A multivariate approach to investigate the associations of electrophysiological indices with schizophrenia clinical and functional outcome

A multivariate approach to investigate the associations of electrophysiological indices with schizophrenia clinical and functional outcome

Abstract Background Different electrophysiological (EEG) indices have been investigated as possible biomarkers of schizophrenia. However, these indices have a very limited use in clinical practice, as their associations with clinical and functional outcomes remain unclear. This study aimed to inve...

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Bibliographic Details
Main Authors: Luigi Giuliani, Nikolaos Koutsouleris, Giulia Maria Giordano, Thomas Koenig, Armida Mucci, Andrea Perrottelli, Anne Reuf, Mario Altamura, Antonello Bellomo, Roberto Brugnoli, Giulio Corrivetti, Giorgio Di Lorenzo, Paolo Girardi, Palmiero Monteleone, Cinzia Niolu, Silvana Galderisi, Mario Maj
Format: Article
Language:English
Published: Cambridge University Press 2023-01-01
Series:European Psychiatry
Subjects:
EEG
functional outcome
machine learning
schizophrenia
Online Access:https://www.cambridge.org/core/product/identifier/S0924933823024100/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S0924933823024100/type/journal_article

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