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

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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

Title: Long range temporal correlations (LRTCs) in MEG-data during emerging psychosis : Relationship to symptoms, medication-status and clinical trajectory
Author: Cruz, Gabriela; Grent-'t-Jong, Tineke; Krishnadas, Rajeev; Palva, J. Matias; Palva, Satu; Uhlhaas, Peter J.
Contributor: University of Helsinki, Matias Palva / Principal Investigator
University of Helsinki, Faculty Common Matters
Date: 2021
Language: eng
Number of pages: 10
Belongs to series: NeuroImage: Clinical
ISSN: 2213-1582
URI: http://hdl.handle.net/10138/335362
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.
Subject: Schizophrenia
Emerging-psychosis
Magnetoencephalography
Oscillations
Longrange-temporal-correlation s
Biomarker
CORTICAL PARVALBUMIN INTERNEURONS
SCHIZOPHRENIA-PATIENTS
COGNITIVE DYSFUNCTION
NEURAL SYNCHRONY
DYNAMICS
OSCILLATIONS
CONNECTIVITY
NEURONS
ALPHA
PATHOPHYSIOLOGY
3112 Neurosciences
3124 Neurology and psychiatry
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