EEG spectral power and negative symptoms in at-risk individuals predict transition to psychosis

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EEG spectral power and negative symptoms in at-risk individuals predict transition to psychosis

JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)

ID	1196101
Author(s)	Zimmermann, Ronan; Gschwandtner, Ute; Wilhelm, Frank H; Pflueger, Marlon O; Riecher-Rössler, Anita; Fuhr, Peter
Author(s) at UniBasel	Fuhr, Peter Riecher-Rössler, Anita Gschwandtner, Ute
Year	2010
Title	EEG spectral power and negative symptoms in at-risk individuals predict transition to psychosis
Journal	Schizophrenia Research
Volume	123
Number	2-3
Pages / Article-Number	208-16
Keywords	Schizophrenia, Prediction, At-risk mental state, Quantitative EEG, Negative symptoms, Fast Fourier Transform (FFT)
Abstract	EEG power in the delta, theta and beta1 bands has been shown to be positively correlated with negative symptoms in first episode psychotic patients. The present study investigates this correlation in an "at risk mental state for psychosis" (ARMS) with the aim to improve prediction of transition to psychosis.
Publisher	Elsevier
ISSN/ISBN	0920-9964 ; 1573-2509
edoc-URL	http://edoc.unibas.ch/dok/A6006279
Full Text on edoc	Available
Digital Object Identifier DOI	10.1016/j.schres.2010.08.031
PubMed ID	http://www.ncbi.nlm.nih.gov/pubmed/20850950
ISI-Number	000284795700012
Document type (ISI)	Journal Article

10/05/2024

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