Identification of discriminative subgraph patterns in fMRI brain networks in bipolar affective disorder

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9250, Issue , 2015, Pages 105-114

  Cao, Bokai ^a   Zhan, Liang ^b   Kong, Xiangnan ^c   Yu, Philip S ^a,d   Vizueta, Nathalie ^e   Altshuler, Lori L ^e   Leow, Alex D ^f  

^a University of Illinois at Chicago   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Worcester Polytechnic Institute   (United States)

^d TSINGHUA UNIVERSITY   (China)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Bipolar disorder; Brain network; Data mining; Feature selection; Subgraph pattern

Indexed keywords

BRAIN; COMPLEX NETWORKS; DATA MINING; FEATURE EXTRACTION; GRAPH THEORY; IMAGING TECHNIQUES; INFORMATION SCIENCE; MAGNETIC RESONANCE IMAGING;

BIPOLAR DISORDER; BRAIN NETWORKS; CONVENTIONAL APPROACH; GRAPH THEORETICAL ANALYSIS; LINKAGE INFORMATION; PAIRWISE CONNECTIVITIES; STRUCTURAL CONNECTIVITY; SUBGRAPHS;

BIG DATA;

EID: 84945956827     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-23344-4_11     Document Type: Conference Paper

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