Predicting risky choices from brain activity patterns

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue 7, 2014, Pages 2470-2475

  Helfinstein, Sarah M ^a   Schonberg, Tom ^a   Congdon, Eliza ^b,c   Karlsgodt, Katherine H ^d,e   Mumford, Jeanette A ^a   Sabb, Fred W ^b,c,f   Cannon, Tyrone D ^g,h   London, Edythe D ^b,c,f,i   Bilder, Robert M ^b,c,f,g   Poldrack, Russell A ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b The Department of Radiology   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d ZUCKER HILLSIDE HOSPITAL   (United States)

^e FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH   (United States)

^f Brain Research Institute   (United States)

^g 1 University Station D5800   (United States)

^h YALE UNIVERSITY   (United States)

ⁱ Molecular and Medical Pharmacology   (United States)

Author keywords

Decision making; FMRI; Machine learning

Indexed keywords

DECISION-MAKING; FMRI; MACHINE LEARNING;

CHOICE BEHAVIOR; COGNITION; HUMANS; MAGNETIC RESONANCE IMAGING; NERVE NET; NEUROPSYCHOLOGICAL TESTS; RISK-TAKING;

EID: 84894365568     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1321728111     Document Type: Article

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