Brain dynamics alterations induced by partial sleep deprivation: An energy landscape study

Partial sleep deprivation (PSD) alters neural activity of intrinsic brain networks involved in cognitive functions. However, the age-related time-varying properties of large-scale brain functional networks after PSD remain unknown. Our study applied energy landscape analysis to resting-state functio...

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Main Authors: Yutong Wu, Liming Fan, Wei Chen, Xing Su, Simeng An, Nan Yao, Qian Zhu, Zi-Gang Huang, Youjun Li
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:NeuroImage
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Online Access:http://www.sciencedirect.com/science/article/pii/S1053811925001107
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author Yutong Wu
Liming Fan
Wei Chen
Xing Su
Simeng An
Nan Yao
Qian Zhu
Zi-Gang Huang
Youjun Li
author_facet Yutong Wu
Liming Fan
Wei Chen
Xing Su
Simeng An
Nan Yao
Qian Zhu
Zi-Gang Huang
Youjun Li
author_sort Yutong Wu
collection DOAJ
description Partial sleep deprivation (PSD) alters neural activity of intrinsic brain networks involved in cognitive functions. However, the age-related time-varying properties of large-scale brain functional networks after PSD remain unknown. Our study applied energy landscape analysis to resting-state functional magnetic resonance imaging data to characterize the dominant brain activity patterns in 36 healthy young (19 females, 23.53 ± 2.36 years) and 33 healthy older (18 females, 68.81 ± 2.41 years) adults after full sleep (FS) and PSD. Dynamic properties of these patterns, including appearance probability, duration and transitions, were then calculated. Finally, a 105 steps numerical simulation was performed on each energy landscape. We found that the energy landscapes of the younger and older groups had similar hierarchical structures, including two major states and two minor states. The two major states showed complementary spontaneous activation patterns. But the PSD has altered the temporal evolution of these major brain states in younger participants, manifested by significantly higher appearance frequency of the major states and the direct transitions between major states than FS. These changes were not significant in older participants. Additionally, the weaker functional segregation between two modules assigned by two complementary major states was found during PSD than FS in young group. We further demonstrated that such abnormal brain network functional coordination was associated with the atypical brain dynamics and behaviors. These findings suggested a low-dimensional and restricted dynamic landscape of brain activity in young adults after PSD and provided new insight into understand the neural effects of PSD.
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spelling doaj-art-dd752232eb824e61bf7871ed26a2d5592025-08-20T03:17:35ZengElsevierNeuroImage1095-95722025-04-0131012110810.1016/j.neuroimage.2025.121108Brain dynamics alterations induced by partial sleep deprivation: An energy landscape studyYutong Wu0Liming Fan1Wei Chen2Xing Su3Simeng An4Nan Yao5Qian Zhu6Zi-Gang Huang7Youjun Li8Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, ChinaKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, China; First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, ChinaKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, ChinaKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, ChinaKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, ChinaDepartment of Applied Physics, Shaanxi University Key Laboratory of Photonic Power Devices and Discharge Regulation, Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi'an University of Technology, Xi'an, 710054, ChinaKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, ChinaKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China; Corresponding authors at: Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Shaanxi 710049, China.Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, 710049, China; Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China; Corresponding authors at: Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Shaanxi 710049, China.Partial sleep deprivation (PSD) alters neural activity of intrinsic brain networks involved in cognitive functions. However, the age-related time-varying properties of large-scale brain functional networks after PSD remain unknown. Our study applied energy landscape analysis to resting-state functional magnetic resonance imaging data to characterize the dominant brain activity patterns in 36 healthy young (19 females, 23.53 ± 2.36 years) and 33 healthy older (18 females, 68.81 ± 2.41 years) adults after full sleep (FS) and PSD. Dynamic properties of these patterns, including appearance probability, duration and transitions, were then calculated. Finally, a 105 steps numerical simulation was performed on each energy landscape. We found that the energy landscapes of the younger and older groups had similar hierarchical structures, including two major states and two minor states. The two major states showed complementary spontaneous activation patterns. But the PSD has altered the temporal evolution of these major brain states in younger participants, manifested by significantly higher appearance frequency of the major states and the direct transitions between major states than FS. These changes were not significant in older participants. Additionally, the weaker functional segregation between two modules assigned by two complementary major states was found during PSD than FS in young group. We further demonstrated that such abnormal brain network functional coordination was associated with the atypical brain dynamics and behaviors. These findings suggested a low-dimensional and restricted dynamic landscape of brain activity in young adults after PSD and provided new insight into understand the neural effects of PSD.http://www.sciencedirect.com/science/article/pii/S1053811925001107Partial sleep deprivationResting-state networkEnergy landscapeBrain dynamics
spellingShingle Yutong Wu
Liming Fan
Wei Chen
Xing Su
Simeng An
Nan Yao
Qian Zhu
Zi-Gang Huang
Youjun Li
Brain dynamics alterations induced by partial sleep deprivation: An energy landscape study
NeuroImage
Partial sleep deprivation
Resting-state network
Energy landscape
Brain dynamics
title Brain dynamics alterations induced by partial sleep deprivation: An energy landscape study
title_full Brain dynamics alterations induced by partial sleep deprivation: An energy landscape study
title_fullStr Brain dynamics alterations induced by partial sleep deprivation: An energy landscape study
title_full_unstemmed Brain dynamics alterations induced by partial sleep deprivation: An energy landscape study
title_short Brain dynamics alterations induced by partial sleep deprivation: An energy landscape study
title_sort brain dynamics alterations induced by partial sleep deprivation an energy landscape study
topic Partial sleep deprivation
Resting-state network
Energy landscape
Brain dynamics
url http://www.sciencedirect.com/science/article/pii/S1053811925001107
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