A hierarchical model for integrating unsupervised generative embedding and empirical Bayes

Journal of Neuroscience Methods

Volumn 269, Issue , 2016, Pages 6-20

  Raman, Sudhir ^a   Deserno, Lorenz ^b,c,d   Schlagenhauf, Florian ^b,c   Stephan, Klaas Enno ^a,e,f  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^c MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

^d OTTO VON GUERICKE UNIVERSITY   (Germany)

^e UNIVERSITY COLLEGE LONDON   (United Kingdom)

^f MAX PLANCK INSTITUTE FOR NEUROLOGICAL RESEARCH   (Germany)

Author keywords

Clustering; DCM; Dynamic causal modelling; Markov chain Monte Carlo sampling; MCMC; Mixture model; Psychiatric spectrum diseases; Schizophrenia

Indexed keywords

ADULT; ARTICLE; BAYES THEOREM; BOLD SIGNAL; BRAIN REGION; CLINICAL ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; DSM-IV; DYNAMIC CAUSAL MODEL; ELECTROENCEPHALOGRAM; EMBEDDING; FACE VALIDITY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; MALE; MARKOV CHAIN; MENTAL PATIENT; MODEL; MONTE CARLO METHOD; NEUROIMAGING; POPULATION STRUCTURE; PRIORITY JOURNAL; SCHIZOPHRENIA; TASK PERFORMANCE; UNSUPERVISED MACHINE LEARNING; WORKING MEMORY; BIOLOGICAL MODEL; BRAIN; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SOFTWARE; STATISTICAL MODEL; VALIDATION STUDY;

ADULT; BAYES THEOREM; BRAIN; CLUSTER ANALYSIS; COMPUTER SIMULATION; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MARKOV CHAINS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; NEUROIMAGING; REPRODUCIBILITY OF RESULTS; SCHIZOPHRENIA; SOFTWARE; UNSUPERVISED MACHINE LEARNING;

EID: 84968725273     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2016.04.022     Document Type: Article

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