Long range temporal correlations (LRTCs) in MEG-data during emerging psychosis: relationship to symptoms, medication-status and clinical trajectory

Cruz, G. , Grent-'t-Jong, T. , Krishnadas, R., Palva, J. M. , Palva, S. and Uhlhaas, P. J. (2021) Long range temporal correlations (LRTCs) in MEG-data during emerging psychosis: relationship to symptoms, medication-status and clinical trajectory. NeuroImage: Clinical, 31, 102722. (doi: 10.1016/j.nicl.2021.102722) (PMID:34130193) (PMCID:PMC8209846)

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Abstract

Long-Range Temporal Correlations (LRTCs) index the capacity of the brain to optimally process information. Previous research has shown that patients with chronic schizophrenia present altered LRTCs at alpha and beta oscillations. However, it is currently unclear at which stage of schizophrenia aberrant LRTCs emerge. To address this question, we investigated LRTCs in resting-state magnetoencephalographic (MEG) recordings obtained from patients with affective disorders and substance abuse (clinically at low-risk of psychosis, CHR-N), patients at clinical high-risk of psychosis (CHR-P) (n = 115), as well as patients with a first episode (FEP) (n = 25). Matched healthy controls (n = 47) served as comparison group. LRTCs were obtained for frequencies from 4 to 40 Hz and correlated with clinical and neuropsychological data. In addition, we examined the relationship between LRTCs and transition to psychosis in CHR-P participants, and the relationship between LRTC and antipsychotic medication in FEP participants. Our results show that participants from the clinical groups have similar LRTCs to controls. In addition, LRTCs did not correlate with clinical and neurocognitive variables across participants nor did LRTCs predict transition to psychosis. Therefore, impaired LRTCs do not reflect a feature in the clinical trajectory of psychosis. Nevertheless, reduced LRTCs in the beta-band over posterior sensors of medicated FEP participants indicate that altered LRTCs may appear at the onset of the illness. Future studies are needed to elucidate the role of anti-psychotic medication in altered LRTCs.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Uhlhaas, Professor Peter and Palva, Professor Satu and Grent-'T-Jong, Dr Tineke and Palva, Professor Matias and Cruz, Ms Gabriela and Krishnadas, Dr Rajeev
Creator Roles:
Cruz, G.Conceptualization, Methodology, Software, Formal analysis, Writing – original draft, Visualization
Grent-'T-Jong, T.Investigation, Data curation
Krishnadas, R.Investigation
Palva, J. M.Funding acquisition, Conceptualization, Methodology, Project administration, Writing – original draft
Palva, S.Funding acquisition, Conceptualization, Methodology, Project administration, Writing – original draft
Uhlhaas, P. J.Funding acquisition, Writing – review and editing
Authors: Cruz, G., Grent-'t-Jong, T., Krishnadas, R., Palva, J. M., Palva, S., and Uhlhaas, P. J.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
Journal Name:NeuroImage: Clinical
Publisher:Elsevier
ISSN:2213-1582
ISSN (Online):2213-1582
Published Online:08 June 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in NeuroImage: Clinical 31: 102722
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
190713Using Magnetoencephalography to Investigate Aberrant Neural Synchrony in Prodromal Schizophrenia: A Translational Biomarker ApproachPeter UhlhaasMedical Research Council (MRC)MR/L011689/1NP - Centre for Cognitive Neuroimaging (CCNi)