Distinct neural responses of morningness and eveningness chronotype to homeostatic sleep pressure revealed by resting‐state functional magnetic resonance imaging

Wang, Haien; Tian, Yun; Wang, Yulin; He, Qinghua; Qiu, Jiang; Feng, Tingyong; Chen, Hong; Lei, Xu

doi:10.1111/cns.13887

Cited by 12 publications

(3 citation statements)

References 50 publications

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“…The main dataset comprises individuals from the Behavioral Brain Research Project of Chinese Personality (BBP) 66 , which was launched in September 2019 (still in progress) to recruit participants from that year’s freshmen at Southwest University, Chongqing, China. In total, 1369 participants completed the cross-sectional neuroimaging protocol as well as the behavioral measures of sleep health.…”

Section: Methodsmentioning

confidence: 99%

Covariance patterns between sleep health domains and distributed intrinsic functional connectivity

Wang,

Genon,

Dong

et al. 2023

Nat Commun

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Sleep health is both conceptually and operationally a composite concept containing multiple domains of sleep. In line with this, high dependence and interaction across different domains of sleep health encourage a transition in sleep health research from categorical to dimensional approaches that integrate neuroscience and sleep health. Here, we seek to identify the covariance patterns between multiple sleep health domains and distributed intrinsic functional connectivity by applying a multivariate approach (partial least squares). This multivariate analysis reveals a composite sleep health dimension co-varying with connectivity patterns involving the attentional and thalamic networks and which appear relevant at the neuromolecular level. These findings are further replicated and generalized to several unseen independent datasets. Critically, the identified sleep-health related connectome shows diagnostic potential for insomnia disorder. These results together delineate a potential brain connectome biomarker for sleep health with high potential for clinical translation.

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Section: Methodsmentioning

confidence: 99%

Covariance patterns between sleep health domains and distributed intrinsic functional connectivity

Wang,

Genon,

Dong

et al. 2023

Nat Commun

Self Cite

View full text Add to dashboard Cite

show abstract

“…The dataset comprises individuals from the BBP 35 , which was launched from September 2019 to March 2023 to recruit participants from that year's freshmen at Southwest University (SWU), Chongqing, China.…”

Section: Samplementioning

confidence: 99%

Volume of the Dentate Gyrus/CA4 Hippocampal Subfield Mediates the Interplay between Sleep Quality and Depressive Symptoms

Wang,

Tian,

Long

et al. 2023

Preprint

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Emerging evidence increasingly suggests that poor sleep quality is associated with depressive symptoms. The hippocampus plays a crucial role in the interplay between sleep disturbance and depressive symptomatology e.g., accelerated hippocampal atrophy is typically seen in both insomnia disorder and depression. Hence, it is critical to examine the pivotal role of hippocampal volumes in modulating the interplay between poor sleep quality and depressive symptoms in large-scale healthy populations. To cover this research gap, the present study investigated the association between self-reported sleep quality, depressive symptoms, and hippocampal total and subfields’ volumes. Furthermore, we assessed the mediatory role of hippocampal volumes on the link between sleep quality and depressive symptoms in a large sample (N=1603) of young adults using mediation analysis. Sleep quality was correlated with self-report depressive symptoms. Moreover, sleep quality was found to be negatively associated with the volume of three hippocampal subfields, including dentate gyrus (DG), cornu ammonis fields (CA-3 and CA-4), but not correlated with total hippocampal volume. Interestingly, the volume of hippocampal DG and CA4 mediated the influence of poor sleep quality on depressive symptoms. Our findings improved our current understanding of the relationship between sleep disturbance, depressive symptomatology, and hippocampal subfields in the healthy populations. Considering the crucial role of DG in hippocampal neurogenesis, our results suggest that poor sleep quality may contribute to depression through a reduction of DG volume leading to impaired neurogenesis which is crucial for the regulation of mood.

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“…Discovery and replication datasets (dataset 1 and 2): The main dataset comprises individuals from the Behavioral Brain Research Project of Chinese Personality (BBP) 63 , which was launched in September 2019 (still in progress) to recruit participants from that year's freshmen at Southwest University, Chongqing, China. In total, 1369 participants completed the cross-sectional neuroimaging protocol as well as the behavioral measures of sleep health.…”

Section: Participantsmentioning

confidence: 99%

A Brain Connectome Biomarker for Sleep Health

Wang

Genon²,

Dong

et al. 2023

Preprint

View full text Add to dashboard Cite

Sleep health is both conceptually and operationally a composite concept containing multiple domains of sleep. In line with this, high dependence and interaction across different domains of sleep health encourage a transition in sleep health research from categorical to dimensional approaches that integrate neuroscience and sleep health. Here, we seek to identify the covariance patterns between multiple-sleep health domains and distributed intrinsic functional connectivity by applying a multivariate approach (partial least squares). This multivariate analysis revealed a composite sleep health dimension co-varying with connectivity patterns involving the attentional and thalamic networks and which appear relevant at the neuromolecular level. These findings were further replicated and generalized to several unseen independent datasets. Critically, the identified sleep-health related connectome showed diagnostic potential for insomnia disorder. These results together delineate a brain connectome biomarker for sleep health with high potential for clinical translation.

show abstract

Distinct neural responses of morningness and eveningness chronotype to homeostatic sleep pressure revealed by resting‐state functional magnetic resonance imaging

Cited by 12 publications

References 50 publications

Covariance patterns between sleep health domains and distributed intrinsic functional connectivity

Covariance patterns between sleep health domains and distributed intrinsic functional connectivity

Volume of the Dentate Gyrus/CA4 Hippocampal Subfield Mediates the Interplay between Sleep Quality and Depressive Symptoms

A Brain Connectome Biomarker for Sleep Health

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