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Structural and Functional Brain Networks: From Connections to Cognition

Authors
 Hae-Jeong Park  ;  Karl Friston 
Citation
 Science, Vol.342(6158) : 1-8, 2013 
Journal Title
 Science 
ISSN
 0036-8075 
Issue Date
2013
MeSH
Brain/physiology* ; Brain/ultrastructure* ; Cognition/physiology* ; Humans ; Models, Neurological* ; Nerve Net/physiology* ; Nerve Net/ultrastructure*
Keywords
Brain/physiology* ; Brain/ultrastructure* ; Cognition/physiology* ; Humans ; Models, Neurological* ; Nerve Net/physiology* ; Nerve Net/ultrastructure*
Abstract
How rich functionality emerges from the invariant structural architecture of the brain remains a major mystery in neuroscience. Recent applications of network theory and theoretical neuroscience to large-scale brain networks have started to dissolve this mystery. Network analyses suggest that hierarchical modular brain networks are particularly suited to facilitate local (segregated) neuronal operations and the global integration of segregated functions. Although functional networks are constrained by structural connections, context-sensitive integration during cognition tasks necessarily entails a divergence between structural and functional networks. This degenerate (many-to-one) function-structure mapping is crucial for understanding the nature of brain networks. The emergence of dynamic functional networks from static structural connections calls for a formal (computational) approach to neuronal information processing that may resolve this dialectic between structure and function.
Full Text
http://www.sciencemag.org/content/342/6158/1238411.long
DOI
10.1126/science.1238411
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
Yonsei Authors
Park, Hae Jeong(박해정) ORCID logo https://orcid.org/0000-0002-4633-0756
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/88987
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