A framework for quantifying node-level community structure group differences in brain connectivity networks

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

Volumn 7511 LNCS, Issue , 2012, Pages 196-203

  Gadelkarim, Johnson J ^a,b   Schonfeld, Dan ^a   Ajilore, Olusola ^b   Zhan, Liang ^c   Zhang, Aifeng F ^b   Feusner, Jamie D ^d   Thompson, Paul M ^c   Simon, Tony J ^e   Kumar, Anand ^b   Leow, Alex D ^b,f  

^a University of Illinois   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY TREES; MEDICAL COMPUTING;

BRAIN CONNECTIVITY; COMMUNITY STRUCTURES; DEFAULT-MODE NETWORKS; DTI TRACTOGRAPHY; HEALTHY CONTROLS; HIERARCHICAL BINARY TREES; MAJOR DEPRESSIONS; STATISTICAL FRAMEWORK;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; CONNECTOME; DIFFUSION TENSOR IMAGING; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MIDDLE AGED; NERVE CELL NETWORK; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; CONNECTOME; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MIDDLE AGED; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84988808470     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33418-4_25     Document Type: Conference Paper

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