Back

Sleep-Related Respiratory Disruption is Associated with Altered Spindle Morphology and Poorer Attention in Children

Haber, I.; Taporoski, T.; Peterson, B.; Matthews, C.; Kille, T.; Myers, A.; Riedner, B.; Strainis, E.; Vascan, A. M.; Jones, S.

2026-07-10 neuroscience
10.64898/2026.07.06.736760 bioRxiv
Show abstract

Study Objectives. To determine whether sleep-related respiratory disruption is associated with regionally specific alterations in sleep spindle topography and whether hypopnea-sensitive spindle features are associated with attentional performance in children. Methods. We recorded overnight high-density EEG in children across a wide range of respiratory disruption severity. Slow and fast spindle metrics were extracted per channel, and channel-wise regression models characterized topographic associations with hypopnea index (HI). Cluster-based permutation testing controlled for multiple comparisons. Hierarchically defined regions of interest were tested as predictors of attentional performance on the Test of Variables of Attention (TOVA). Results. Canonical slow-anterior and fast-posterior spindle organization was detectable across the cohort. Two HI-related topographic effects survived cluster-based permutation correction: higher HI was associated with shortened anterior fast spindle duration and with slower anterior slow spindle peak frequency. In cognitive models, anterior fast spindle duration was the strongest and most consistent predictor of attentional performance, associated with higher signal detection sensitivity, fewer omission errors, and fewer commission errors. By contrast, slow spindle peak frequency showed no attentional associations. Conclusions. Pediatric respiratory disruption is associated with regionally specific alterations in spindle morphology rather than global spindle reduction. Shortened anterior fast spindle duration showed convergent respiratory and attentional associations, suggesting that localized spindle integrity may provide a neurophysiological marker of cognitive vulnerability in pediatric sleep-disordered breathing beyond conventional clinical respiratory metrics.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Sleep Medicine
19 papers in training set
Top 0.1%
18.9%
2
Journal of Sleep Research
36 papers in training set
Top 0.1%
12.2%
3
Sleep
58 papers in training set
Top 0.1%
12.2%
4
Clinical Neurophysiology
56 papers in training set
Top 0.1%
8.0%
50% of probability mass above
5
NeuroImage
903 papers in training set
Top 3%
5.3%
6
PLOS ONE
5266 papers in training set
Top 33%
4.1%
7
Scientific Reports
3612 papers in training set
Top 28%
3.6%
8
Communications Biology
993 papers in training set
Top 8%
2.4%
9
Annals of Clinical and Translational Neurology
34 papers in training set
Top 0.4%
1.9%
10
Developmental Cognitive Neuroscience
96 papers in training set
Top 0.6%
1.8%
11
Psychophysiology
77 papers in training set
Top 0.8%
1.5%
12
eLife
5828 papers in training set
Top 54%
1.4%
13
Cerebral Cortex
396 papers in training set
Top 4%
1.2%
14
The Journal of Neuroscience
1025 papers in training set
Top 8%
1.2%
15
Frontiers in Neuroscience
256 papers in training set
Top 4%
1.2%
16
Human Brain Mapping
329 papers in training set
Top 4%
0.9%
17
Neuroscience of Consciousness
16 papers in training set
Top 0.3%
0.9%
18
Translational Psychiatry
260 papers in training set
Top 4%
0.9%
19
Journal of Cognitive Neuroscience
135 papers in training set
Top 2%
0.9%
20
iScience
1154 papers in training set
Top 38%
0.6%
21
eneuro
439 papers in training set
Top 8%
0.6%
22
Neurobiology of Learning and Memory
40 papers in training set
Top 0.6%
0.6%
23
Journal of Neurophysiology
302 papers in training set
Top 4%
0.6%
24
Nature Communications
5641 papers in training set
Top 58%
0.6%
25
PLOS Computational Biology
1863 papers in training set
Top 21%
0.6%