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Hierarchical organization unveiled by functional connectivity in complex brain networks

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Hierarchical organization unveiled by functional connectivity in complex brain networks. / Zhou, Changsong; Zemanová, Lucia; Zamora, Gorka; Hilgetag, Claus C; Kurths, Jürgen.

In: PHYS REV LETT, Vol. 97, No. 23, 08.12.2006, p. 238103.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Zhou, C, Zemanová, L, Zamora, G, Hilgetag, CC & Kurths, J 2006, 'Hierarchical organization unveiled by functional connectivity in complex brain networks', PHYS REV LETT, vol. 97, no. 23, pp. 238103. https://doi.org/10.1103/PhysRevLett.97.238103

APA

Zhou, C., Zemanová, L., Zamora, G., Hilgetag, C. C., & Kurths, J. (2006). Hierarchical organization unveiled by functional connectivity in complex brain networks. PHYS REV LETT, 97(23), 238103. https://doi.org/10.1103/PhysRevLett.97.238103

Vancouver

Zhou C, Zemanová L, Zamora G, Hilgetag CC, Kurths J. Hierarchical organization unveiled by functional connectivity in complex brain networks. PHYS REV LETT. 2006 Dec 8;97(23):238103. https://doi.org/10.1103/PhysRevLett.97.238103

Bibtex

@article{cb189c5cb5404c82b7622d7c979d1360,
title = "Hierarchical organization unveiled by functional connectivity in complex brain networks",
abstract = "How do diverse dynamical patterns arise from the topology of complex networks? We study synchronization dynamics in the cortical brain network of the cat, which displays a hierarchically clustered organization, by modeling each node (cortical area) with a subnetwork of interacting excitable neurons. We find that in the biologically plausible regime the dynamics exhibits a hierarchical modular organization, in particular, revealing functional clusters coinciding with the anatomical communities at different scales. Our results provide insights into the relationship between network topology and functional organization of complex brain networks.",
keywords = "Animals, Cats, Cerebral Cortex, Computer Simulation, Models, Neurological, Nerve Net, Neurons, Journal Article, Research Support, Non-U.S. Gov't",
author = "Changsong Zhou and Lucia Zemanov{\'a} and Gorka Zamora and Hilgetag, {Claus C} and J{\"u}rgen Kurths",
year = "2006",
month = dec,
day = "8",
doi = "10.1103/PhysRevLett.97.238103",
language = "English",
volume = "97",
pages = "238103",
journal = "PHYS REV LETT",
issn = "0031-9007",
publisher = "American Physical Society",
number = "23",

}

RIS

TY - JOUR

T1 - Hierarchical organization unveiled by functional connectivity in complex brain networks

AU - Zhou, Changsong

AU - Zemanová, Lucia

AU - Zamora, Gorka

AU - Hilgetag, Claus C

AU - Kurths, Jürgen

PY - 2006/12/8

Y1 - 2006/12/8

N2 - How do diverse dynamical patterns arise from the topology of complex networks? We study synchronization dynamics in the cortical brain network of the cat, which displays a hierarchically clustered organization, by modeling each node (cortical area) with a subnetwork of interacting excitable neurons. We find that in the biologically plausible regime the dynamics exhibits a hierarchical modular organization, in particular, revealing functional clusters coinciding with the anatomical communities at different scales. Our results provide insights into the relationship between network topology and functional organization of complex brain networks.

AB - How do diverse dynamical patterns arise from the topology of complex networks? We study synchronization dynamics in the cortical brain network of the cat, which displays a hierarchically clustered organization, by modeling each node (cortical area) with a subnetwork of interacting excitable neurons. We find that in the biologically plausible regime the dynamics exhibits a hierarchical modular organization, in particular, revealing functional clusters coinciding with the anatomical communities at different scales. Our results provide insights into the relationship between network topology and functional organization of complex brain networks.

KW - Animals

KW - Cats

KW - Cerebral Cortex

KW - Computer Simulation

KW - Models, Neurological

KW - Nerve Net

KW - Neurons

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

U2 - 10.1103/PhysRevLett.97.238103

DO - 10.1103/PhysRevLett.97.238103

M3 - SCORING: Journal article

C2 - 17280251

VL - 97

SP - 238103

JO - PHYS REV LETT

JF - PHYS REV LETT

SN - 0031-9007

IS - 23

ER -