HUMAN NEUROIMAGING STUDY
Neural network activation during a stop-signal task discriminates cocaine-dependent from non-drug-abusing men
Version of Record online: 12 DEC 2012
© 2012 The Authors, Addiction Biology © 2012 Society for the Study of Addiction
Volume 19, Issue 3, pages 427–438, May 2014
How to Cite
Elton, A., Young, J., Smitherman, S., Gross, R. E., Mletzko, T. and Kilts, C. D. (2014), Neural network activation during a stop-signal task discriminates cocaine-dependent from non-drug-abusing men. Addiction Biology, 19: 427–438. doi: 10.1111/adb.12011
- Issue online: 17 APR 2014
- Version of Record online: 12 DEC 2012
- National Institute on Drug Abuse. Grant Number: RO1DA019999
- National Center for Research Resources. Grant Numbers: UL1RR029884, KL2RR029883
- National Institute on Drug Abuse. Grant Number: T32DA022981
- Glidden Family Foundation
Figure S1 An independent component analysis identified 15 spatially independent, non-noise components of neural network activation. Stepwise variable selection identified a subset of components (1, 4, 5, 7, 9, 11, 19, 25, 30) for which task-related activation discriminated cocaine-dependent from non-drug abusing men.
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