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

Xiangyu Liu; Hua Xie; Brian Nutter; Sunanda Mitra

doi:10.1109/SSIAI.2018.8470321

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

Xiangyu Liu, Hua Xie, Brian Nutter, Sunanda Mitra

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	41-44
Number of pages	4
ISBN (Electronic)	9781538665688
DOIs	https://doi.org/10.1109/SSIAI.2018.8470321
State	Published - Sep 21 2018
Event	2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Las Vegas, United States Duration: Apr 8 2018 → Apr 10 2018

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume	2018-April

Conference

Conference	2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018
Country	United States
City	Las Vegas
Period	04/8/18 → 04/10/18

Keywords

Human brain
functional connectivity
homogeneity
parcellation
rsfMRI

Access to Document

10.1109/SSIAI.2018.8470321

Link to publication in Scopus

Fingerprint Dive into the research topics of 'High-homogeneity functional parcellation of human brain for investigating robust functional connectivity'. Together they form a unique fingerprint.

Cite this

Liu, X., Xie, H., Nutter, B., & Mitra, S. (2018). High-homogeneity functional parcellation of human brain for investigating robust functional connectivity. In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings (pp. 41-44). [8470321] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSIAI.2018.8470321

Liu, Xiangyu ; Xie, Hua ; Nutter, Brian ; Mitra, Sunanda. / High-homogeneity functional parcellation of human brain for investigating robust functional connectivity. 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 41-44 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).

@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",

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",

}

Liu, X, Xie, H, Nutter, B & Mitra, S 2018, High-homogeneity functional parcellation of human brain for investigating robust functional connectivity. in 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings., 8470321, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., pp. 41-44, 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018, Las Vegas, United States, 04/8/18. https://doi.org/10.1109/SSIAI.2018.8470321

High-homogeneity functional parcellation of human brain for investigating robust functional connectivity. / Liu, Xiangyu; Xie, Hua; Nutter, Brian; Mitra, Sunanda.

2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 41-44 8470321 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - High-homogeneity functional parcellation of human brain for investigating robust functional connectivity

AU - Liu, Xiangyu

AU - Xie, Hua

AU - Nutter, Brian

AU - Mitra, Sunanda

PY - 2018/9/21

Y1 - 2018/9/21

N2 - 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.

AB - 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.

KW - Human brain

KW - functional connectivity

KW - homogeneity

KW - parcellation

KW - rsfMRI

UR - http://www.scopus.com/inward/record.url?scp=85055556352&partnerID=8YFLogxK

U2 - 10.1109/SSIAI.2018.8470321

DO - 10.1109/SSIAI.2018.8470321

M3 - Conference contribution

AN - SCOPUS:85055556352

T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

SP - 41

EP - 44

BT - 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 8 April 2018 through 10 April 2018

ER -

Liu X, Xie H, Nutter B, Mitra S. High-homogeneity functional parcellation of human brain for investigating robust functional connectivity. In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 41-44. 8470321. (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). https://doi.org/10.1109/SSIAI.2018.8470321