Oscillatory mechanisms of intrinsic human brain networks

Youjing Luo; Xianghong Meng; Guangyu Zhou; Jiali Zhou; Yue-jia Luo; Hui Ai; Christina Zelano; Fuyong Chen; Pengfei Xu

NeuroImage (Sep 2024)

Oscillatory mechanisms of intrinsic human brain networks

Youjing Luo,
Xianghong Meng,
Guangyu Zhou,
Jiali Zhou,
Yue-jia Luo,
Hui Ai,
Christina Zelano,
Fuyong Chen,
Pengfei Xu

Affiliations

Youjing Luo: Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (BNU), Faculty of Psychology, Beijing Normal University, Beijing, China
Xianghong Meng: Epilepsy Center and Neurosurgery Department, Shenzhen General Hospital, Shenzhen University, Shenzhen, China
Guangyu Zhou: Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
Jiali Zhou: Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (BNU), Faculty of Psychology, Beijing Normal University, Beijing, China
Yue-jia Luo: Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (BNU), Faculty of Psychology, Beijing Normal University, Beijing, China; Epilepsy Center and Neurosurgery Department, Shenzhen General Hospital, Shenzhen University, Shenzhen, China; Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Institute of Applied Psychology, Tianjin University, Tianjin, China; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; Department of Neurosurgery, Neuromedicine Center, The University of Hong Kong- Shenzhen Hospital, Shenzhen, China; Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China; Department of Psychology, New York University, New York, NY, USA; Institute for Neuropsychological Rehabilitation, University of Health and Rehabilitation Sciences, Qingdao, China; Shenzhen Key Laboratory of Affective and Social Neuroscience, Magnetic Resonance Imaging, Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China
Hui Ai: Institute of Applied Psychology, Tianjin University, Tianjin, China; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
Christina Zelano: Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
Fuyong Chen: Department of Neurosurgery, Neuromedicine Center, The University of Hong Kong- Shenzhen Hospital, Shenzhen, China; Co-corresponding author at: The Department of Neurosurgery, Neuromedicine Center, The University of Hong Kong- Shenzhen Hospital, No. 1, Haiyuan 1st Road, Shenzhen, China.
Pengfei Xu: Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (BNU), Faculty of Psychology, Beijing Normal University, Beijing, China; Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China; Corresponding author at: Faculty of Psychology, Beijing Normal University, No.19, Xinjiekouwai St, Haidian District, Beijing, 100875, China.

Journal volume & issue: Vol. 298
p. 120773

Abstract

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Non-invasive neuroimaging has revealed specific network-based resting-state dynamics in the human brain, yet the underlying neurophysiological mechanism remains unclear. We employed intracranial electroencephalography to characterize local field potentials within the default mode network (DMN), frontoparietal network (FPN), and salience network (SN) in 42 participants. We identified stronger within-network phase coherence at low frequencies (θ and α band) within the DMN, and at high frequencies (γ band) within the FPN. Hidden Markov modeling indicated that the DMN exhibited preferential low frequency phase coupling. Phase-amplitude coupling (PAC) analysis revealed that the low-frequency phase in the DMN modulated the high-frequency amplitude envelopes of the FPN, suggesting frequency-dependent characterizations of intrinsic brain networks at rest. These findings provide intracranial electrophysiological evidence in support of the network model for intrinsic organization of human brain and shed light on the way brain networks communicate at rest.

Published in NeuroImage

ISSN: 1053-8119 (Print); 1095-9572 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: https://www.journals.elsevier.com/neuroimage

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