TY - GEN
T1 - Sparse dictionary learning of resting state fMRI networks
AU - Eavani, Harini
AU - Filipovych, Roman
AU - Davatzikos, Christos
AU - Satterthwaite, Theodore D.
AU - Gur, Raquel E.
AU - Gur, Ruben C.
PY - 2012
Y1 - 2012
N2 - Research in resting state fMRI (rsfMRI) has revealed the presence of stable, anti-correlated functional sub-networks in the brain. Task-positive networks are active during a cognitive process and are anti-correlated with task-negative networks, which are active during rest. In this paper, based on the assumption that the structure of the resting state functional brain connectivity is sparse, we utilize sparse dictionary modeling to identify distinct functional sub-networks. We propose two ways of formulating the sparse functional network learning problem that characterize the underlying functional connectivity from different perspectives. Our results show that the whole-brain functional connectivity can be concisely represented with highly modular, overlapping task-positive/negative pairs of sub-networks.
AB - Research in resting state fMRI (rsfMRI) has revealed the presence of stable, anti-correlated functional sub-networks in the brain. Task-positive networks are active during a cognitive process and are anti-correlated with task-negative networks, which are active during rest. In this paper, based on the assumption that the structure of the resting state functional brain connectivity is sparse, we utilize sparse dictionary modeling to identify distinct functional sub-networks. We propose two ways of formulating the sparse functional network learning problem that characterize the underlying functional connectivity from different perspectives. Our results show that the whole-brain functional connectivity can be concisely represented with highly modular, overlapping task-positive/negative pairs of sub-networks.
KW - K-SVD
KW - Resting state fMRI
KW - functional connectivity
KW - sparse modeling
UR - http://www.scopus.com/inward/record.url?scp=84867756213&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867756213&partnerID=8YFLogxK
U2 - 10.1109/PRNI.2012.25
DO - 10.1109/PRNI.2012.25
M3 - Conference contribution
C2 - 25178438
AN - SCOPUS:84867756213
SN - 9780769547657
T3 - Proceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012
SP - 73
EP - 76
BT - Proceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012
T2 - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012
Y2 - 2 July 2012 through 4 July 2012
ER -