Overcoming the effects of false positives and threshold bias in graph theoretical analyses of neuroimaging data

NeuroImage

Volumn 118, Issue , 2015, Pages 313-333

  Drakesmith, M ^a,b   Caeyenberghs, K ^c   Dutt, A ^d   Lewis, G ^e   David, A S ^d   Jones, D K ^a,b  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c AUSTRALIAN CATHOLIC UNIVERSITY   (Australia)

^d KING'S COLLEGE LONDON   (United Kingdom)

^e UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BRAIN FUNCTION; CONTROLLED STUDY; DATA ANALYSIS; FALSE POSITIVE RESULT; FEMALE; FUNCTIONAL ASSESSMENT; GRAPH THEORY; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; INTERMETHOD COMPARISON; INVESTIGATIVE PROCEDURES; MALE; MULTI THRESHOLD PREMUTATION CORRECTION METHOD; NERVE CELL NETWORK; NEUROIMAGING; PERCEPTIVE THRESHOLD; PRIORITY JOURNAL; PROCESS DEVELOPMENT; SENSITIVITY ANALYSIS; THEORY; TRACTOGRAPHY; YOUNG ADULT; ANATOMY AND HISTOLOGY; ARTIFACT; BIOLOGICAL MODEL; BRAIN; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; REPRODUCIBILITY; STATISTICS;

ADULT; ARTIFACTS; BRAIN; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET; NEURAL PATHWAYS; NEUROIMAGING; REPRODUCIBILITY OF RESULTS; STATISTICS AS TOPIC; YOUNG ADULT;

EID: 84934988285     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.05.011     Document Type: Article

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