Literature DB >> 31704371

Electrophysiological correlates of visual backward masking in patients with major depressive disorder.

Ophélie Favrod1, Janir R da Cruz2, Maya Roinishvili3, Ekaterine Berdzenishvili4, Andreas Brand5, Patrícia Figueiredo6, Michael H Herzog5, Eka Chkonia7.   

Abstract

Depression and schizophrenia are two psychiatric diseases with high co-morbidity. For this reason, it is important to find sensitive endophenotypes, which may disentangle the two disorders. The Shine-Through paradigm, a visual backward masking task, is a potential endophenotype for schizophrenia. Masking is strongly deteriorated in schizophrenia patients, which is reflected in reduced EEG amplitudes. Here, we tested whether masking deficits and associated EEG changes are also found in patients with major depressive disorder. First, we replicated previous findings showing that depressive patients exhibit, at most, only weak masking deficits. Second, we found that the EEG amplitudes of depressive patients were reduced compared to controls and slightly increased compared to schizophrenia patients. As a secondary analysis, we compared the performance in the masking paradigm with three cognitive tasks, namely: the Wisconsin card sorting test, a verbal fluency test and a degraded continuous performance test. Performance in all but the verbal fluency test could discriminate schizophrenia from depression.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Endophenotype of schizophrenia; Event-related potential; Global field power; N1 component

Year:  2019        PMID: 31704371     DOI: 10.1016/j.pscychresns.2019.111004

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


  4 in total

1.  Neural Compensation Mechanisms of Siblings of Schizophrenia Patients as Revealed by High-Density EEG.

Authors:  Janir R da Cruz; Albulena Shaqiri; Maya Roinishvili; Ophélie Favrod; Eka Chkonia; Andreas Brand; Patrícia Figueiredo; Michael H Herzog
Journal:  Schizophr Bull       Date:  2020-07-08       Impact factor: 9.306

2.  EEG microstates are a candidate endophenotype for schizophrenia.

Authors:  Patrícia Figueiredo; Michael H Herzog; Janir Ramos da Cruz; Ophélie Favrod; Maya Roinishvili; Eka Chkonia; Andreas Brand; Christine Mohr
Journal:  Nat Commun       Date:  2020-06-18       Impact factor: 14.919

3.  Embedded figures in schizophrenia: A main deficit but no specificity.

Authors:  Ophélie Favrod; Andreas Brand; Eka Berdzenishvili; Eka Chkonia; Michel Akselrod; Johan Wagemans; Michael H Herzog; Maya Roinishvili
Journal:  Schizophr Res Cogn       Date:  2021-12-13

Review 4.  Visual system assessment for predicting a transition to psychosis.

Authors:  Alexander Diamond; Steven M Silverstein; Brian P Keane
Journal:  Transl Psychiatry       Date:  2022-08-29       Impact factor: 7.989

  4 in total

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