Erratum to: Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis
© The Author(s). 2017
Received: 16 June 2017
Accepted: 19 June 2017
Published: 17 July 2017
The original article was published in Journal of Neurodevelopmental Disorders 2017 9:17
More information on the errors:
Reported channel/Actual channel
For analysis, we averaged all data by region (i.e. O1 and O2 = occipital). Therefore only the three channels noted above with an asterisk were loaded in a way that impacted data analysis. This error affected a subset of neurotypical data presented in Fig. 3, Fig. 4, Fig. 5, and Additional file 3: Figure S3. We have corrected these figures, re-run all statistical tests, and corrected p values as detailed below.
In Table 1 the wakeful EEG length of 18.2 ± 2.3 min for children with Angelman syndrome should be replaced by 15.1 ± 2.3 min.
In the subsection “Children with Angelman syndrome exhibit enhanced delta power and dynamics” the last sentence should read: “As some antiepileptic medications are known to cause EEG slowing , we confirmed that the two children with AS not taking medication displayed elevated delta power (awake occipital relative delta power in NT, 18.2 ± 0.7%, in AS 37.9 ± 1.6%; in child 1, age 4, 49.5%; in child 2, age 5, 53.1%.”
In the first paragraph of the subsection “Delta power in Angelman syndrome is age-dependent” p = 0.0011 should read p = 0.0003, p = 0.041 should read p = 0.044, p = 0.0801 should read p = 0.2862, p = 0.069 should read p = 0.052, and p =0.769 should read p = 0.962.
In the second paragraph of the same subsection, p = 0.0003 should read p = 0.0009, p =0.458 should read p = 0.356, p = 0.658 should read p =0.775, p = 0.259 should read p =0.188, and p =0.645 should read p = 0.894.
In the figure legend for Fig. 5, p = 0.0002 should read p < 0.0001, and p = 0.0007 should read p < 0.0001.
The second error was in reading files containing sleep/wake annotations. These files contained time stamps followed by a code indicating “sleep”, “wake”, or “drowsy/unsure”. All sleep data were loaded correctly and were not affected by this error. The error occurred in a subset of wake data. A subset of EEGs that we reported as “awake” also included short periods of “drowsy/unsure.” Correcting this error resulted in tiny adjustments to the values of delta and the power spectra reported. These adjustments may not be visible beyond perhaps a “jitter” of a few AS data points in Fig. 5a–d. A smaller subset (3) of EEGs that we reported as “awake” did include periods of defined sleep, and this has now been corrected.
The corrected figures are as follows:
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Sidorov MS, Deck GM, Dolatshahi M, Thibert RL, Bird LM, Cui CJ, Philpot BD. Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis. Journal of Neurodevelopmental Disorders. 2017;9:17. doi:https://doi.org/10.1186/s11689-017-9195-8.View ArticlePubMedPubMed CentralGoogle Scholar