Prediction scores for different methods.

Area under the ROC curve (1 is perfect prediction, while chance is at 0.5); a score for each term; b score relative to the average per term for each decoding approach. As the terms in NeuroSynth do not fully overlap with the terms used in our database, not every term has a prediction score with NeuroSynth. The ontology-informed decoder is almost always able to assign the right cognitive concepts to an unknown task and clearly out-performs standards decoders: logistic regression and naive Bayes classifier trained on our database. It also outperforms the NeuroSynth decoding based on meta-analysis.