Electrophysiological insights into connectivity anomalies in schizophrenia: a systematic review. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Maran, Matteo; Grent-'t-Jong, Tineke; Uhlhaas, Peter
• Is Part Of: Neuropsychiatric electrophysiology. Volume 2:Issue 1(2016)
• Page Start: 1
• Page End: 9
• Publication Date: 2016-12
• Subjects: Schizophrenia -- Dysconnectivity -- Functional connectivity -- Neural synchrony -- EEG -- MEG; Neuropsychiatry -- Periodicals; Electrophysiology -- Periodicals; Brain -- Electric properties -- Periodicals; 616.807547
• DOI: 10.1186/s40810-016-0020-5
• Languages: English
• ISSNs: 2055-4788

Abstract

Abstract The pathophysiology of schizophrenia may fundamentally involve a disturbance in the interaction between neuronal groups that leads to impaired communication within and between brain areas. Such a "dysconnectivity syndrome" could underlie the pronounced cognitive deficits as well as the emergence of psychosis. Evidence for this hypothesis has mainly come from functional magnetic resonance imaging (fMRI) studies which have investigated connectivity anomalies during spontaneous as well as task-related activity. In the current review, we will summarize evidence from electro- and magnetoencephalography (EEG/MEG) which have employed measures, such as coherence, phase-locking and mutual information, that have tested changes in functional connectivity during task-related as well as resting-state time-frequency data. We will highlight the methodological issues associated with these measures as well as provide recommendations for future research.