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)

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 Grent-'T-Jong, Dr Tineke and Palva, Professor Satu and Palva, Professor Matias and Cruz, Dr 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 > School of Psychology & Neuroscience
• 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

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
190713		Using Magnetoencephalography to Investigate Aberrant Neural Synchrony in Prodromal Schizophrenia: A Translational Biomarker Approach	Peter Uhlhaas	Medical Research Council (MRC)	MR/L011689/1	NP - Centre for Cognitive Neuroimaging (CCNi)