High-homogeneity functional parcellation of human brain for investigating robust functional connectivity

Xiangyu Liu, Hua Xie, Brian Nutter, Sunanda Mitra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-44
Number of pages4
ISBN (Electronic)9781538665688
DOIs
StatePublished - Sep 21 2018
Event2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Las Vegas, United States
Duration: Apr 8 2018Apr 10 2018

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2018-April

Conference

Conference2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018
CountryUnited States
CityLas Vegas
Period04/8/1804/10/18

Keywords

  • Human brain
  • functional connectivity
  • homogeneity
  • parcellation
  • rsfMRI

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