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Fig. 2 | Journal of Neurodevelopmental Disorders

Fig. 2

From: Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis

Fig. 2

Delta rhythms are more dynamic in AS model mice. a, b Top: spectrograms show rhythmicity across time in single LFP sessions in representative WT and AS mice on a 129 background. Bottom: delta power is extracted from the spectrogram during each 2-s time bin for representative examples. c Distributions of delta power across a single session for representative examples used in a and b. d Group analyses reveal differences in delta distributions in both 129 and C57 strains (129: *p = 0.0005, C57: *p = 0.0198, K-S tests). Inset 1 spans (in μV2 × 103) 0–1 on the x-axis; inset 2 spans 2–8. e Quantification of within-session delta dynamics. Box plots indicate representative examples used in a and b. Interquartile range (IQR) measures the spread of the middle 50% of delta measurements within a session. Dots represent suprathreshold bins where delta > Q3 + 1.5*IQR. Group analyses reveal increased IQR in AS model mice on both 129 and C57 backgrounds (129: **p = 0.0093, C57: *p = 0.010). f Calculating IQR based on relative delta power within each 2-s bin reveals AS model mice on both 129 and C57 backgrounds have increased within-session delta dynamics (129: ***p = 0.0008, C57: *p = 0.021). g There are fewer suprathreshold delta bouts in 129 AS model mice (**p = 0.007) but not C57 AS model mice (p = 0.74) compared to WT littermates

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