. However, this observation is very tentative, as the appropriate research studies have not been conducted to truly describe changes in LTM across the lifespan. Thus, further research should examine the relation between age and nonverbal LTM impairment through longitudinal investigations that track the same participants over the course of development and, importantly, compare performance not only to mental age expectations but also to chronological age expectations. This latter comparison will provide a true evaluation of trajectory differences between individuals with DS and typically developing peers, thus providing a better estimate of how LTM skills in DS deviate from age expectations over time.
Our review provided support for the presence of a significant verbal STM impairment compared to MA-matched typically developing groups. This impairment was evident from the school-age years and persisted into adulthood. In contrast, research findings on nonverbal STM abilities (particularly during the school age/adolescent period) are mixed. Yet, it is important to note that our review of effect sizes for nonverbal STM suggests a small effect (− .32) relative to TD controls matched on mental age overall. This effect is substantially smaller than that seen for verbal STM (− 1.4), suggesting that STM is not universally below mental age expectations in DS. Rather, impairments are much more pronounced when verbal STM is considered (see Table 2 and Fig. 2).
Research on WM abilities in DS across the lifespan is extremely limited. This is in part due to the fact that the majority of research examining limited capacity memory systems used traditional STM tests, rather than WM tests (i.e., tasks that require short-term retention and manipulation of the to-be-remembered material). Nonetheless, the preponderance of studies report that verbal WM abilities are below MA expectations from adolescence into adulthood. Studies evaluating nonverbal WM present varying results relative to mental age-matched TD groups. Unfortunately, we are limited in what we can say about WM (verbal and nonverbal) abilities in adulthood, as studies are sparse. Due to the scarcity of WM research across different developmental periods and the potential impact it could have for clinical care and interventions in DS, future research is needed to provide a better understanding of WM abilities across the lifespan in this population.
In this review, we also identified studies that compared DS performance to that of peers with ID to evaluate whether the impairment in DS is greater than that seen in groups with another form of ID, or if it may represent a more general characteristic of ID. Of the research examining memory abilities in ID groups, there is the largest number of studies examining STM. Within these studies, WS was the most frequently compared group to DS. There is a long-standing recognition of a so-called double dissociation between verbal and nonverbal STM abilities for these groups, such that those with WS are reported to have stronger verbal STM skills, while those with DS are reported to have stronger nonverbal STM skills (see Table 2). However, a few more recent studies reported no differences between these groups on verbal STM ([91, 92]). Studies comparing verbal STM abilities of those with DS to other ID groups are mixed, but the majority of studies suggest greater verbal STM deficits in DS than in other ID groups [58, 64, 84, 88, 89, 91, 102, 127]. Lastly, findings for nonverbal STM as well as both verbal and nonverbal LTM and WM are also mixed when comparing the performance of those with DS to other ID groups (see Tables 1, 2, and 3).
Thus, based on our review of the literature, there appears to be a lack of conclusive evidence regarding whether STM, LTM, and WM impairments in DS differ in degree from those in the other ID groups. Of all of the domains and modalities reviewed, there is the greatest evidence that verbal STM impairments are weaker than in other ID groups. However, given that findings are mixed, strong conclusions about the specificity of this deficit to DS cannot be made. Such mixed findings across LTM, STM, and WM suggest that impairments in memory may characterize ID more generally. However, given the limited number of studies for certain domains, particularly LTM and WM (especially in adulthood), it appears that future research is needed to answer this question. One area that could benefit from greater research in the future is the study of WM in adulthood (both comparing DS to ID and TD groups). Such research may inform studies examining the development of AD in adults with DS, given that research suggests that executive function (which includes working memory as a subdomain) impairments are among the first to emerge in those with DS who develop AD [124,125,126].
Having summarized the existing behavioral literature on memory impairments in DS, we now turn to a brief review of the neural correlates of memory and how these can be conceptualized within the context of the DS neural phenotype. Given the profound impairments in explicit memory systems observed in individuals with DS, the medial temporal lobes and the hippocampal formation in particular have been the focus of several neuroimaging investigations in DS. Consistent with conclusions drawn from behavioral memory studies, imaging studies have documented reduced volume in the hippocampi and connectivity disturbances in the limbic system of individuals with DS across the lifespan [128,129,130,131]. Turning to STM and WM, studies of these skills in those with typical development and those with acquired lesions have identified the central roles of the parietal and frontal lobes for the completion of such tasks [132, 133]. Consistent with these findings, neuroimaging investigations have revealed that in addition to reduced whole-brain volume, children and adults with DS have reduced frontal gray matter volume and parietal white matter volume, as well as lower levels of activation in the parietal lobes compared to TD peers [128, 134,135,136]. Moreover, youth with DS have increased cortical thickness in the frontal and parietal lobes, suggesting possibly less “mature” cortex in these brain regions . Furthermore, because STM and WM processes require interaction between cortical regions and the hippocampus ([77,78,79,80]), behavioral data suggest impairment in connectivity among neural regions in DS. Past research has shown unique patterns of neural activity in children with DS and, in particular, under-connectivity between distant neural regions in those with DS compared to TD controls [6, 138].
Lastly, as previously stated, AD neuropathology results in neurodegeneration of the brain, particularly in the medial temporal and frontal lobes. Imaging studies of the DS population have revealed age-related atrophy in the frontal and medial temporal lobes, particularly in the hippocampus, similar to the beginning stages of AD in the TD population ([139, 140]). Furthermore, studies have shown hippocampal atrophy in adults with DS is correlated with their performance on memory measures (). However, neuroimaging data of the DS population has shown atypical volume, as well as atypical connectivity, in the frontal lobe and medial temporal region, prior to the onset of AD [128,129,130,131]. Consequently, it appears that AD neuropathology further alters already atypical neural structures in DS.
Limitations and future directions
The current review is not without limitations. We will note these here and focus on a few of these limitations to draw attention to avenues for future research. First, in the current review, we have attempted to examine the degree to which memory impairments in DS deviate from mental age expectations at different age points. However, a more effective way to examine developmental trajectories of memory skills is to compare DS performance to chronological age expectations. This limitation in our review is driven by the state of the literature, as the vast majority of studies of individuals with DS compare performance to younger, typically developing individuals based on mental age. In most instances, it would be a foregone conclusion that individuals with DS would perform more poorly than those of the same chronological age without ID. Thus, the desire in studies using MA-matched comparison groups is to demonstrate that challenges in a particular memory domain are in excess of overall cognitive limitations. However, the inherent difficulty with this approach is that our descriptions of cognitive abilities in DS (and other forms of ID) are relative to overall mental abilities, which by definition are atypical in this population. If the true desire is to demonstrate the degree of impairment and ultimately track this over time, then a chronological age-matched comparison group would be more appropriate. However, this leads us to another difficulty that is likely to be contributing to the bias in the field, namely, limitations in current assessment tools.
The availability of current instruments to evaluate memory or other domains of neuropsychological functioning is greatly limited by the developmental level of the targeted participants. Often separate tests are developed for pediatric and adult populations, likely due to difficulties designing tasks that would be easy enough for a child to complete but challenging enough for an adult to complete. Thus, researchers are left with the task of identifying assessment tools that will be appropriately challenging for all participants in their study. However, to truly understand how DS and other ID groups’ performance on different neuropsychological domains vary as a function of chronological age, better assessment tools are needed. Thus, future research should focus on developing such assessments. While there are a few instruments available now that capture individual differences across a wide age range (e.g., NIH toolbox, some intelligence tests), more assessment tools are needed to measure memory from infancy to adulthood.
Another potential limitation of the current review is that some tasks (especially experimental ones) that were classified as belonging to one of the three memory domains (i.e., LTM, STM, WM) could be deemed by another researcher as belonging to a different domain. We encountered this on a few occasions when distinguishing between STM and WM studies. Specifically, some researchers (e.g., ) classified tasks as WM tasks (with low cognitive load) that we classified as STM tasks using our operational definitions of the two constructs. To increase transparency about our classification decisions, we (a) provided detailed definitions of the distinctions between LTM, STM, and WM in the methods, (b) gave examples of the types of tasks that fall into these different memory domains in each section of the review, and (c) provided detailed descriptions of task demands for the LTM, STM, and WM tasks included in our effect size analyses in Additional file 1: Table S1.
While we recognize this limitation in the current review, it is interesting to note that theories of memory fragmentation are evolving and tending to rely less on the temporal dimension of memory domain distinctions (e.g., the difference between STM and LTM) and instead focus more on the content to be remembered. For example, based on both human and animal research on the neural systems underlying different aspects of memory, Nadel and Hardt  argue that a representational view of memory, rather than one that emphasizes the temporal aspects of memory recall, may more accurately capture how the brain stores memories. This more nuanced view of memory has been applied in recent research studies of DS (e.g., ) and has been fruitful in identifying congruence between performance on different memory tasks by humans with DS and animal models of DS. Thus, while the state of the existing literature on DS necessitated the use of these classical memory distinctions, evolving theories of the embodiment of memory in the brain suggest that new constructs and distinctions are likely to result in a revised description of the nature of memory impairments in DS.
Fourth, as is apparent from a review of the tables and figures in this paper, the bulk of research on memory abilities in DS has been conducted with teens and young adults. As a result, we know very little about the development of these skills in preschool and early childhood and in later adulthood. Currently available cognitive assessments used to examine these skills are not adequate to examine young children with DS. Consequently, without adequate assessments, research has neglected to examine these memory domains in younger children. Given that DS is associated with precocious-onset Alzheimer’s disease, which involves declining LTM skills  and executive functions [125, 126], more research is needed early and later in life in order to document the typical trajectory of these skills in DS. Identifying the typical trajectory of memory abilities could support the identification of developmental periods during which the application of interventions would be most beneficial. Additionally, such research may aid efforts to identify Alzheimer’s disease symptoms sooner so that earlier interventions may be implemented for those affected.
Fifth, in addition to the need to expand our knowledge of the lifespan trajectories of different domains of memory function, there is also a need for greater research on the relationships between memory and real-world outcomes, such as IQ, academic success, and adaptive functioning. Past research has suggested both STM and LTM abilities are associated with intelligence scores (i.e., STM r = .84, LTM r = .52; ), adaptive behavior (i.e., STM r = .0.39, LTM r = .28; ), and language abilities (i.e., combined STM and LTM scores r = .72; ) in DS. However, further research, particularly using a longitudinal design, could help pinpoint the cognitive underpinnings of the complex learning deficits in DS and thus inform educational strategies for these individuals.
Furthermore, although research has consistently documented adaptive function deficits in individuals with DS [5, 6, 144], research examining the relation between memory and adaptive function remains very limited. The two studies examining this relationship found that LTM performance is predictive of adaptive function in teens with DS, after accounting for age [9, 25]. However, no studies of which we are aware examine this correlation in childhood or adulthood or utilize a longitudinal design to evaluate this relation over time. If concurrent and predictive associations do exist, interventions that target memory (pharmaceutical or behavioral) could aid adaptive function and, consequently, improve quality of life and independence skills across the lifespan. Therefore, gaining a better understanding of the relation between memory and adaptive function in the DS population is vital due to the importance of adaptive function skills for independence .
Moreover, more research on memory interventions is needed across development. With regard to behavioral interventions, research examining memory training effects for those with DS has primarily focused on immediate recall or recognition skills (i.e., STM). For example, verbal STM abilities have been shown to improve through memory training that includes routine practice of STM tasks, and practice of immediate rehearsal techniques ([146, 147]). Encouragingly, the limited research available has demonstrated that improvements in verbal STM are associated with language comprehension performance, suggesting verbal STM training may also improve language abilities in this group . Complementing intervention studies targeting verbal STM, research suggests improvements in visual STM performance in youth with DS after routine memory training ([148, 149]). Additionally, children who completed memory training demonstrated transfer effects (to other, untrained STM tasks), suggesting that this training can result in generalization beyond trained tasks to other types of tasks requiring STM skills ([148, 149]). Future research should continue to focus on the utility of STM interventions to shrink the gap between STM abilities and overall cognitive abilities and more importantly improve real-world outcomes in language and reading abilities that have been linked to this memory domain.
In addition to memory training, pharmacotherapy in the DS population has been an area of focus in recent years. Preclinical research on the Ts65Dn mouse, the best characterized murine model of DS, created a strong basis of understanding for clinical research. Specifically, studies of the Ts65Dn mouse have shown that interventions targeting GABA and NMDA receptors can improve memory functioning, and pharmaceutical interventions using neuroprotective agents and antioxidants can target neurodegeneration (i.e., AD in DS; for review, see ). However, clinical studies on individuals with DS have found mixed effects for the pharmaceutical interventions successfully used for the Ts65Dn mouse model. For example, clinical studies examining antioxidant therapy have failed to demonstrate cognitive improvement in both children and adults with DS ([151, 152]). Additionally, donepezil, thought to maintain levels of acetylcholine, which influence memory and language abilities, has failed to improve cognitive measures in individuals with DS (). A recent clinical trial has focused on the use of EGCG (epigallocatechin-3-gallate) to improve memory functioning (). EGCG is an inhibitor of DYRK1A, a triplicated gene thought to influence the expression of ID in DS. This study found improvement in visual and verbal STM after 12 months of EGCG therapy. Lastly, memantine, an NMDA antagonist, has produced mixed findings among clinical trials. Boada () found adults with DS (ages 18 to 32) had proved verbal (CVLT) and nonverbal (paired associates learning) LTM performance compared to a placebo group. However, Hanney  found that memantine therapy had no effect for individuals with DS over the age of 40, suggesting that the AD neuropathology may be too far progressed at this age point for memantine to improve functioning. Although there is still much research to be done in this field, at least a few of the published early clinical studies demonstrate the potential efficacy of pharmaceutical interventions, and the need for earlier interventions before AD onset.
Lastly, research on memory abilities in DS could be supplemented by examining implicit memory and the neural systems underlying these abilities, including the basal ganglia and cortico-striatal networks (for a review, see ). Further exploration of this memory domain and research findings that identify similar basal ganglia volumes in adults with DS and chronological age-matched controls  could provide insights into neurobiological underpinnings of this relative memory strength and possibly identify compensatory targets for intervention to improve learning and memory in DS.
In conclusion, while behavioral research studies and neuroimaging investigations have provided a great deal of insight into the nature of memory impairments in DS and their neural correlates, more functional imaging and longitudinal research is needed to examine behavior-brain relations directly in DS. In addition, research employing nuanced memory tasks that have analogues for murine models of DS (such as ) will be important for advancing our understanding of the neural and possibly genetic underpinnings of the complex memory difficulties faced by individuals with DS. Such research could shed light on the etiology and developmental unfolding of these impairments and their (predictive) relations to real-world functioning over time. In turn, these investigations may support the development of targeted educational and pharmacological interventions to improve quality of life for those with DS and their families.
Finally, it is important to note that the quality of life and lifespan trajectories of individuals with DS have significantly improved over the past several decades and will hopefully continue to do so (for review, see ). Consequently, our understanding of adults with DS today cannot be used to predict the well-being and capabilities of an adult with DS in future years. Thus, it is important to recognize that descriptions of adults with DS are evolving, and thus, research will continue to be needed to provide more accurate descriptions of the capabilities and needs of adults with DS in future generations.
Conners FA, et al. Memory profiles of Down, Williams, and fragile X syndromes: implications for reading development. J Dev Behav Pediatr. 2011;32(5):405–17.
Parker SE, et al. Updated National Birth Prevalence estimates for selected birth defects in the United States, 2004-2006. Birth Defects Res A Clin Mol Teratol. 2010;88(12):1008–16.
Carr J. Six weeks to twenty-one years old: a longitudinal study of children with Down’s syndrome and their families. Child Psychol Psychiatry Allied Disc. 1988;29(4):407–31.
Dykens EM, Hodapp RM, Evans DW. Profiles and development of adaptive behavior in children with Down syndrome. Am J Ment Retard. 1994;98(5):580–7.
Dykens EM, Hodapp RM, Evans DW. Profiles and development of adaptive behavior in children with Down syndrome. Downs Syndr Res Pract. 2006;9(3):45–50.
Jacola LM, Hickey F, Howe SR, Esbensen A, Shear PK. Behavior and adaptive functioning in adolescents with Down syndrome: specifying targets for intervention. J Ment Health Res Intellect Disabil. 2014;7(4):287–305.
Fidler DJ, Nadel L. Education and children with Down syndrome: neuroscience, development, and intervention. Ment Retard Dev Disabil Res Rev. 2007;53(2):152–60.
Dykens EM, Hodapp RM, Finucane BM. Genetics and mental retardation syndromes: a new look at behavior and interventions. Baltimore: Paul H Brookes Publishing; 2000.
Pennington BF, et al. The neuropsychology of Down syndrome: evidence for hippocampal dysfunction. Child Dev. 2003;74(1):75–93.
Zigman WB. Atypical aging in Down syndrome. Dev Disabil Res Rev. 2013;18(1):51–67.
Mann DM, Yates PO, Marcyniuk B. Alzheimer’s presenile dementia, senile dementia of Alzheimer type and Down’s syndrome in middle age form an age related continuum of pathological changes. Neuropathol Appl Neurobiol. 1984;10(3):185–207.
Lott IT, Head E. Down syndrome and Alzheimer’s disease: a link between development and aging. Ment Retard Dev Disabil Res Rev. 2001;7:172–8.
Zigman WB, Lott IT. Alzheimer’s disease in Down syndrome: neurobiology and risk. Ment Retard Dev Disabil Res Rev. 2007;13(3):237–46.
Hardy JA, Higgins GA. Alzheimer’s disease: the amyloid cascade hypothesis. Science. 1992;256(5054):184–5.
Annus T, et al. The pattern of amyloid accumulation in the brains of adults with Down syndrome. Alzheimers Dement. 2016;12(5):538–45.
Handen BL, et al. Imaging brain amyloid in nondemented young adults with Down syndrome using Pittsburgh compound B. Alzheimers Dement. 2012;8(6):496–501.
Devenny DA, et al. Sequence of cognitive decline in dementia in adults with Down's syndrome. J Intellect Disabil Res. 2000;44(Pt 6):654–65.
Krinsky-McHale SJ, Devenny DA, Silverman WP. Changes in explicit memory associated with early dementia in adults with Down’s syndrome. J Intellect Disabil Res. 2002;46(Pt 3):198–208.
Oliver C, et al. A four year prospective study of age-related cognitive change in adults with Down’s syndrome. Psychol Med. 1998;28(6):1365–77.
Wisniewski KE, Wisniewski HM, Wen GY. Occurrence of neuropathological changes and dementia of Alzheimer’s disease in Down’s syndrome. Ann Neurol. 1985;17(3):278–82.
Lambert MA, et al. Estimating the burden of early onset dementia; systematic review of disease prevalence. Eur J Neurol. 2014;21(4):563–9.
Hyman BT, et al. Neuropathological changes in Down’s syndrome hippocampal formation. Effect of age and apolipoprotein E genotype. Arch Neurol. 1995;52(4):373–8.
Plassman BL, Langa KM, Fisher GG, Heeringa SG, Weir DR, Ofstedal MB, et al. Prevalence of dementia in the United States: the aging, demographics, and memory study. Neuroepidemiology. 2007;29(1–2):125–32.
Zigman WB, et al. Incidence and temporal patterns of adaptive behavior change in adults with mental retardation. Am J Ment Retard. 2002;107(3):161–74.
Edgin JO, Pennington BF, Mervis CB. Neuropsychological components of intellectual disability: the contributions of immediate, working, and associative memory. J Intellect Disabil Res. 2010;54(5):406–17.
Seung HK, Chapman R. Digit span in individuals with Down syndrome and in typically developing children: temporal aspects. J Speech Lang Hear Res. 2000;43(3):609–20.
Karmiloff-Smith A. Static snapshots versus dynamic approaches to genes, brain, cognition, and behavior in neurodevelopmental disabilities. Int Rev Res Dev Disabil. 2011;40:1–15.
Thomas MS, et al. Using developmental trajectories to understand developmental disorders. J Speech Lang Hear Res. 2009;52(2):336–58.
Edgin JO. Cognition in down syndrome: a developmental cognitive neuroscience perspective. Wiley Interdiscip Rev Cogn Sci. 2013;4(3):307–17.
Chapman RS. Language development in children and adolescents wtih down syndrome. Ment Retard Dev Disabil Res Rev. 1997;3(4):307–12.
Reber PJ. The neural basis of implicit learning and memory: a review of neuropsychological and neuroimaging research. Neuropsychologia. 2013;51(10):2026–42.
Butters N, Salmon D, Heindel WC. Specificity of the memory deficits associated with basal ganglia dysfunction. Rev Neurol (Paris). 1994;150(8–9):580–7.
Graybiel AM. The basal ganglia: learning new tricks and loving it. Curr Opin Neurobiol. 2005;15(6):638–44.
Komori K, Ikeda M. Neuropsychology of implicit memory. Japn Psychol Rev. 1999;42(2):219–38.
Roberts LV, Richmond JL. Preschoolers with Down syndrome do not yet show the learning and memory impairments seen in adults with Down syndrome. Dev Sci. 2015;18(3):404–19.
Vicari S, Bellucci S, Carlesimo GA. Implicit and explicit memory: a functional dissociation in persons with Down syndrome. Neuropsychologia. 2000;38(3):240–51.
Vicari S, Verucci L, Carlesimo GA. Implicit memory is independent from IQ and age but not from etiology: evidence from Down and Williams syndromes. J Intellect Disabil Res. 2007;51(2):932–41.
Bussy G, et al. Implicit procedural learning in fragile X and Down syndrome. J Intellect Disabil Res. 2011;55(5):521–8.
Jarrold C, Nadel L, Vicari S. Memory and neuropsychology in Down syndrome. Downs Syndr Res Pract. 2009;12(3):196–201.
Norris, D. (2017). Short-term memory and long-term memory are still different. Psychological Bulletin, 143(9), 992–1009.
Squire LR. The organization and neural substrates of human memory. Int J Neurol. 1987;21-22:218–22.
James W. The principles of psychology. New York: Henry Holt and Company; 1890.
Jeneson A, Squire LR. Working memory, long-term memory, and medial temporal lobe function. Lear Mem. 2012;19(1):15–25.
Cowan N. What are the differences between long-term, short-term, and working memory? Prog Brain Res. 2008;169:323–38.
Baddeley AD, Hitch GJ. Working memory. In: Bower G, editor. The psychology of learning and motivation. New York: Academic Press; 1974. p. 47–89.
Engle R, et al. Working memory, short-term memory, and general fluid intelligence: a latent variable approach. J Exp Psychol Gen. 1999;128(3):309–31.
Raitano Lee N, Maiman M, Godfrey M. What can neuropsychology teach us about intellectual disability?: searching for commonalities in the memory and executive function profiles associated with Down, Williams, and fragile X syndromes. Int Rev Res Dev Disabil. 2016;51:1–40.
Nadel L, Hardt O. Update on memory systems and processes. Neuropsychopharmacol Rev. 2011;36:251–73.
Jarrold C, Baddeley AD, Phillips CE. Verbal short-term memory in Down syndrome: a problem of memory, audition, or speech? J Speech Lang Hear Res. 2002;45(3):531–44.
Naess KA, et al. Language and verbal short-term memory skills in children with Down syndrome: a meta-analytic review. Res Dev Disabil. 2011;32(6):2225–34.
Eichenbaum HE, Cohen NJ. From conditioning to conscious recollection: memory systems of the brain. New York: Oxford University Press; 2001.
Delis, D.C., Kramer, J. H., Kaplan, E., & Ober, B. A., California verbal learning test, research edition, adult version. 1987.
Meyers J, Meyers K. The Rey complex figure and the recognition trial under four different administration procedures. Clin Neuropsychol. 1995;9:65–7.
Milojevich H, Lukowski A. Recall memory in children with Down syndrome and typically developing peers matched on developmental age. J Intellect Disabil Res. 2016;60(1):89–100.
Jarrold C, Baddeley A, Phillips C. Long-term memory for verbal and visual information in Down syndrome and Williams syndrome: performance on the Doors and People test. Cortex. 2007;43:233–47.
Carlesimo GA, Marotta L, Vicari S. Long-term memory in mental retardation: evidence for a specific impairment in subjects with Down’s syndrome. Neuropsychologia. 1997;35(1):71–9.
Nichols S, et al. Mechanisms of verbal memory impairment in four neurodevelopmental disorders. Brain Lang. 2004;88(2):180–9.
Munir F, Cornish KM, Wilding J. Nature of the working memory deficit in fragile-X syndrome. Brain Cogn. 2000;44(3):387–401.
Mattson S, RIley E. Implicit and explicit memory functioning in children with heavy prenatal alcohol exposure. J Int Neuropsychol Soc. 1999;5:462–71.
Byrne A, MacDonald J, Buckley S. Reading, language and memory skills: a comparative longitudinal study of children with Down syndrome and their mainstream peers. Br J Educ Psychol. 2002;72(Pt 4):513–29.
Heimann M, et al. Children with autism respond differently to spontaneous, elicited and deferred imitation. J Intellect Disabil Res. 2016;60(5):491–501.
Vicari S, Bellucci S, Carlesimo GA. Visual and spatial long-term memory: differential pattern of impairments in Williams and Down syndromes. Dev Med Child Neurol. 2005;47(5):305–11.
Brugge KL, et al. Cognitive impairment in adults with Down’s syndrome: similarities to early cognitive changes in Alzheimer’s disease. Neurology. 1994;44(2):232–8.
Varnhagen CK, Das JP, Varnhagen S. Auditory and visual memory span: cognitive processing by TMR individuals with Down syndrome or other etiologies. Am J Ment Defic. 1987;91(4):398–405.
Devenny DA, Silverman WP, Hill AL, Jenksin E, Sersen EA, Wisniewski KE. Normal ageing in adults with Down’s syndrome: a longitudinal study. J Intellect Disabil Res. 1996;40(3):208–21.
Alexander GE, et al. Relation of age and apolipoprotein E to cognitive function in Down syndrome adults. Neuroreport. 1997;8(8):1835–40.
Davis M, et al. Patterns of differences in wayfinding performance and correlations among abilities between persons with and without Down syndrome and typically developing children. Front Psychol. 2014;5:1446.
Lavenex PB, et al. Allocentric spatial learning and memory deficits in Down syndrome. Front Psychol. 2015;6:62.
Purser HR, et al. The development of route learning in Down syndrome, Williams syndrome and typical development: investigations with virtual environments. Dev Sci. 2015;18(4):599–613.
Simon EW, Rappaport DA, Agriesti M. Memory performance in adults with Down syndrome. Australia New Zealand J Dev Disabil. 1995;20(2):113–25.
Dulaney CL, Raz N, Devine C. Effortful and automatic processes associated with Down syndrome and nonspecific mental retardation. Am J Ment Retard. 1996;100(4):418–23.
Crayton L, et al. The neuropsychological assessment of age related cognitive deficits in adults with Down’s syndrome. J Appl Res Intellect Disabil. 1998;11(3):255–72.
Hon J, et al. The value of the Rivermead Behavioural Memory Test (Children’s version) in an epidemiological study of older adults with down syndrome. Br J Clin Psychol. 1998;37(Pt 1):15–29.
Carr J. Patterns of ageing in 30–35-year-olds with Down’s syndrome. J Appl Res Intellect Disabil. 2003;16:29–40.
Oliver C, et al. Effects of increasing task load on memory impairment in adults with Down syndrome. Am J Ment Retard. 2005;110(5):339–45.
Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale: Lawrence Erlbaum Associates; 1998.
Desgranges B, et al. The neural substrates of memory systems impairment in Alzheimer’s disease. A PET study of resting brain glucose utilization. Brain. 1998;121(Pt 4):611–31.
Wildgruber D, et al. Dynamic pattern of brain activation during sequencing of word strings evaluated by fMRI. Brain Res Cogn Brain Res. 1999;7(3):285–94.
Baldo JV, Katseff S, Dronkers NF. Brain regions underlying repetition and auditory-verbal short-term memory deficits in aphasia: evidence from voxel-based lesion symptom mapping. Aphasiology. 2012;26(3–4):338–54.
Finke C, et al. Neural correlates of short-term memory reorganization in humans with hippocampal damage. J Neurosci. 2013;33(27):11061–9.
Gathercole SE. Cognitive approaches to the development of short-term memory. Trends Cogn Sci. 1999;3(11):410–9.
Wechsler D. Wechsler Intelligence Scale for Children. 4th ed; 2003.
Valencia-Naranjo N, Robles-Bello MA. Learning potential and cognitive abilities in preschool boys with fragile X and Down syndrome. Res Dev Disabil. 2017;60:153–61.
Marcell MM, Weeks SL. Short-term memory difficulties and Down’s syndrome. J Ment Defic Res. 1988;32(Pt 2):153–62.
Næss KB, Lervåg A, Lyster SH, Hulme C. Longitudinal relationships between language and verbal short-term memory skills in children with Down syndrome. J Exp Child Psychol. 2015;135:43–55.
Mackenzie S, Hulme C. Memory span development in Down’s syndrome severely subnormal and normal subjects. In: Cognitive neuropsychology; 1987. p. 303–19.
Frenkel S, Bourdin B. Verbal, visual, and saptio-sequential short-term memory: assessment of the storage capacities of children and teenagers with Down’s syndrome. J Intellect Disabil Res. 2009;53(2):152–60.
Bower A, Hayes A. Short-term memory deficits and Down’s syndrome: a comparative study. Down Syn Res Pract. 1994;2:47–50.
Wang P, Bellugi U. Evidence from two genetic syndromes for a dissociation between verbal and visual-spatial short-term memory. J Clin Exp Neuropsychol. 1994;16(2):317–22.
Costanzo F, et al. Executive functions in intellectual disabilities: a comparison between Williams syndrome and Down syndrome. Res Dev Disabil. 2013;34(5):1770–80.
Danielsson H, et al. Developmental delays in phonological recoding among children and adolescents with Down syndrome and Williams syndrome. Res Dev Disabil. 2016;55:64–76.
Carney DJ, Henry LA, Messer DJ, Danielsson H, Brown JH, Rönnberg J. Using developmental trajectories to examine verbal and visuospatial short-term memory development in children and adolescents with Williams and Down syndromes. Res Dev Disabil. 2013;34(10):3421–32.
Lanfranchi S, et al. Memory coding in individuals with Down syndrome. Child Neuropsychol. 2014;20(6):700–12.
Carretti B, Lanfranchi S, Mammarella IC. Spatial-simultaneous and spatial-sequential working memory in individuals with Down syndrome: the effect of configuration. Res Dev Disabil. 2013;34(1):669–75.
Cornish KM, Munir F, Cross G. Spatial cognition in males with fragile-X syndrome: evidence for a neuropsychological phenotype. Cortex. 1999;35(2):263–71.
Vicari S, et al. Neuropsychological profile of Italians with Williams syndrome: an example of a dissociation between language and cognition? J Int Neuropsychol Soc. 2004;10(6):862–76.
Kogan CS, et al. A comparative neuropsychological test battery differentiates cognitive signatures of fragile X and Down syndrome. J Intellect Disabil Res. 2009;53(2):125–42.
Lee NR, Pennington BF, Keenan JM. Verbal short-term memory deficits in down syndrome: phonological, semantic, or both? Neurodevelopmental Dis. 2010;2(1):9–25.
Brock J, Jarrold C. Language influences on verbal short-term memory performance in Down syndrome: item and order recognition. J Speech Lang Hear Res. 2004;47(6):1334–46.
Purser HR, Jarrold C. Poor phonemic discrimination does not underlie poor verbal short-term memory in Down syndrome. J Exp Child Psychol. 2013;115(1):1–15.
Smith E, Jarrold C. Demonstrating the effects of phonological similarity and frequency on item and order memory in Down syndrome using process dissociation. J Exp Child Psychol. 2014;128:69–87.
Kittler P, Krinsky-McHale SJ, Devenny DA. Verbal intrusions precede memory decline in adults with Down syndrome. J Intellect Disabil Res. 2006;50(Pt 1):1–10.
Kittler PM, Krinsky-McHale SJ, Devenny DA. Dual-task processing as a measure of executive function: a comparison between adults with Williams and Down syndromes. Am J Ment Retard. 2008;113(2):117–32.
Stavroussi P, Andreou G, Karagiannopoulou D. Verbal fluency and verbal short-term memory in adults with Down syndrome and unspecified intellectual disability. Int J Disabil Dev Educ. 2016;63(1):122–39.
Reid D, et al. Executive functioning in Cornelia de Lange syndrome: domain asynchrony and age-related performance. J Neurodev Disord. 2017;9:29.
Marcell MM, Armstrong V. Auditory and visual sequential memory of Down syndrome and nonretarded children. Am J Ment Defic. 1982;87(1):86–95.
Purser HM, Jarrold C. Impaired verbal short-term memory in Down syndrome reflects a capacity limitation rather than atypically rapid forgetting. J Exp Child Psychol. 2005;91:1–23.
Belacchi C, et al. Approximate additions and working memory in individuals with Down syndrome. Res Dev Disabil. 2014;35(5):1027–35.
Huang IN, Borter SJ. The color isolation effect in free recall by adults with Down syndrome. Am J Ment Defic. 1987;92(1):115–8.
Moscovitch M. Memory and working-with-memory: a component process model based on modules and central systems. J Cogn Neurosci. 1992;4(3):257–67.
Alloway TP, Copello E. Working memory: the what, the why, and the how. Aust Educ Dev Psychol. 2013;30(2):105–18.
Conway AA, Cowan N, Bunting MF, Therriault DJ, Minkoff SB. A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence. Intelligence. 2002;30(2):163–84.
Wager TD, Smith EE. Neuroimaging studies of working memory: a meta-analysis. Cogn Affect Behav Neurosci. 2003;3(4):255–74.
Borella E, Carretti B, Lanfranchi S. Inhibitory mechanisms in Down syndrome: is there a specific or general deficit? Res Dev Disabil. 2013;34(1):65–71.
Lanfranchi S, Cornoldi C, Vianello R. Verbal and visuospatial working memory deficits in children with Down syndrome. Am J Ment Retard. 2004;109(6):456–66.
Lanfranchi S, et al. Executive function in adolescents with Down syndrome. J Intellect Disabil Res. 2010;54(4):308–19.
Lanfranchi S, Jerman O, Vianello R. Working memory and cognitive skills in individuals with Down syndrome. Child Neuropsychol. 2009;15(4):397–416.
Vicari S, Carlesimo A, Caltagirone C. Short-term memory in persons with intellectual disabilities and Down’s syndrome. J Intellect Disabil Res. 1995;39(Pt 6):532–7.
Lanfranchi S, et al. Working memory in Down syndrome: is there a dual task deficit? J Intellect Disabil Res. 2012;56(2):157–66.
Visu-Petra L, et al. Visual-spatial processing in children and adolescents with Down’s syndrome: a computerized assessment of memory skills. J Intellect Disabil Res. 2007;51(Pt 12):942–52.
Trezise K, Reeve RA. Working memory, worry, and algebraic ability. J Exp Child Psychol. 2014;121:120–36.
Roch M, Florit E, Levorato MC. The advantage of reading over listening text comprehension in Down syndrome: what is the role of verbal memory? Res Dev Disabil. 2012;33(3):890–9.
Numminen H, et al. Working memory and everyday cognition in adults with Down’s syndrome. J Intellect Disabil Res. 2001;45(Pt 2):157–68.
Adams D, Oliver C. The relationship between acquired impairments of executive function and behaviour change in adults with Down syndrome. J Intellect Disabil Res. 2010;54(5):393–405.
Ball SL, et al. Executive dysfunction and its association with personality and behaviour changes in the development of Alzheimer’s disease in adults with Down syndrome and mild to moderate learning disabilities. Br J Clin Psychol. 2008;47(Pt 1):1–29.
Ball SL, et al. Theoretical exploration of the neural bases of behavioural disinhibition, apathy and executive dysfunction in preclinical Alzheimer’s disease in people with Down’s syndrome: potential involvement of multiple frontal-subcortical neuronal circuits. J Intellect Disabil Res. 2010;54(4):320–36.
Eadie PA, et al. Profiles of grammatical morphology and sentence imitation in children with specific language impairment and Down syndrome. J Speech Lang Hear Res. 2002;45(4):720–32.
Carducci F, et al. Whole-brain voxel-based morphometry study of children and adolescents with Down syndrome. Funct Neurol. 2013;28(1):19–28.
Pinter JD, et al. Neuroanatomy of Down’s syndrome: a high-resolution MRI study. Am J Psychiatry. 2001;158(10):1659–65.
Pearlson GD, et al. MRI brain changes in subjects with Down syndrome with and without dementia. Dev Med Child Neurol. 1998;40(5):326–34.
Vega JN, et al. Resting-state functional connectivity in individuals with Down syndrome and Williams syndrome compared with typically developing controls. Brain Connect. 2015;5(8):461–75.
Muller NG, Knight RT. The functional neuroanatomy of working memory: contributions of human brain lesion studies. Neuroscience. 2006;139(1):51–8.
Rottschy C, et al. Modelling neural correlates of working memory: a coordinate-based meta-analysis. NeuroImage. 2012;60(1):830–46.
Menghini D, Costanzo F, Vicari S. Relationship between brain and cognitive processes in Down syndrome. Behav Genet. 2011;41(3):381–93.
Raz N, et al. Selective neuroanatomic abnormalities in Down’s syndrome and their cognitive correlates: evidence from MRI morphometry. Neurology. 1995;45(2):356–66.
White NS, Alkire MT, Haier RJ. A voxel-based morphometric study of nondemented adults with Down syndrome. NeuroImage. 2003;20(1):393–403.
Lee NR, et al. Dissociations in cortical morphometry in youth with Down syndrome: evidence for reduced surface area but increased thickness. Cereb Cortex. 2016;26(7):2982–90.
Anderson JS, et al. Abnormal brain synchrony in Down syndrome. Neuroimage Clin. 2013;2:703–15.
Mullins D, et al. Dementia in Down’s syndrome: an MRI comparison with Alzheimer’s disease in the general population. J Neurodev Disord. 2013;5(1):19.
Beacher F, et al. Brain anatomy and ageing in non-demented adults with Down’s syndrome: an in vivo MRI study. Psychol Med. 2010;40(4):611–9.
Krasuski JS, et al. Relation of medial temporal lobe volumes to age and memory function in nondemented adults with Down’s syndrome: implications for the prodromal phase of Alzheimer’s disease. Am J Psychiatry. 2002;159(1):74–81.
Lanfranchi S, et al. A specific deficit in visuospatial simultaneous working memory in Down syndrome. J Intellect Disabil Res. 2009;53(5):474–83.
Clark CAC, et al. The medial temporal memory system in Down syndrome: translating animal models of hippocampal compromise. Hippocampus. 2017;27(6):683–91.
van Duijn G, et al. The development of adaptive skills in young people with Down syndrome. J Intellect Disabil Res. 2010;54(11):943–54.
Hawkins BA, et al. Adaptive behavior and cognitive function of adults with Down syndrome: modeling change with age. Ment Retard. 2003;41(1):7–28.
Conners FA, et al. Improving memory span in children with Down syndrome. J Intellect Disabil Res. 2008;52(Pt 3):244–55.
Laws G. Working memory in children and adolescents with Down syndrome: evidence from a colour memory experiment. J Child Psychol Psychiatry. 2002;43(3):353–64.
Bennett SJ, Holmes J, Buckley S. Computerized memory training leads to sustained improvement in visuospatial short-term memory skills in children with down syndrome. Am J Intellect Dev Disabil. 2013;118(3):179–92.
Pulina F, et al. Improving spatial-simultaneous working memory in Down syndrome: effect of a training program led by parents instead of an expert. Front Psychol. 2015;6:1265.
Stagni F, et al. Timing of therapies for Down syndrome: the sooner, the better. Front Behav Neurosci. 2015;9:265.
Ellis JM, et al. Supplementation with antioxidants and folinic acid for children with Down’s syndrome: randomised controlled trial. BMJ. 2008;336(7644):594–7.
Lott IT, et al. Down syndrome and dementia: a randomized, controlled trial of antioxidant supplementation. Am J Med Genet A. 2011;155A(8):1939–48.
Kishnani PS, et al. The efficacy, safety, and tolerability of donepezil for the treatment of young adults with Down syndrome. Am J Med Genet A. 2009;149A(8):1641–54.
de la Torre R, et al. Safety and efficacy of cognitive training plus epigallocatechin-3-gallate in young adults with Down’s syndrome (TESDAD): a double-blind, randomised, placebo-controlled, phase 2 trial. Lancet Neurol. 2016;15(8):801–10.
Boada R, et al. Antagonism of NMDA receptors as a potential treatment for Down syndrome: a pilot randomized controlled trial. Transl Psychiatry. 2012;2:e141.
Hanney M, et al. Memantine for dementia in adults older than 40 years with Down’s syndrome (MEADOWS): a randomised, double-blind, placebo-controlled trial. Lancet. 2012;379(9815):528–36.
Dawson G, et al. Brief report: recognition memory and stimulus-reward associations: indirect support for the role of ventromedial prefrontal dysfunction in autism. J Autism Dev Disord. 2001;31(3):337–41.
Bird EK, Chapman RS, Schwartz SE. Fast mapping of words and story recall by individuals with Down syndrome. J Speech Lang Hear Res. 2004;47(6):1286–300.
Dalton AJ, Crapper DR, Schlotterer GR. Alzheimer’s disease in Down’s syndrome: visual retention deficits. Cortex. 1974;10(4):366–77.
Ellis NR, Woodley-Zanthos P, Dulaney CL. Memory for spatial location in children, adults, and mentally retarded persons. Am J Ment Retard. 1989;93(5):521–6.
Devenny DA, et al. Ageing in higher functioning adults with Down’s syndrome: an interim report in a longitudinal study. J Intellect Disabil Res. 1992;36(Pt 3):241–50.
Krinsky-McHale SJ, et al. Repetition priming in adults with Williams syndrome: age-related dissociation between implicit and explicit memory. Am J Ment Retard. 2005;110(6):482–96.
Haxby JV. Neuropsychological evaluation of adults with Down’s syndrome: patterns of selective impairment in non-demented old adults. J Ment Defic Res. 1989;33(Pt 3):193–210.
Dalton A, et al. Cognitive changes in memory precede those in praxis in aging persons with Down syndrome. J Intellect Develop Disabil. 1999;24(2):169–87.
Devenny DA, et al. Cued recall in early-stage dementia in adults with Down’s syndrome. J Intellect Disabil Res. 2002;46(Pt 6):472–83.
Dodd B. Recognition and reproduction of words by Down’s syndrome and non-Down’s syndrome retarded children. Am J Ment Defic. 1975;80(3):306–11.
McDade ML, Adler S. Down syndrome and short-term memory impairment: a storage or retrieval deficit? Am J Ment Defic. 1980;84(6):561–7.
Stratford B, Metcalfe JA. Recognition, reproduction, and recall in children with Down’s syndrome. Aust New Zealand J Dev Disabil. 1982;8(3):125–32.
Snart F, O'Grady M, Das JP. Cognitive processing by subgroups of moderately mentally retarded children. Am J Ment Defic. 1982;86(5):465–72.
Marcell MM, Harvey CF, Cothran LP. An attempt to improve auditory short-term memory in Down’s syndrome individuals through reducing distractions. Res Dev Disabil. 1988;9(4):405–17.
Kay-Raining E, Chapman R. Sequential recall in individuals with Down syndrome. J Speech Hearing Res. 1994;37(6):1369–80.
Kanno K, Ikeda Y. Word-length effect in verbal short-term memory in individuals with Down’s syndrome. J Intellect Disabil Res. 2002;46(Pt 8):613–8.
Fidler DJ, Most DE, Guiberson MM. Neuropsychological correlates of word identification in Down syndrome. Res Dev Disabil. 2005;26(5):487–501.
Seung HK, Chapman R. Sentence memory of individuals with Down’s syndrome and typically developing children. J Intellect Disabil Res. 2004;48(Pt 2):160–71.
Brock J, Jarrold C. Serial order reconstruction in Down syndrome: evidence for a selective deficit in verbal short-term memory. J Child Psychol Psychiatry. 2005;46(3):304–16.
Cairns P, Jarrold C. Exploring the correlates of impaired non-word repetition in Down syndrome. Br J Dev Psychol. 2005;23:401–16.
Hick RF, Botting N, Conti-Ramsden G. Short-term memory and vocabulary development in children with Down syndrome and children with specific language impairment. Dev Med Child Neurol. 2005;47(8):532–8.
Vicari S, Bellucci S, Carlesimo GA. Evidence from two genetic syndromes for the independence of spatial and visual working memory. Dev Med Child Neurol. 2006;48(2):126–31.
Keller-Bell Y, Fox RA. A preliminary study of speech discrimination in youth with Down syndrome. Clin Linguist Phon. 2007;21(4):305–17.
Cardoso-Martins C, et al. Component reading in Down syndrome. Read Writ. 2009;22:277–92.
Abdelhameed H, Porter J. Verbal short-term memory performance in pupiles with Down syndrome. Int J Disabil Dev Educ. 2010;57(4):427–38.
Carretti B, Lanfranchi S. The effect of configuration on VSWM performance of Down syndrome individuals. J Intellect Disabil Res. 2010;54(12):1058–66.
Duarte CP, et al. Visuospatial support for verbal short-term memory in individuals with Down syndrome. Res Dev Disabil. 2011;32(5):1918–23.
Lanfranchi S, Mammarella IC, Carretti B. Spatial-simultaneous working memory and selective interference in Down syndrome. Child Neuropsychol. 2015;21(4):481–9.
Loveall SJ, et al. Receptive vocabulary analysis in Down syndrome. Res Dev Disabil. 2016;55:161–72.
Thase ME, et al. Age-related neuropsychological deficits in Down’s syndrome. Biol Psychiatry. 1984;19(4):571–85.
Marcell MM, Cohen S. Hearing abilities of Down syndrome and other mentally handicapped adolescents. Res Dev Disabil. 1992;13(6):533–51.
Marcell MM, et al. Sentence imitation by adolescents and young adults with Down’s syndrome and other intellectual disabilities. J Intellect Disabil. 1995;39(3):215–32.
Natsopoulos C, et al. Structure and coherence of reasoning ability in down syndrome adults and typically developing children. Res Dev Disabil. 2002;23:297–307.
Kittler P, Krinsky-McHale SJ, Devenny DA. Semantic and phonological loop effects on verbal working memory in middle-age adults with mental retardation. Am J Ment Retard. 2004;109(6):467–80.
Jarrold C, Thorn AS, Stephens E. The relationships among verbal short-term memory, phonological awareness, and new word learning: evidence from typical development and Down syndrome. J Exp Child Psychol. 2009;102(2):196–218.
Mosse EK, Jarrold C. Evidence for preserved novel word learning in Down syndrome suggests multiple routes to vocabulary acquisition. J Speech Lang Hear Res. 2011;54(4):1137–52.
Michael SE, Ratner NB, Newman R. Verb comprehension and use in children and adults with Down syndrome. J Speech Lang Hear Res. 2012;55(6):1736–49.
Nash H, Heath J. The role of vocabulary, working memory and inference making ability in reading comprehension in Down syndrome. Res Dev Disabil. 2011;32(5):1782–91.
Availability of data and materials
Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Godfrey, M., Lee, N.R. Memory profiles in Down syndrome across development: a review of memory abilities through the lifespan. J Neurodevelop Disord 10, 5 (2018). https://doi.org/10.1186/s11689-017-9220-y
- Intellectual disability
- Developmental trajectory