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ORIGINAL RESEARCH article

Front. Hum. Neurosci.
Sec. Brain Imaging and Stimulation
Volume 18 - 2024 | doi: 10.3389/fnhum.2024.1449820
This article is part of the Research Topic EEG Rhythms: Decoding the Evolutionary Enigma of Alpha Rhythms in Vertebrates View all articles

Resting-State Electroencephalogram in Drug-Free Subjects with At-Risk Mental States Who Later Developed Psychosis: A Low-Resolution Electromagnetic Tomography Analysis

Provisionally accepted
  • 1 Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
  • 2 Research Center for Idling Brain Science, University of Toyama, Toyama, Toyama, Japan
  • 3 Center for Clinical Training, Toyama University Hospital, Toyama, Japan
  • 4 Uozu Shinkei Sanatorium, Uozu, Japan
  • 5 Itoigawa Clinic, Itoigawa, Japan
  • 6 Arisawabashi Hospital, Toyama, Toyama, Japan

The final, formatted version of the article will be published soon.

    Background and Objectives: Several studies have reported on the resting-state electroencephalogram (EEG) power in patients with schizophrenia, with a decrease in α (especially α2) and an increase in δ and β1 power compared with healthy control; however, reports on at-risk mental states (ARMS) are few. In this study, we measured the resting-state EEG power in ARMS, and investigated its features and the relationship between the power of the frequency bands and their diagnostic outcomes.Methods: Patients with ARMS who were not on any psychotropic medication and met the Comprehensive Assessment of At-Risk Mental State criteria were included. Patients who developed psychotic disorders were labeled as the ARMS-P group, while patients with ARMS who were followed up prospectively for more than 2 years and did not develop psychotic disorders were classified as the ARMS-NP group. EEGs were measured in the resting state, and frequencies were analyzed using standardized low-resolution brain electromagnetic tomography (sLORETA). Seven bands (δ, θ, α1, α2, β1-3) underwent analysis. The sLORETA values (current source density [CSD]) were compared between the ARMS-P and ARMS-NP groups. Clinical symptoms were assessed at the time of EEG measurements using the Positive and Negative Syndrome Scale (PANSS).Results: Of the 39 patients included (25 males, 14 females, 18.8±4.5 years old), eight developed psychotic disorders (ARMS-P). The ARMS-P group exhibited significantly higher CSD in the β1 power within areas of the left middle frontal gyrus (MFG) compared with the ARMS-NP group (best match: X=-35, Y=25, Z=50 [MNI coordinates], Area 8, CSD=2.33, p<0.05). There was a significant positive correlation between the β1/α ratio of the CSD at left MFG and the Somatic concern score measured by the PANSS. Discussion: Increased β1 power was observed in the resting EEG before the onset of psychosis and correlated with a symptom. This suggests that resting EEG power may be a useful marker for predicting future conversion to psychosis and clinical symptoms in patients with ARMS.

    Keywords: Schizophrenia, at-risk mental state, Clinical high risk, Resting state electroencephalogram, power spectrum, biomarker, Low-resolution brain electromagnetic tomography, Positive and Negative Syndrome Scale

    Received: 16 Jun 2024; Accepted: 09 Aug 2024.

    Copyright: © 2024 Higuchi, Odagiri, Tateno, Suzuki and Takahashi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yuko Higuchi, Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan

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