Network organization of information process in young adults' brain

Shao Wei Xue; Yi Yuan Tang; Lan Hua Zhang

doi:10.1007/978-3-642-37835-5_4

Network organization of information process in young adults' brain

Shao Wei Xue
, Yi Yuan Tang
, Lan Hua Zhang

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

Abstract

In order to characterize non-random organization patterns of information process in the brain, we combine complex network analysis and resting-state functional magnetic resonance imaging to investigate brain activity derived from young adults, and then extract the tree layout and module structure of whole-brain network. These network organizations may be associated with the emergence of complex dynamics that supports the brain's moment-to-moment responses to the external world and widen understanding potentially biological mechanisms of brain function.

Original language	English (US)
Pages (from-to)	35-43
Number of pages	9
Journal	Advances in Intelligent Systems and Computing
Volume	215
DOIs	https://doi.org/10.1007/978-3-642-37835-5_4
State	Published - 2014
Externally published	Yes

Keywords

Brain networks
Hubs
Maximum spanning tree
Modularity

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

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10.1007/978-3-642-37835-5_4

Cite this

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title = "Network organization of information process in young adults' brain",

abstract = "In order to characterize non-random organization patterns of information process in the brain, we combine complex network analysis and resting-state functional magnetic resonance imaging to investigate brain activity derived from young adults, and then extract the tree layout and module structure of whole-brain network. These network organizations may be associated with the emergence of complex dynamics that supports the brain's moment-to-moment responses to the external world and widen understanding potentially biological mechanisms of brain function.",

keywords = "Brain networks, Hubs, Maximum spanning tree, Modularity",

author = "Xue, \{Shao Wei\} and Tang, \{Yi Yuan\} and Zhang, \{Lan Hua\}",

note = "Funding Information: The authors thank the Institute of Neuroinformatics staffs for assistance with data collection. This work was supported by National Natural Science Foundation of China 60971096, 2012CB518200.",

year = "2014",

doi = "10.1007/978-3-642-37835-5\_4",

language = "English (US)",

volume = "215",

pages = "35--43",

journal = "Advances in Intelligent Systems and Computing",

issn = "2194-5357",

publisher = "Springer Science + Business Media",

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TY - JOUR

T1 - Network organization of information process in young adults' brain

AU - Xue, Shao Wei

AU - Tang, Yi Yuan

AU - Zhang, Lan Hua

N1 - Funding Information: The authors thank the Institute of Neuroinformatics staffs for assistance with data collection. This work was supported by National Natural Science Foundation of China 60971096, 2012CB518200.

PY - 2014

Y1 - 2014

N2 - In order to characterize non-random organization patterns of information process in the brain, we combine complex network analysis and resting-state functional magnetic resonance imaging to investigate brain activity derived from young adults, and then extract the tree layout and module structure of whole-brain network. These network organizations may be associated with the emergence of complex dynamics that supports the brain's moment-to-moment responses to the external world and widen understanding potentially biological mechanisms of brain function.

AB - In order to characterize non-random organization patterns of information process in the brain, we combine complex network analysis and resting-state functional magnetic resonance imaging to investigate brain activity derived from young adults, and then extract the tree layout and module structure of whole-brain network. These network organizations may be associated with the emergence of complex dynamics that supports the brain's moment-to-moment responses to the external world and widen understanding potentially biological mechanisms of brain function.

KW - Brain networks

KW - Hubs

KW - Maximum spanning tree

KW - Modularity

UR - https://www.scopus.com/pages/publications/84885071852

UR - https://www.scopus.com/pages/publications/84885071852#tab=citedBy

U2 - 10.1007/978-3-642-37835-5_4

DO - 10.1007/978-3-642-37835-5_4

M3 - Article

AN - SCOPUS:84885071852

SN - 2194-5357

VL - 215

SP - 35

EP - 43

JO - Advances in Intelligent Systems and Computing

JF - Advances in Intelligent Systems and Computing

ER -

Network organization of information process in young adults' brain

Abstract

Keywords

ASJC Scopus subject areas

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