DocumentCode
183359
Title
Hierarchical topographic factor analysis
Author
Manning, Jeremy R. ; Ranganath, Rajesh ; Keung, Waitsang ; Turk-Browne, Nicholas B. ; Cohen, J.D. ; Norman, Kenneth A. ; Blei, David M.
fYear
2014
fDate
4-6 June 2014
Firstpage
1
Lastpage
4
Abstract
Recent work has revealed that cognitive processes are often reflected in patterns of functional connectivity throughout the brain (for review see [16]). However, examining functional connectivity patterns using traditional methods carries a substantial computational burden (of computing time and memory). Here we present a technique, termed Hierarchical topographic factor analysis, for efficiently discovering brain networks in large multi-subject neuroimaging datasets.
Keywords
biomedical MRI; brain; cognition; image reconstruction; medical image processing; neurophysiology; brain networks; cognitive processes; fMRI; functional connectivity patterns; hierarchical topographic factor analysis; image reconstruction; memory computation; multisubject neuroimaging datasets; pattern reflection; substantial computational burden; time computation; Brain modeling; Covariance matrices; Face; Graphical models; Principal component analysis; Reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition in Neuroimaging, 2014 International Workshop on
Conference_Location
Tubingen
Print_ISBN
978-1-4799-4150-6
Type
conf
DOI
10.1109/PRNI.2014.6858530
Filename
6858530
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