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TUCKER DECOMPOSITION FOR EXTRACTING SHARED AND INDIVIDUAL SPATIAL MAPS FROM MULTI-SUBJECT RESTING-STATE FMRI DATA

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成果类型:
会议论文
作者:
Han, Yue;Lin, Qiu-Hua*;Kuang, Li-Dan;Gong, Xiao-Feng;Cong, Fengyu;...
通讯作者:
Lin, Qiu-Hua
作者机构:
[Han, Yue; Lin, Qiu-Hua; Gong, Xiao-Feng] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China.
[Kuang, Li-Dan] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.
[Cong, Fengyu] Dalian Univ Technol, Sch Biomed Engn, Dalian, Peoples R China.
[Cong, Fengyu] Univ Jyvaskyla, Fac Informat Technol, Jyvaskyla, Finland.
[Calhoun, Vince D.] Emory Univ, Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Georgia Inst Technol, Atlanta, GA USA.
通讯机构:
[Lin, Qiu-Hua] D
Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China.
语种:
英文
关键词:
Multi-subject fMRI data;Tucker decomposition;shared spatial maps;individual spatial maps;resting-state fMRI data
期刊:
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
年:
2021
页码:
1110-1114
会议名称:
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
会议时间:
JUN 06-11, 2021
会议地点:
ELECTR NETWORK
会议主办单位:
[Han, Yue;Lin, Qiu-Hua;Gong, Xiao-Feng] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China.^[Kuang, Li-Dan] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.^[Cong, Fengyu] Dalian Univ Technol, Sch Biomed Engn, Dalian, Peoples R China.^[Cong, Fengyu] Univ Jyvaskyla, Fac Informat Technol, Jyvaskyla, Finland.^[Calhoun, Vince D.] Emory Univ, Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Georgia Inst Technol, Atlanta, GA USA.
会议赞助商:
IEEE, Inst Elect & Elect Engineers, Signal Proc Soc
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-7281-7605-5
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61871067, 61901061, 62071082, 61671106, 81471742]; NSFNational Science Foundation (NSF) [1539067, 0840895, 0715022]; NIHUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [R01MH104680, R01MH107354, R01EB005846, 5P20GM103472]; Fundamental Research Funds for the Central Universities, ChinaFundamental Research Funds for the Central Universities [DUT20ZD220, DUT20LAB120]; Supercomputing Center of Dalian University of Technology
机构署名:
本校为其他机构
院系归属:
计算机与通信工程学院
摘要:
Tucker decomposition (TKD) has been utilized to identify functional connectivity patterns using processed fMRI data, but seldom focuses on originally acquired fMRI data. This study proposes to decompose multi-subject fMRI data in a natural three-way of voxel x time x subject via TKD. Different from existing tensor decomposition algorithms such as canonical polyadic decomposition (CPD) for extracting shared spatial maps (SMs), we propose to extract both shared and individual SMs by exploring spatial-temporal-subject relationship contained in the core tensor. We test the proposed method using mu...

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