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Fig. 7 | BMC Bioinformatics

Fig. 7

From: Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach

Fig. 7

Regions that is used to classify cocaine-dependent and controls participants with the best accuracy. 1500 voxels in 30 clusters were identified. Figure shows sagittal sections of region-of-interests (ROIs) where 100 % model, 89 % LOO, and 88 % 10xCV accuracies were obtained. Red identifies clusters of increased regional cerebral blood flow (rCBF) in cocaine-dependent participants relative to controls. Blue identifies clusters of decreased (rCBF) in cocaine-dependent participants relative to controls. Slice numbers are in MNI coordinates. MNI coordinates of each cluster and images in axial planes are provided in the Additional file 1

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BMC Bioinformatics

ISSN: 1471-2105

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