Pattern classification predicts individuals' responses to affective stimuli

Translational Neuroscience

Volumn 3, Issue 3, 2012, Pages 278-287

  Yuen, Kenneth S L ^a,d   Johnston, Stephen J ^b   De Martino, Federico ^c   Sorger, Bettina ^c   Formisano, Elia ^c   Linden, David J ^a,c,e   Goebel, Rainer ^c  

^a BANGOR UNIVERSITY   (United Kingdom)

^b BRUNEL UNIVERSITY   (United Kingdom)

^c MAASTRICHT UNIVERSITY   (Netherlands)

^d UNIVERSITY MEDICAL CENTER HAMBURG EPPENDORF   (Germany)

^e CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Affective processing; Emotion; FMRI; Machine learning; Multivoxel pattern classification (MVPA); Pattern classification

Indexed keywords

ADULT; AGGRESSION; AROUSAL; ARTICLE; BOLD SIGNAL; BRAIN MAPPING; BRAIN REGION; CELL ACTIVATION; CONTROLLED STUDY; EMOTION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; KOLMOGOROV SMIRNOV TEST; MACHINE LEARNING; MALE; NEUROIMAGING; NORMAL HUMAN; PATTERN RECOGNITION; PREDICTION; PRIORITY JOURNAL; PROBABILITY; STIMULUS RESPONSE;

EID: 84871411545     PISSN: 20813856     EISSN: 20816936     Source Type: Journal    
DOI: 10.2478/s13380-012-0029-6     Document Type: Article

References (2)

1. Adolphs R., Neural systems for recognizing emotion, Curr. Opin. Neurobiol., 12, 169-177
2. Phillips M. L., Drevets W. C. Rauch S. L., Land R., Neurobiology of emotion perception I: the neural basis of normal emotion perception, Biol. Psychiat, 54, 504-514