Information transmission velocity-based dynamic hierarchical brain networks.

Jiang, L; Li, F; Chen, Z; Zhu, B; Yi, C; Li, Y; Zhang, T; Peng, Y; Si, Y; Cao, Z; Chen, A; Yao, D; Chen, X; Xu, P

Information transmission velocity-based dynamic hierarchical brain networks.

Jiang, L Li, F Chen, Z Zhu, B Yi, C Li, Y Zhang, T Peng, Y Si, Y Cao, Z

Chen, A Yao, D Chen, X Xu, P

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Publisher:: ACADEMIC PRESS INC ELSEVIER SCIENCE
Publication Type:: Journal Article
Citation:: Neuroimage, 2023, 270, pp. 119997
Issue Date:: 2023-04-15

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Field	Value	Language
dc.contributor.author	Jiang, L
dc.contributor.author	Li, F
dc.contributor.author	Chen, Z
dc.contributor.author	Zhu, B
dc.contributor.author	Yi, C
dc.contributor.author	Li, Y
dc.contributor.author	Zhang, T
dc.contributor.author	Peng, Y
dc.contributor.author	Si, Y
dc.contributor.author	Cao, Z https://orcid.org/0000-0003-3656-0328
dc.contributor.author	Chen, A
dc.contributor.author	Yao, D
dc.contributor.author	Chen, X
dc.contributor.author	Xu, P
dc.date.accessioned	2024-03-26T03:21:53Z
dc.date.available	2023-02-27
dc.date.available	2024-03-26T03:21:53Z
dc.date.issued	2023-04-15
dc.identifier.citation	Neuroimage, 2023, 270, pp. 119997
dc.identifier.issn	1053-8119
dc.identifier.issn	1095-9572
dc.identifier.uri	http://hdl.handle.net/10453/177163
dc.description.abstract	The brain functions as an accurate circuit that regulates information to be sequentially propagated and processed in a hierarchical manner. However, it is still unknown how the brain is hierarchically organized and how information is dynamically propagated during high-level cognition. In this study, we developed a new scheme for quantifying the information transmission velocity (ITV) by combining electroencephalogram (EEG) and diffusion tensor imaging (DTI), and then mapped the cortical ITV network (ITVN) to explore the information transmission mechanism of the human brain. The application in MRI-EEG data of P300 revealed bottom-up and top-down ITVN interactions subserving P300 generation, which was comprised of four hierarchical modules. Among these four modules, information exchange between visual- and attention-activated regions occurred at a high velocity, related cognitive processes could thus be efficiently accomplished due to the heavy myelination of these regions. Moreover, inter-individual variability in P300 was probed to be attributed to the difference in information transmission efficiency of the brain, which may provide new insight into the cognitive degenerations in clinical neurodegenerative disorders, such as Alzheimer's disease, from the transmission velocity perspective. Together, these findings confirm the capacity of ITV to effectively determine the efficiency of information propagation in the brain.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	ACADEMIC PRESS INC ELSEVIER SCIENCE
dc.relation.ispartof	Neuroimage
dc.relation.isbasedon	10.1016/j.neuroimage.2023.119997
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	11 Medical and Health Sciences, 17 Psychology and Cognitive Sciences
dc.subject.classification	Neurology & Neurosurgery
dc.subject.classification	32 Biomedical and clinical sciences
dc.subject.classification	42 Health sciences
dc.subject.mesh	Humans
dc.subject.mesh	Diffusion Tensor Imaging
dc.subject.mesh	Brain
dc.subject.mesh	Cognition
dc.subject.mesh	Electroencephalography
dc.subject.mesh	Brain Mapping
dc.subject.mesh	Brain
dc.subject.mesh	Humans
dc.subject.mesh	Electroencephalography
dc.subject.mesh	Brain Mapping
dc.subject.mesh	Cognition
dc.subject.mesh	Diffusion Tensor Imaging
dc.subject.mesh	Humans
dc.subject.mesh	Diffusion Tensor Imaging
dc.subject.mesh	Brain
dc.subject.mesh	Cognition
dc.subject.mesh	Electroencephalography
dc.subject.mesh	Brain Mapping
dc.title	Information transmission velocity-based dynamic hierarchical brain networks.
dc.type	Journal Article
utslib.citation.volume	270
utslib.location.activity	United States
utslib.for	11 Medical and Health Sciences
utslib.for	17 Psychology and Cognitive Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-26T03:21:51Z
pubs.publication-status	Published
pubs.volume	270

Abstract:

The brain functions as an accurate circuit that regulates information to be sequentially propagated and processed in a hierarchical manner. However, it is still unknown how the brain is hierarchically organized and how information is dynamically propagated during high-level cognition. In this study, we developed a new scheme for quantifying the information transmission velocity (ITV) by combining electroencephalogram (EEG) and diffusion tensor imaging (DTI), and then mapped the cortical ITV network (ITVN) to explore the information transmission mechanism of the human brain. The application in MRI-EEG data of P300 revealed bottom-up and top-down ITVN interactions subserving P300 generation, which was comprised of four hierarchical modules. Among these four modules, information exchange between visual- and attention-activated regions occurred at a high velocity, related cognitive processes could thus be efficiently accomplished due to the heavy myelination of these regions. Moreover, inter-individual variability in P300 was probed to be attributed to the difference in information transmission efficiency of the brain, which may provide new insight into the cognitive degenerations in clinical neurodegenerative disorders, such as Alzheimer's disease, from the transmission velocity perspective. Together, these findings confirm the capacity of ITV to effectively determine the efficiency of information propagation in the brain.

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http://hdl.handle.net/10453/177163