Multivariate approach to identify electrophysiological markers for diagnosis and prognosis of schizophrenia

Multivariate approach to identify electrophysiological markers for diagnosis and prognosis of schizophrenia

Introduction Different electrophysiological indices have been investigated to identify diagnostic and prognostic markers of schizophrenia (SCZ). However, these indices have limited use in clinical practice, since both specificity and association with illness outcome remain unclear. In recent years...

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Bibliographic Details
Main Authors: L. Giuliani, N. Koutsouleris, T. Koenig, A. Mucci, A. Vignapiano, A. Reuf, M. Altamura, A. Bellomo, R. Brugnoli, G. Corrivetti, G. Di Lorenzo, P. Girardi, P. Monteleone, S. Galderisi, M. Maj
Format: Article
Language:English
Published: Cambridge University Press 2021-04-01
Series:European Psychiatry
Subjects:
schizophrénia
EEG
machine learning
negative symptoms
Online Access:https://www.cambridge.org/core/product/identifier/S0924933821014255/type/journal_article

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