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Energy landscape analysis of the subcortical brain network unravels system properties beneath resting state dynamics

Authors
 Jiyoung Kang  ;  Chongwon Pae  ;  Hae-Jeong Park 
Citation
 NEUROIMAGE, Vol.149 : 153-164, 2017 
Journal Title
 NEUROIMAGE 
ISSN
 1053-8119 
Issue Date
2017
MeSH
Brain/metabolism* ; Brain Mapping/methods* ; Energy Metabolism/physiology* ; Humans ; Image Processing, Computer-Assisted/methods ; Magnetic Resonance Imaging/methods ; Models, Neurological* ; Neural Pathways/physiology ; Rest/physiology*
Abstract
The configuration of the human brain system at rest, which is in a transitory phase among multistable states, remains unknown. To investigate the dynamic systems properties of the human brain at rest, we constructed an energy landscape for the state dynamics of the subcortical brain network, a critical center that modulates whole brain states, using resting state fMRI. We evaluated alterations in energy landscapes following perturbation in network parameters, which revealed characteristics of the state dynamics in the subcortical brain system, such as maximal number of attractors, unequal temporal occupations, and readiness for reconfiguration of the system. Perturbation in the network parameters, even those as small as the ones in individual nodes or edges, caused a significant shift in the energy landscape of brain systems. The effect of the perturbation on the energy landscape depended on the network properties of the perturbed nodes and edges, with greater effects on hub nodes and hubs-connecting edges in the subcortical brain system. Two simultaneously perturbed nodes produced perturbation effects showing low sensitivity in the interhemispheric homologous nodes and strong dependency on the more primary node among the two. This study demonstrated that energy landscape analysis could be an important tool to investigate alterations in brain networks that may underlie certain brain diseases, or diverse brain functions that may emerge due to the reconfiguration of the default brain network at rest.
Full Text
http://www.sciencedirect.com/science/article/pii/S105381191730099X
DOI
10.1016/j.neuroimage.2017.01.075.
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/22282913/154509
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