Correlations between sleep disturbance and brain cortical morphometry in healthy children
Abstract Background While the importance of adequate sleep duration to normal brain development is well known, more studies are needed to characterize how undiagnosed sleep disturbance other than suboptimal sleep duration may impact brain development. In this study we aim to understand the relations...
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2021
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oai:doaj.org-article:5a207c36697e493f825728c741489a9b2021-11-28T12:42:03ZCorrelations between sleep disturbance and brain cortical morphometry in healthy children10.1186/s41606-021-00068-02398-2683https://doaj.org/article/5a207c36697e493f825728c741489a9b2021-11-01T00:00:00Zhttps://doi.org/10.1186/s41606-021-00068-0https://doaj.org/toc/2398-2683Abstract Background While the importance of adequate sleep duration to normal brain development is well known, more studies are needed to characterize how undiagnosed sleep disturbance other than suboptimal sleep duration may impact brain development. In this study we aim to understand the relationships between sleep disturbance measures and cortical morphometry in typically-developing children without previous diagnoses of sleep pathology. Methods Healthy 8-year-old children (30 boys, 37 girls) without clinical diagnosis of sleep disorders were prospectively recruited for brain MRI and their parents completed the Children’s Sleep Habits Questionnaire (CSHQ). Total sleep disturbance score, as well as 8 subscales including bedtime resistance, sleep onset delay, sleep duration, sleep anxiety, night waking, parasomnias, sleep disordered breathing, and daytime sleepiness were calculated, and their relationships with cortical morphometry features including cortical gray matter volume, cortical thickness, and surface area were investigated, controlled for total cortical volume and sex. Results The CSHQ total sleep disturbance score significantly correlated with cortical surface area in a cluster in the left middle temporal gyrus (P < 0.001, R = -0.54). In addition, the bedtime resistance subscale negatively correlated with cortical surface area in a cluster in the right fusiform gyrus (P < 0.001, R = -0.50). No other clusters showed significant relationships between CSHQ total score or subscales and cortical features for this cohort. Conclusion Significant relationships between sleep disturbance scores in typically-developing children without clinical diagnosis of sleep pathology and their brain cortical surface area in two temporal lobe regions were identified, suggesting that undiagnosed sleep disturbance may potentially impact brain development even in healthy children.Xiaoxu NaTing LiLinda J. Larson-PriorCaroline E. BaldwinThomas M. BadgerXiawei OuBMCarticleSleep disturbanceChildren’s Sleep Habits QuestionnaireGray matter volumeCortical surface areaCortical thicknessMedicineRENSleep Science and Practice, Vol 5, Iss 1, Pp 1-8 (2021) |
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Sleep disturbance Children’s Sleep Habits Questionnaire Gray matter volume Cortical surface area Cortical thickness Medicine R |
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Sleep disturbance Children’s Sleep Habits Questionnaire Gray matter volume Cortical surface area Cortical thickness Medicine R Xiaoxu Na Ting Li Linda J. Larson-Prior Caroline E. Baldwin Thomas M. Badger Xiawei Ou Correlations between sleep disturbance and brain cortical morphometry in healthy children |
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Abstract Background While the importance of adequate sleep duration to normal brain development is well known, more studies are needed to characterize how undiagnosed sleep disturbance other than suboptimal sleep duration may impact brain development. In this study we aim to understand the relationships between sleep disturbance measures and cortical morphometry in typically-developing children without previous diagnoses of sleep pathology. Methods Healthy 8-year-old children (30 boys, 37 girls) without clinical diagnosis of sleep disorders were prospectively recruited for brain MRI and their parents completed the Children’s Sleep Habits Questionnaire (CSHQ). Total sleep disturbance score, as well as 8 subscales including bedtime resistance, sleep onset delay, sleep duration, sleep anxiety, night waking, parasomnias, sleep disordered breathing, and daytime sleepiness were calculated, and their relationships with cortical morphometry features including cortical gray matter volume, cortical thickness, and surface area were investigated, controlled for total cortical volume and sex. Results The CSHQ total sleep disturbance score significantly correlated with cortical surface area in a cluster in the left middle temporal gyrus (P < 0.001, R = -0.54). In addition, the bedtime resistance subscale negatively correlated with cortical surface area in a cluster in the right fusiform gyrus (P < 0.001, R = -0.50). No other clusters showed significant relationships between CSHQ total score or subscales and cortical features for this cohort. Conclusion Significant relationships between sleep disturbance scores in typically-developing children without clinical diagnosis of sleep pathology and their brain cortical surface area in two temporal lobe regions were identified, suggesting that undiagnosed sleep disturbance may potentially impact brain development even in healthy children. |
format |
article |
author |
Xiaoxu Na Ting Li Linda J. Larson-Prior Caroline E. Baldwin Thomas M. Badger Xiawei Ou |
author_facet |
Xiaoxu Na Ting Li Linda J. Larson-Prior Caroline E. Baldwin Thomas M. Badger Xiawei Ou |
author_sort |
Xiaoxu Na |
title |
Correlations between sleep disturbance and brain cortical morphometry in healthy children |
title_short |
Correlations between sleep disturbance and brain cortical morphometry in healthy children |
title_full |
Correlations between sleep disturbance and brain cortical morphometry in healthy children |
title_fullStr |
Correlations between sleep disturbance and brain cortical morphometry in healthy children |
title_full_unstemmed |
Correlations between sleep disturbance and brain cortical morphometry in healthy children |
title_sort |
correlations between sleep disturbance and brain cortical morphometry in healthy children |
publisher |
BMC |
publishDate |
2021 |
url |
https://doaj.org/article/5a207c36697e493f825728c741489a9b |
work_keys_str_mv |
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