October 9, 2015Open Access

Prediction of psychosis using neural oscillations and machine learning in neuroleptic-naïve at-risk patients

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Resumen

Our results suggest that CSD measurements extracted from clinical resting state EEG can help to improve the prediction of psychosis on a single-subject level.

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Ramyead et al. (Fri,) studied this question.

synapsesocial.com/papers/69df2ad55f017361af614033 https://doi.org/https://doi.org/10.3109/15622975.2015.1083614

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