EEG microstates as biomarker for psychosis in ultra-high-risk patients

被引:56
作者
de Bock, Renate [1 ,2 ]
Mackintosh, Amatya J. [1 ,2 ]
Maier, Franziska [1 ]
Borgwardt, Stefan [1 ,3 ]
Riecher-Rossler, Anita [4 ]
Andreou, Christina [2 ]
机构
[1] Univ Basel, Univ Psychiat Clin UPK Basel, Basel, Switzerland
[2] Univ Basel, Div Clin Psychol & Epidemiol, Dept Psychol, Basel, Switzerland
[3] Univ Lubeck, Dept Psychiat & Psychotherapy, Lubeck, Germany
[4] Univ Basel, Fac Med, Basel, Switzerland
关键词
CLINICAL HIGH-RISK; 1ST-EPISODE SCHIZOPHRENIA; STATE; DURATION; PREDICTION; NAIVE; INDIVIDUALS; TOPOGRAPHY; DYNAMICS; SALIENCE;
D O I
10.1038/s41398-020-00963-7
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Resting-state EEG microstates are brief (50-100 ms) periods, in which the spatial configuration of scalp global field power remains quasi-stable before rapidly shifting to another configuration. Changes in microstate parameters have been described in patients with psychotic disorders. These changes have also been observed in individuals with a clinical or genetic high risk, suggesting potential usefulness of EEG microstates as a biomarker for psychotic disorders. The present study aimed to investigate the potential of EEG microstates as biomarkers for psychotic disorders and future transition to psychosis in patients at ultra-high-risk (UHR). We used 19-channel clinical EEG recordings and orthogonal contrasts to compare temporal parameters of four normative microstate classes (A-D) between patients with first-episode psychosis (FEP;n = 29), UHR patients with (UHR-T;n = 20) and without (UHR-NT;n = 34) later transition to psychosis, and healthy controls (HC;n = 25). Microstate A was increased in patients (FEP & UHR-T & UHR-NT) compared to HC, suggesting an unspecific state biomarker of general psychopathology. Microstate B displayed a decrease in FEP compared to both UHR patient groups, and thus may represent a state biomarker specific to psychotic illness progression. Microstate D was significantly decreased in UHR-T compared to UHR-NT, suggesting its potential as a selective biomarker of future transition in UHR patients.
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页数:9
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共 60 条
  • [1] Resting-state connectivity in the prodromal phase of schizophrenia: Insights from EEG microstates
    Andreou, Christina
    Faber, Pascal L.
    Leicht, Gregor
    Schoettle, Daniel
    Polomac, Nenad
    Hanganu-Opatz, Ileana L.
    Lehmann, Dietrich
    Mulert, Christoph
    [J]. SCHIZOPHRENIA RESEARCH, 2014, 152 (2-3) : 513 - 520
  • [2] Multivariate patterns of EEG microstate parameters and their role in the discrimination of patients with schizophrenia from healthy controls
    Baradits, Mate
    Bitter, Istvan
    Czobor, Pal
    [J]. PSYCHIATRY RESEARCH, 2020, 288
  • [3] BOLD correlates of EEG topography reveal rapid resting-state network dynamics
    Britz, Juliane
    Van De Ville, Dimitri
    Michel, Christoph M.
    [J]. NEUROIMAGE, 2010, 52 (04) : 1162 - 1170
  • [4] EEG microstates of wakefulness and NREM sleep
    Brodbeck, Verena
    Kuhn, Alena
    von Wegner, Frederic
    Morzelewski, Astrid
    Tagliazucchi, Enzo
    Borisov, Sergey
    Michel, Christoph M.
    Laufs, Helmut
    [J]. NEUROIMAGE, 2012, 62 (03) : 2129 - 2139
  • [5] Cortical abnormalities in youth at clinical high-risk for psychosis: Findings from the NAPLS2 cohort
    Chung, Yoonho
    Alswede, Dana
    Addington, Jean
    Bearden, Carrie E.
    Cadenhead, Kristin
    Cornblatt, Barbara
    Mathalon, Daniel H.
    McGlashan, Thomas
    Perkins, Diana
    Seidman, Larry J.
    Tsuang, Ming
    Walker, Elaine
    Woods, Scott W.
    McEwen, Sarah
    van Erp, Theo G. M.
    Cannon, Tyrone D.
    [J]. NEUROIMAGE-CLINICAL, 2019, 23
  • [6] Electroencephalographic Resting-State Networks: Source Localization of Microstates
    Custo, Anna
    Van De Ville, Dimitri
    Wells, William M.
    Tomescu, Miralena I.
    Brunet, Denis
    Michel, Christoph M.
    [J]. BRAIN CONNECTIVITY, 2017, 7 (10) : 671 - 682
  • [7] EEG microstates are a candidate endophenotype for schizophrenia
    da Cruz, Janir Ramos
    Favrod, Ophelie
    Roinishvili, Maya
    Chkonia, Eka
    Brand, Andreas
    Mohr, Christine
    Figueiredo, Patricia
    Herzog, Michael H.
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [8] EEG Resting-State Large-Scale Brain Network Dynamics Are Related to Depressive Symptoms
    Damborska, Alena
    Tomescu, Miralena, I
    Honzirkova, Eliska
    Bartecek, Richard
    Horinkova, Jana
    Fedorova, Sylvie
    Ondrus, Simon
    Michel, Christoph M.
    [J]. FRONTIERS IN PSYCHIATRY, 2019, 10
  • [9] EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
    Delorme, A
    Makeig, S
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2004, 134 (01) : 9 - 21
  • [10] Lessons learned from the psychosis high-risk state: towards a general staging model of prodromal intervention
    Fusar-Poli, P.
    Yung, A. R.
    McGorry, P.
    van Os, J.
    [J]. PSYCHOLOGICAL MEDICINE, 2014, 44 (01) : 17 - 24