Structure-Function Relationship in Complex Brain Networks by Multilevel Modeling

Changsong Zhou; Lucia Zemanova; Claus C. Hilgetag; J. Kurths

Structure-Function Relationship in Complex Brain Networks by Multilevel Modeling

Changsong Zhou, Lucia Zemanova, Claus C. Hilgetag, J. Kurths

Physics

Hong Kong Baptist University

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abstract

We try to illuminate the relationship between structural and functional connectivity by studying synchronization dynamics based on realistic anatomical network of cat cortical connectivity. A multilevel model is considered, where each cortical area is modeled by a subnetwork of interacting excitable neurons. We show that the model displays biologically plausible dynamics, and the synchronization patterns reveal a hierarchical cluster organization in the network structure. A group of brain areas involved into multimodal association can be identified by comparing the dynamical clusters to the topological communities of the network.

Original language	English
Title of host publication	Advances in Cognitive Neurodynamics
Subtitle of host publication	Proceedings of the International Conference on Cognitive Neurodynamics - 2007
Editors	R Wang, F Gu, E Shen
Place of Publication	Totowa
Publisher	HUMANA PRESS INC
Pages	511-514
Number of pages	4
ISBN (Print)	978-1-4020-8386-0
Publication status	Published - 2008
Event	1st International Conference on Cognitive Neurodynamics - Shanghai Duration: 17 Nov 2007 → 21 Nov 2007

Conference

Conference	1st International Conference on Cognitive Neurodynamics
City	Shanghai
Period	17/11/07 → 21/11/07

Keywords

organization
connectivity

Cite this

Structure-Function Relationship in Complex Brain Networks by Multilevel Modeling. / Zhou, Changsong; Zemanova, Lucia; Hilgetag, Claus C. et al.
Advances in Cognitive Neurodynamics: Proceedings of the International Conference on Cognitive Neurodynamics - 2007. ed. / R Wang; F Gu; E Shen. Totowa: HUMANA PRESS INC, 2008. p. 511-514.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Zhou, C, Zemanova, L, Hilgetag, CC & Kurths, J 2008, Structure-Function Relationship in Complex Brain Networks by Multilevel Modeling. in R Wang, F Gu & E Shen (eds), Advances in Cognitive Neurodynamics: Proceedings of the International Conference on Cognitive Neurodynamics - 2007. HUMANA PRESS INC, Totowa, pp. 511-514, 1st International Conference on Cognitive Neurodynamics, Shanghai, 17/11/07.

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abstract = "We try to illuminate the relationship between structural and functional connectivity by studying synchronization dynamics based on realistic anatomical network of cat cortical connectivity. A multilevel model is considered, where each cortical area is modeled by a subnetwork of interacting excitable neurons. We show that the model displays biologically plausible dynamics, and the synchronization patterns reveal a hierarchical cluster organization in the network structure. A group of brain areas involved into multimodal association can be identified by comparing the dynamical clusters to the topological communities of the network.",

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AU - Zhou, Changsong

AU - Zemanova, Lucia

AU - Hilgetag, Claus C.

AU - Kurths, J.

PY - 2008

Y1 - 2008

N2 - We try to illuminate the relationship between structural and functional connectivity by studying synchronization dynamics based on realistic anatomical network of cat cortical connectivity. A multilevel model is considered, where each cortical area is modeled by a subnetwork of interacting excitable neurons. We show that the model displays biologically plausible dynamics, and the synchronization patterns reveal a hierarchical cluster organization in the network structure. A group of brain areas involved into multimodal association can be identified by comparing the dynamical clusters to the topological communities of the network.

AB - We try to illuminate the relationship between structural and functional connectivity by studying synchronization dynamics based on realistic anatomical network of cat cortical connectivity. A multilevel model is considered, where each cortical area is modeled by a subnetwork of interacting excitable neurons. We show that the model displays biologically plausible dynamics, and the synchronization patterns reveal a hierarchical cluster organization in the network structure. A group of brain areas involved into multimodal association can be identified by comparing the dynamical clusters to the topological communities of the network.

KW - organization

KW - connectivity

M3 - Published conference contribution

SN - 978-1-4020-8386-0

SP - 511

EP - 514

BT - Advances in Cognitive Neurodynamics

A2 - Wang, R

A2 - Gu, F

A2 - Shen, E

PB - HUMANA PRESS INC

CY - Totowa

T2 - 1st International Conference on Cognitive Neurodynamics

Y2 - 17 November 2007 through 21 November 2007

ER -

Structure-Function Relationship in Complex Brain Networks by Multilevel Modeling

Abstract

Conference

Keywords

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