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Evaluation of Node-Inhomogeneity Effects on the Functional Brain Network Properties Using an Anatomy-Constrained Hierarchical Brain Parcellation

Authors
 Bumhee Park  ;  Jeong Hoon Ko  ;  Jong Doo Lee  ;  Hae-Jeong Park 
Citation
 PLOS ONE, Vol.8(9) : e74935, 2013 
Journal Title
 PLOS ONE 
Issue Date
2013
MeSH
Adult ; Algorithms* ; Brain*/anatomy & histology ; Brain*/physiology ; Brain Mapping/methods* ; Female ; Humans ; Male ; Models, Neurological* ; Nerve Net*/anatomy & histology ; Nerve Net*/physiology
Keywords
Adult ; Algorithms* ; Brain*/anatomy & histology ; Brain*/physiology ; Brain Mapping/methods* ; Female ; Humans ; Male ; Models, Neurological* ; Nerve Net*/anatomy & histology ; Nerve Net*/physiology
Abstract
To investigate functional brain networks, many graph-theoretical studies have defined nodes in a graph using an anatomical atlas with about a hundred partitions. Although use of anatomical node definition is popular due to its convenience, functional inhomogeneity within each node may lead to bias or systematic errors in the graph analysis. The current study was aimed to show functional inhomogeneity of a node defined by an anatomical atlas and to show its effects on the graph topology. For this purpose, we compared functional connectivity defined using 138 resting state fMRI data among 90 cerebral nodes from the automated anatomical labeling (AAL), which is an anatomical atlas, and among 372 cerebral nodes defined using a functional connectivity-based atlas as a ground truth, which was obtained using anatomy-constrained hierarchical modularity optimization algorithm (AHMO) that we proposed to evaluate the graph properties for anatomically defined nodes. We found that functional inhomogeneity in the anatomical parcellation induced significant biases in estimating both functional connectivity and graph-theoretical network properties. We also found very high linearity in major global network properties and nodal strength at all brain regions between anatomical atlas and functional atlas with reasonable network-forming thresholds for graph construction. However, some nodal properties such as betweenness centrality did not show significant linearity in some regions. The current study suggests that the use of anatomical atlas may be biased due to its inhomogeneity, but may generally be used in most neuroimaging studies when a single atlas is used for analysis.
Files in This Item:
T201303494.pdf Download
DOI
10.1371/journal.pone.0074935
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
Yonsei Authors
Park, Bum Hee(박범희)
Park, Hae Jeong(박해정) ORCID logo https://orcid.org/0000-0002-4633-0756
Lee, Jong Doo(이종두)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/88111
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