@inproceedings{95e2cb73754240c9b7cad205bcda5623,
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.",
keywords = "Human brain, functional connectivity, homogeneity, parcellation, rsfMRI",
author = "Xiangyu Liu and Hua Xie and Brian Nutter and Sunanda Mitra",
note = "Funding Information: ACKNOWLEDGMENT This project was supported by the NLM-NIH contract [HHSN276201 500690P]. We gratefully acknowledge many discussions, evaluations and feedback regarding this research effort with Harshit Parmar and Omid Bazgir. Publisher Copyright: {\textcopyright} 2018 IEEE.; null ; Conference date: 08-04-2018 Through 10-04-2018",
year = "2018",
month = sep,
day = "21",
doi = "10.1109/SSIAI.2018.8470321",
language = "English",
series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "41--44",
booktitle = "2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings",
}