Decoding continuous variables from neuroimaging data: Basic and clinical applications

Frontiers in Neuroscience

Volumn , Issue JUN, 2011, Pages

  Cohen, Jessica R ^a   Asarnow, Robert F ^b   Sabb, Fred W ^b   Bilder, Robert M ^b   Bookheimer, Susan Y ^b   Knowlton, Barbara J ^b   Poldrack, Russell A ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

fMRI; High dimensional regression; Machine learning; Multivariate decoding; Predictive analysis

Indexed keywords

ACCURACY; ALZHEIMER DISEASE; ANTERIOR CINGULATE; ATTENTION DEFICIT DISORDER; AUTISM; BAYESIAN LEARNING; CAG REPEAT; COGNITION; CORRELATION COEFFICIENT; DECISION MAKING; DEPRESSION; DIFFUSION WEIGHTED IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; INFERIOR FRONTAL GYRUS; INFORMATION PROCESSING; KERNEL METHOD; MACHINE LEARNING; MINI MENTAL STATE EXAMINATION; NEUROPSYCHOLOGICAL TEST; NEUROPSYCHOLOGY; PARTICIPANT OBSERVATION; PREDICTION; PREDICTIVE VALUE; PREDICTOR VARIABLE; PREFRONTAL CORTEX; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; RESPONSE TIME; REVIEW; STATISTICAL ANALYSIS; SUBTHALAMIC NUCLEUS; SUPPORT VECTOR MACHINE; TRANSCRANIAL MAGNETIC STIMULATION; UNIVARIATE ANALYSIS; VENTROMEDIAL PREFRONTAL CORTEX;

EID: 84856267605     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2011.00075     Document Type: Review

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