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

doi:10.1016/j.neuroimage.2024.120773

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^*

^*Corresponding author for this work

Neurology

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Article number	120773
Journal	Neuroimage
Volume	298
DOIs	https://doi.org/10.1016/j.neuroimage.2024.120773
State	Published - Sep 2024

Funding

This work was supported by the National Natural Science Foundation of China ( 32371104 and 31920103009 ), the Major Project of National Social Science Foundation ( 20&ZD153 ), Sanming Project of Medicine in Shenzhen \u201CMultidisciplinary epilepsy diagnosis and treatment team of Prof.Wang Yuping from Xuanwu Hospital Capital Medical University\u201D ( SZSM202003006 ), Stable Support Project of Shenzhen ( Project No.20231122135121001 ), and Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions ( 2023SHIBS0003 ).

Keywords

Brain networks
Intracranial EEG
Intrinsic connectivity
Phase synchronization
Resting-state

ASJC Scopus subject areas

Neurology
Cognitive Neuroscience

Access to Document

10.1016/j.neuroimage.2024.120773

Cite this

@article{a3b8443b4e4b46848782d5a668bc1b0a,

title = "Oscillatory mechanisms of intrinsic human brain networks",

abstract = "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.",

keywords = "Brain networks, Intracranial EEG, Intrinsic connectivity, Phase synchronization, Resting-state",

author = "Youjing Luo and Xianghong Meng and Guangyu Zhou and Jiali Zhou and Luo, {Yue jia} and Hui Ai and Christina Zelano and Fuyong Chen and Pengfei Xu",

note = "Publisher Copyright: {\textcopyright} 2024",

year = "2024",

month = sep,

doi = "10.1016/j.neuroimage.2024.120773",

language = "English (US)",

volume = "298",

journal = "Neuroimage",

issn = "1053-8119",

publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Oscillatory mechanisms of intrinsic human brain networks

AU - Luo, Youjing

AU - Meng, Xianghong

AU - Zhou, Guangyu

AU - Zhou, Jiali

AU - Luo, Yue jia

AU - Ai, Hui

AU - Zelano, Christina

AU - Chen, Fuyong

AU - Xu, Pengfei

PY - 2024/9

Y1 - 2024/9

N2 - 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.

AB - 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.

KW - Brain networks

KW - Intracranial EEG

KW - Intrinsic connectivity

KW - Phase synchronization

KW - Resting-state

UR - http://www.scopus.com/inward/record.url?scp=85201126850&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85201126850&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2024.120773

DO - 10.1016/j.neuroimage.2024.120773

M3 - Article

C2 - 39122058

AN - SCOPUS:85201126850

SN - 1053-8119

VL - 298

JO - Neuroimage

JF - Neuroimage

M1 - 120773

ER -

Oscillatory mechanisms of intrinsic human brain networks

Abstract

Funding

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this