Literature DB >> 33171145

Psychotic disorders, dopaminergic agents and EEG/MEG resting-state functional connectivity: A systematic review.

Amatya Johanna Mackintosh1, Renate de Bock1, Zehwi Lim2, Valerie-Noelle Trulley3, André Schmidt2, Stefan Borgwardt4, Christina Andreou5.   

Abstract

Both dysconnectivity and dopamine hypotheses are two well researched pathophysiological models of psychosis. However, little is known about the association of dopamine dysregulation with brain functional connectivity in psychotic disorders, specifically through the administration of antipsychotic medication. In this systematic review, we summarize the existing evidence on the association of dopaminergic effects with electro- and magnetoencephalographic (EEG/MEG) resting-state brain functional connectivity assessed by sensor- as well as source-level measures. A wide heterogeneity of results was found amongst the 20 included studies with increased and decreased functional connectivity in medicated psychosis patients vs. healthy controls in widespread brain areas across all frequency bands. No systematic difference in results was seen between studies with medicated and those with unmedicated psychosis patients and very few studies directly investigated the effect of dopamine agents with a pre-post design. The reported evidence clearly calls for longitudinal EEG and MEG studies with large participant samples to directly explore the association of antipsychotic medication effects with neural network changes over time during illness progression and to ultimately support the development of new treatment strategies.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antipsychotics; Coherence; Dopamine; EEG; Electroencephalography; Functional connectivity; MEG; Magnetencephalography; Medication; Neuroleptics; Psychosis; Psychotic disorders; Resting-state; Schizophrenia; Sensor-level; Source-level; Synchronisation

Mesh:

Substances:

Year:  2020        PMID: 33171145     DOI: 10.1016/j.neubiorev.2020.10.021

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  4 in total

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Authors:  Nataliia Kozhemiako; Jun Wang; Chenguang Jiang; Zhenhe Zhou; Wei Zhu; Mei-Hua Hal; Shaun M Purcell; Jen Q Pan; Lei A Wang; Guanchen Gai; Kai Zou; Zhe Wang; Xiaoman Yu; Lin Zhou; Shen Li; Zhenglin Guo; Robert Law; James Coleman; Dimitrios Mylonas; Lu Shen; Guoqiang Wang; Shuping Tan; Shengying Qin; Hailiang Huang; Michael Murphy; Robert Stickgold; Dara Manoach
Journal:  Elife       Date:  2022-05-17       Impact factor: 8.713

2.  Editorial: Current MEG Research in Psychiatry.

Authors:  Yoji Hirano; Peter J Uhlhaas
Journal:  Front Psychiatry       Date:  2021-02-02       Impact factor: 4.157

3.  Comparative analysis of default mode networks in major psychiatric disorders using resting-state EEG.

Authors:  Kang-Min Choi; Jeong-Youn Kim; Yong-Wook Kim; Jung-Won Han; Chang-Hwan Im; Seung-Hwan Lee
Journal:  Sci Rep       Date:  2021-11-10       Impact factor: 4.379

4.  Ketamine Alters Functional Gamma and Theta Resting-State Connectivity in Healthy Humans: Implications for Schizophrenia Treatment Targeting the Glutamate System.

Authors:  Stjepan Curic; Christina Andreou; Guido Nolte; Saskia Steinmann; Stephanie Thiebes; Nenad Polomac; Moritz Haaf; Jonas Rauh; Gregor Leicht; Christoph Mulert
Journal:  Front Psychiatry       Date:  2021-06-10       Impact factor: 4.157

  4 in total

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