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Amanda Elton, Jonathan Young, Sonet Smitherman, Robin E. Gross, Tanja Mletzko and Clinton D. Kilts Neural network activation during a stop-signal task discriminates cocaine-dependent from non-drug-abusing men Addiction Biology 19

Version of Record online: 12 DEC 2012 | DOI: 10.1111/adb.12011

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Cocaine dependence is defined by deficits in inhibitory behavioral control. We assessed whether patterns of neural processing related to inhibitory motor control reliably and accurately discriminate cocaine-dependent and control samples of men. An independent component analysis of fMRI time courses identified neural processing networks associated with five sub-processes of the stop-signal task. Linear discriminant analysis was used to train and independently test an accurate multivariate pattern classifier. Cocaine addiction classification scores predicted trait impulsiveness and level of lifetime cocaine use.

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