GIC-experimental-databases/Cocaine feature vectors

De Grupo de Inteligencia Computacional (GIC)
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Datasets of features extracted from a database of 124 subjects: 61 healthy controls and 63 cocaine adicted patients

These features are based on two feature extraction pipelines: one based on Pearson's correlation and other based on VBM analysis. For the moment, we work over the GM voxel intensity values after image preprocessing.