Paper Info
Title
High-homogeneity functional parcellation of human brain for investigating robust functional connectivity
Abstract
Over the years, resting state functional magnetic resonance imaging (rsfMRI) has been a preferred design tool to analyze human brain functions and brain parcellations. Several different statistical methods have been proposed to study functional connectivity and generate various parcellation atlases based on corresponding connectivity maps. In this study, we employ a sliding window correlation method to generate accurate individual voxel-wise dynamic functional connectivity maps, based on which the brain can be parcellated into highly homogeneous functional parcels. Because there is no ground truth for functional brain parcellation, we accomplish parcellation via k-means clustering to compare with other available parcellations. With temporal characteristics of functional connectivity taken into consideration, high homogeneity can be observed in high resolution parcellation of human brain.
Year
DOI
Venue
2018
10.1109/SSIAI.2018.8470321
2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
Keywords
Field
DocType
rsfMRI,Human brain,functional connectivity,parcellation,homogeneity
Homogeneity (statistics),Pattern recognition,Functional magnetic resonance imaging,Computer science,Homogeneous,Resting state fMRI,Human brain,Ground truth,Artificial intelligence,Cluster analysis,Dynamic functional connectivity
Conference
ISSN
ISBN
Citations 
1550-5782
978-1-5386-6569-5
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Xiangyu Liu15114.10
Hua Xie223517.15
Brian Nutter310120.24
Sunanda Mitra425445.17