Long range temporal correlations (LRTCs) in MEG-data during emerging psychosis: Relationship to symptoms, medication-status and clinical trajectory
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2021-01
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Language
en
Pages
10
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NeuroImage: Clinical, Volume 31
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.Description
Funding Information: We would like to thank Frances Crabbe, MSc, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland for help in the acquisition of MEG/MRI-data. The investigators also acknowledge the support of the Scottish Mental Health Research Network (http://www.smhrn.org.uk), now called the NHS Research Scotland Mental Health Network (http://www.nhsresearchscotland.org.uk/research-areas/mental-health), for providing assistance with participant recruitment, interviews, and cognitive assessments. We thank both the participants and patients who took part in the study and the research assistants of the YouR-study for supporting the recruitment and assessment of CHR participants. The study was supported by the Medical Research Council (MR/L011689/1) and ERANET-Project ?IMBALANCE?. Funding Information: The study was supported by the Medical Research Council (MR/L011689/1) and ERANET-Project “IMBALANCE”. Publisher Copyright: © 2021 The Authors
Keywords
Biomarker, Emerging-psychosis, Longrange-temporal-correlations, Magnetoencephalography, Oscillations, Schizophrenia
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Citation
Cruz, G, Grent-'t-Jong, T, Krishnadas, R, Palva, J M, Palva, S & 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, vol. 31, 102722 . https://doi.org/10.1016/j.nicl.2021.102722