Investigation of electrophysiological markers to predict clinical and functional outcome of schizophrenia using sparse partial least square regression

Introduction Despite innovative treatments, the impairment in real-life functioning in subjects with schizophrenia (SCZ) remains an unmet need in the care of these patients. Recently, real-life functioning in SCZ was associated with abnormalities in different electrophysiological indices. It is st...

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Hlavní autoři:	L. Giuliani, D. Popovic, N. Koutsouleris, G.M. Giordano, T. Koenig, A. Mucci, A. Vignapiano, M. Altamura, A. Bellomo, R. Brugnoli, G. Corrivetti, G. Di Lorenzo, P. Girardi, P. Monteleone, C. Niolu, S. Galderisi, M. Maj
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Cambridge University Press 2021-04-01
Edice:	European Psychiatry
Témata:	schizophrénia EEG Outcome prediction
On-line přístup:	https://www.cambridge.org/core/product/identifier/S0924933821014462/type/journal_article
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