Investigating brain community structure abnormalities in bipolar disorder using path length associated community estimation

Human Brain Mapping

Volumn 35, Issue 5, 2014, Pages 2253-2264

  Gadelkarim, Johnson J ^a,b   Ajilore, Olusola ^b   Schonfeld, Dan ^a   Zhan, Liang ^c   Thompson, Paul M ^c   Feusner, Jamie D ^c   Kumar, Anand ^b   Altshuler, Lori L ^c   Leow, Alex D ^b,d,e  

^a 1120 Science and Engineering Offices   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d Department of Psychiatry and Behavioral Sciences UCLA ^*  (United States)

^e University of Illinois at Chicago   (United States)

Author keywords

Bipolar disorder; Community structure; Connectome; Hierarchical trees

Indexed keywords

ADULT; ALGORITHM; ANALYTIC METHOD; ARTICLE; BIPOLAR DISORDER; BIPOLAR I DISORDER; BRAIN COMMUNITY STRUCTURE; BRAIN DISEASE; CLINICAL ARTICLE; CONTROLLED STUDY; DEFAULT MODE NETWORK; DEPRESSION; FEMALE; HUMAN; LEFT HEMISPHERE; MALE; NERVE CELL NETWORK; PATH LENGTH ASSOCIATED COMMUNITY ESTIMATION; POSTERIOR CINGULATE; PRECUNEUS; PRIORITY JOURNAL; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPLICATION; HEMISPHERIC DOMINANCE; MIDDLE AGED; NERVE TRACT; PATHOLOGY; PHYSIOLOGY;

ADULT; BIPOLAR DISORDER; BRAIN; BRAIN MAPPING; FEMALE; FUNCTIONAL LATERALITY; HUMANS; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; NERVE NET; NEURAL PATHWAYS;

EID: 84898049176     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22324     Document Type: Article

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