Literature DB >> 24962438

Deviant dynamics of EEG resting state pattern in 22q11.2 deletion syndrome adolescents: A vulnerability marker of schizophrenia?

Miralena I Tomescu1, Tonia A Rihs2, Robert Becker2, Juliane Britz2, Anna Custo2, Frédéric Grouiller3, Maude Schneider4, Martin Debbané5, Stephan Eliez4, Christoph M Michel2.   

Abstract

Previous studies have repeatedly found altered temporal characteristics of EEG microstates in schizophrenia. The aim of the present study was to investigate whether adolescents affected by the 22q11.2 deletion syndrome (22q11DS), known to have a 30 fold increased risk to develop schizophrenia, already show deviant EEG microstates. If this is the case, temporal alterations of EEG microstates in 22q11DS individuals could be considered as potential biomarkers for schizophrenia. We used high-density (204 channel) EEG to explore between-group microstate differences in 30 adolescents with 22q11DS and 28 age-matched controls. We found an increased presence of one microstate class (class C) in the 22q11DS adolescents with respect to controls that was associated with positive prodromal symptoms (hallucinations). A previous across-age study showed that the class C microstate was more present during adolescence and a combined EEG-fMRI study associated the class C microstate with the salience resting state network, a network known to be dysfunctional in schizophrenia. Therefore, the increased class C microstates could be indexing the increased risk of 22q11DS individuals to develop schizophrenia if confirmed by our ongoing longitudinal study comparing both the adult 22q11DS individuals with and without schizophrenia, as well as schizophrenic individuals with and without 22q11DS.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  22q11DS; EEG microstates; Endophenotype; Prodromal symptoms; VCFS

Mesh:

Substances:

Year:  2014        PMID: 24962438     DOI: 10.1016/j.schres.2014.05.036

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  45 in total

1.  EEG microstates during different phases of Transcendental Meditation practice.

Authors:  Pascal L Faber; Frederick Travis; Patricia Milz; Niyazi Parim
Journal:  Cogn Process       Date:  2017-04-27

Review 2.  Understanding the pediatric psychiatric phenotype of 22q11.2 deletion syndrome.

Authors:  Ania M Fiksinski; Maude Schneider; Clodagh M Murphy; Marco Armando; Stefano Vicari; Jaume M Canyelles; Doron Gothelf; Stephan Eliez; Elemi J Breetvelt; Celso Arango; Jacob A S Vorstman
Journal:  Am J Med Genet A       Date:  2018-09-08       Impact factor: 2.802

3.  Electroencephalographic Resting-State Networks: Source Localization of Microstates.

Authors:  Anna Custo; Dimitri Van De Ville; William M Wells; Miralena I Tomescu; Denis Brunet; Christoph M Michel
Journal:  Brain Connect       Date:  2017-11-17

Review 4.  Microstates in resting-state EEG: current status and future directions.

Authors:  Arjun Khanna; Alvaro Pascual-Leone; Christoph M Michel; Faranak Farzan
Journal:  Neurosci Biobehav Rev       Date:  2014-12-17       Impact factor: 8.989

5.  Multimodal investigation of triple network connectivity in patients with 22q11DS and association with executive functions.

Authors:  Maria C Padula; Marie Schaer; Elisa Scariati; Johanna Maeder; Maude Schneider; Stephan Eliez
Journal:  Hum Brain Mapp       Date:  2017-01-24       Impact factor: 5.038

6.  Microstate feature fusion for distinguishing AD from MCI.

Authors:  Yupan Shi; Qinying Ma; Chunyu Feng; Mingwei Wang; Hualong Wang; Bing Li; Jiyu Fang; Shaochen Ma; Xin Guo; Tongliang Li
Journal:  Health Inf Sci Syst       Date:  2022-07-26

Review 7.  Long-range dysconnectivity in frontal and midline structures is associated to psychosis in 22q11.2 deletion syndrome.

Authors:  E Scariati; M C Padula; M Schaer; S Eliez
Journal:  J Neural Transm (Vienna)       Date:  2016-04-19       Impact factor: 3.575

8.  Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics.

Authors:  Han Wang; Kun Xie; Li Xie; Xiang Li; Meng Li; Cheng Lyu; Hanbo Chen; Yaowu Chen; Xuesong Liu; Joe Tsien; Tianming Liu
Journal:  Brain Topogr       Date:  2018-10-19       Impact factor: 3.020

9.  Large-Scale Circuitry Interactions Upon Earthquake Experiences Revealed by Recurrent Neural Networks.

Authors:  Han Wang; Kun Xie; Zhichao Lian; Yan Cui; Yaowu Chen; Jing Zhang; Leo Xie; Joe Tsien; Tianming Liu
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-10-05       Impact factor: 3.802

10.  Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data.

Authors:  Ravichandran Rajkumar; Ezequiel Farrher; Jörg Mauler; Praveen Sripad; Cláudia Régio Brambilla; Elena Rota Kops; Jürgen Scheins; Jürgen Dammers; Christoph Lerche; Karl-Josef Langen; Hans Herzog; Bharat Biswal; N Jon Shah; Irene Neuner
Journal:  Hum Brain Mapp       Date:  2018-10-27       Impact factor: 5.038

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