Cortical excitability signatures for the degree of sleepiness in human

Sleep is essential in maintaining physiological homeostasis in the brain. While the underlying mechanism is not fully understood, a ‘synaptic homeostasis’ theory has been proposed that synapses continue to strengthen during awake and undergo downscaling during sleep. This theory predicts that brain...

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Autores principales:	Chin-Hsuan Chia, Xin-Wei Tang, Yue Cao, Hua-Teng Cao, Wei Zhang, Jun-Fa Wu, Yu-Lian Zhu, Ying Chen, Yi Lin, Yi Wu, Zhe Zhang, Ti-Fei Yuan, Rui-Ping Hu
Formato:	article
Lenguaje:	EN
Publicado:	eLife Sciences Publications Ltd 2021
Materias:	mixed effect model sleepiness wakefulness synaptic homeostasis transcranial magnetic stimulation Medicine R Science Q Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/18c0cb2024d0413ebb4cbaa0ec0c32fd
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spelling	oai:doaj.org-article:18c0cb2024d0413ebb4cbaa0ec0c32fd2021-11-15T07:21:58ZCortical excitability signatures for the degree of sleepiness in human10.7554/eLife.650992050-084Xe65099https://doaj.org/article/18c0cb2024d0413ebb4cbaa0ec0c32fd2021-07-01T00:00:00Zhttps://elifesciences.org/articles/65099https://doaj.org/toc/2050-084XSleep is essential in maintaining physiological homeostasis in the brain. While the underlying mechanism is not fully understood, a ‘synaptic homeostasis’ theory has been proposed that synapses continue to strengthen during awake and undergo downscaling during sleep. This theory predicts that brain excitability increases with sleepiness. Here, we collected transcranial magnetic stimulation measurements in 38 subjects in a 34 hr program and decoded the relationship between cortical excitability and self-report sleepiness using advanced statistical methods. By utilizing a combination of partial least squares regression and mixed-effect models, we identified a robust pattern of excitability changes, which can quantitatively predict the degree of sleepiness. Moreover, we found that synaptic strengthen occurred in both excitatory and inhibitory connections after sleep deprivation. In sum, our study provides supportive evidence for the synaptic homeostasis theory in human sleep and clarifies the process of synaptic strength modulation during sleepiness.Chin-Hsuan ChiaXin-Wei TangYue CaoHua-Teng CaoWei ZhangJun-Fa WuYu-Lian ZhuYing ChenYi LinYi WuZhe ZhangTi-Fei YuanRui-Ping HueLife Sciences Publications Ltdarticlemixed effect modelsleepinesswakefulnesssynaptic homeostasistranscranial magnetic stimulationMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	mixed effect model sleepiness wakefulness synaptic homeostasis transcranial magnetic stimulation Medicine R Science Q Biology (General) QH301-705.5
spellingShingle	mixed effect model sleepiness wakefulness synaptic homeostasis transcranial magnetic stimulation Medicine R Science Q Biology (General) QH301-705.5 Chin-Hsuan Chia Xin-Wei Tang Yue Cao Hua-Teng Cao Wei Zhang Jun-Fa Wu Yu-Lian Zhu Ying Chen Yi Lin Yi Wu Zhe Zhang Ti-Fei Yuan Rui-Ping Hu Cortical excitability signatures for the degree of sleepiness in human
description	Sleep is essential in maintaining physiological homeostasis in the brain. While the underlying mechanism is not fully understood, a ‘synaptic homeostasis’ theory has been proposed that synapses continue to strengthen during awake and undergo downscaling during sleep. This theory predicts that brain excitability increases with sleepiness. Here, we collected transcranial magnetic stimulation measurements in 38 subjects in a 34 hr program and decoded the relationship between cortical excitability and self-report sleepiness using advanced statistical methods. By utilizing a combination of partial least squares regression and mixed-effect models, we identified a robust pattern of excitability changes, which can quantitatively predict the degree of sleepiness. Moreover, we found that synaptic strengthen occurred in both excitatory and inhibitory connections after sleep deprivation. In sum, our study provides supportive evidence for the synaptic homeostasis theory in human sleep and clarifies the process of synaptic strength modulation during sleepiness.
format	article
author	Chin-Hsuan Chia Xin-Wei Tang Yue Cao Hua-Teng Cao Wei Zhang Jun-Fa Wu Yu-Lian Zhu Ying Chen Yi Lin Yi Wu Zhe Zhang Ti-Fei Yuan Rui-Ping Hu
author_facet	Chin-Hsuan Chia Xin-Wei Tang Yue Cao Hua-Teng Cao Wei Zhang Jun-Fa Wu Yu-Lian Zhu Ying Chen Yi Lin Yi Wu Zhe Zhang Ti-Fei Yuan Rui-Ping Hu
author_sort	Chin-Hsuan Chia
title	Cortical excitability signatures for the degree of sleepiness in human
title_short	Cortical excitability signatures for the degree of sleepiness in human
title_full	Cortical excitability signatures for the degree of sleepiness in human
title_fullStr	Cortical excitability signatures for the degree of sleepiness in human
title_full_unstemmed	Cortical excitability signatures for the degree of sleepiness in human
title_sort	cortical excitability signatures for the degree of sleepiness in human
publisher	eLife Sciences Publications Ltd
publishDate	2021
url	https://doaj.org/article/18c0cb2024d0413ebb4cbaa0ec0c32fd
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Cortical excitability signatures for the degree of sleepiness in human

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