Measuring alterations in oscillatory brain networks in schizophrenia with resting-state MEG: State-of-the-art and methodological challenges

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dc.contributor.authorAlamian, Golnoush
dc.contributor.authorHincapie, Ana Sofia
dc.contributor.authorPascarella, Annalisa
dc.contributor.authorThiery, Thomas
dc.contributor.authorCombrisson, Etienne
dc.contributor.authorSaive, Anne Lise
dc.contributor.authorMartel, Veronique
dc.contributor.authorAlthukov, Dmitrii
dc.contributor.authorHaesebaert, Frederic
dc.contributor.authorJerbi, Karim
dc.date.accessioned2024-01-10T13:14:43Z
dc.date.available2024-01-10T13:14:43Z
dc.date.issued2017
dc.description.abstractObjective: Neuroimaging studies provide evidence of disturbed resting-state brain networks in Schizophrenia (SZ). However, untangling the neuronal mechanisms that subserve these baseline alterations requires measurement of their electrophysiological underpinnings. This systematic review specifically investigates the contributions of resting-state Magnetoencephalography (MEG) in elucidating abnormal neural organization in SZ patients.& para;& para;Method: A systematic literature review of resting-state MEG studies in SZ was conducted. This literature is discussed in relation to findings from resting-state fMRI and EEG, as well as to task-based MEG research in SZ population. Importantly, methodological limitations are considered and recommendations to overcome current limitations are proposed.& para;& para;Results: Resting-state MEG literature in SZ points towards altered local and long-range oscillatory network dynamics in various frequency bands. Critical methodological challenges with respect to experiment design, and data collection and analysis need to be taken into consideration.& para;& para;Conclusion: Spontaneous MEG data show that local and global neural organization is altered in SZ patients. MEG is a highly promising tool to fill in knowledge gaps about the neurophysiology of SZ. However, to reach its fullest potential, basic methodological challenges need to be overcome.& para;& para;Significance: MEG-based resting-state power and connectivity findings could be great assets to clinical and translational research in psychiatry, and SZ in particular. (C) 2017 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
dc.description.funderCERNEC scholarship
dc.description.funderNatural Sciences and Engineering Research Council of Canada (NSERC)
dc.description.funderEcole Doctorale Inter-Disciplinaire Sciences-Sante (EDISS), Lyon, France
dc.description.funderFRQNT (Quebec, Canada)
dc.description.funderNSERC Undergraduate Student Research Awards (NSERC-USRA)
dc.description.funderNSERC Discovery Grant
dc.description.funderCanada Research Chairs program
dc.fechaingreso.objetodigital2024-03-26
dc.format.extent18 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.clinph.2017.06.246
dc.identifier.eissn1872-8952
dc.identifier.issn1388-2457
dc.identifier.pubmedidMEDLINE:28756348
dc.identifier.urihttps://doi.org/10.1016/j.clinph.2017.06.246
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/78435
dc.identifier.wosidWOS:000415742000022
dc.information.autorucIngeniería;Hincapie A;S/I;189460
dc.issue.numero9
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final1736
dc.pagina.inicio1719
dc.publisherELSEVIER IRELAND LTD
dc.revistaCLINICAL NEUROPHYSIOLOGY
dc.rightsacceso restringido
dc.subjectMagnetoencephalography (MEG)
dc.subjectConnectivity
dc.subjectResting-state
dc.subjectPsychiatry
dc.subjectSchizophrenia
dc.subjectOscillations
dc.subjectSynchronization
dc.subjectDEFAULT MODE NETWORK
dc.subjectSLOW-WAVE ACTIVITY
dc.subjectHIGH-FREQUENCY OSCILLATIONS
dc.subjectDIRECT-CURRENT STIMULATION
dc.subjectSMALL-WORLD NETWORKS
dc.subjectFUNCTIONAL CONNECTIVITY
dc.subjectANTIPSYCHOTIC TREATMENT
dc.subjectNEURAL OSCILLATIONS
dc.subjectNEGATIVE SYMPTOMS
dc.subjectDIRECT RECORDINGS
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleMeasuring alterations in oscillatory brain networks in schizophrenia with resting-state MEG: State-of-the-art and methodological challenges
dc.typeartículo
dc.volumen128
sipa.codpersvinculados189460
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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