Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review

Cognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to their presence throughout different illness stages and their impact on functioning. Abnormalities in electrophysiology (EEG) measures are highly related to these impairments, but the use of EEG indices in clin...

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Main Authors: Andrea Perrottelli, Giulia Maria Giordano, Francesco Brando, Luigi Giuliani, Pasquale Pezzella, Armida Mucci, Silvana Galderisi
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/12/9/2193
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author Andrea Perrottelli
Giulia Maria Giordano
Francesco Brando
Luigi Giuliani
Pasquale Pezzella
Armida Mucci
Silvana Galderisi
author_facet Andrea Perrottelli
Giulia Maria Giordano
Francesco Brando
Luigi Giuliani
Pasquale Pezzella
Armida Mucci
Silvana Galderisi
author_sort Andrea Perrottelli
collection DOAJ
description Cognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to their presence throughout different illness stages and their impact on functioning. Abnormalities in electrophysiology (EEG) measures are highly related to these impairments, but the use of EEG indices in clinical practice is still limited. A systematic review of articles using Pubmed, Scopus and PsychINFO was undertaken in November 2021 to provide an overview of the relationships between EEG indices and cognitive impairment in schizophrenia-spectrum disorders. Out of 2433 screened records, 135 studies were included in a qualitative review. Although the results were heterogeneous, some significant correlations were identified. In particular, abnormalities in alpha, theta and gamma activity, as well as in MMN and P300, were associated with impairments in cognitive domains such as attention, working memory, visual and verbal learning and executive functioning during at-risk mental states, early and chronic stages of schizophrenia-spectrum disorders. The review suggests that machine learning approaches together with a careful selection of validated EEG and cognitive indices and characterization of clinical phenotypes might contribute to increase the use of EEG-based measures in clinical settings.
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spelling doaj.art-a6a89d942b9740b9a93500a1548cbfbf2023-11-23T15:50:14ZengMDPI AGDiagnostics2075-44182022-09-01129219310.3390/diagnostics12092193Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic ReviewAndrea Perrottelli0Giulia Maria Giordano1Francesco Brando2Luigi Giuliani3Pasquale Pezzella4Armida Mucci5Silvana Galderisi6Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie 1, 80138 Naples, ItalyDepartment of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie 1, 80138 Naples, ItalyDepartment of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie 1, 80138 Naples, ItalyDepartment of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie 1, 80138 Naples, ItalyDepartment of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie 1, 80138 Naples, ItalyDepartment of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie 1, 80138 Naples, ItalyDepartment of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie 1, 80138 Naples, ItalyCognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to their presence throughout different illness stages and their impact on functioning. Abnormalities in electrophysiology (EEG) measures are highly related to these impairments, but the use of EEG indices in clinical practice is still limited. A systematic review of articles using Pubmed, Scopus and PsychINFO was undertaken in November 2021 to provide an overview of the relationships between EEG indices and cognitive impairment in schizophrenia-spectrum disorders. Out of 2433 screened records, 135 studies were included in a qualitative review. Although the results were heterogeneous, some significant correlations were identified. In particular, abnormalities in alpha, theta and gamma activity, as well as in MMN and P300, were associated with impairments in cognitive domains such as attention, working memory, visual and verbal learning and executive functioning during at-risk mental states, early and chronic stages of schizophrenia-spectrum disorders. The review suggests that machine learning approaches together with a careful selection of validated EEG and cognitive indices and characterization of clinical phenotypes might contribute to increase the use of EEG-based measures in clinical settings.https://www.mdpi.com/2075-4418/12/9/2193electroencephalogram (EEG)cognitionschizophreniabiomarkers
spellingShingle Andrea Perrottelli
Giulia Maria Giordano
Francesco Brando
Luigi Giuliani
Pasquale Pezzella
Armida Mucci
Silvana Galderisi
Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review
Diagnostics
electroencephalogram (EEG)
cognition
schizophrenia
biomarkers
title Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review
title_full Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review
title_fullStr Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review
title_full_unstemmed Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review
title_short Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review
title_sort unveiling the associations between eeg indices and cognitive deficits in schizophrenia spectrum disorders a systematic review
topic electroencephalogram (EEG)
cognition
schizophrenia
biomarkers
url https://www.mdpi.com/2075-4418/12/9/2193
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