Electrophysiological correlates of visual backward masking in patients with bipolar disorder

Garobbio, Simona; Roinishvili, Maya; Favrod, Ophélie; Cruz, Janir Ramos da; Chkonia, Eka; Brand, Andreas; Herzog, Michael H.

doi:10.1101/2020.05.12.090407

Cited by 3 publications

(4 citation statements)

References 77 publications

(95 reference statements)

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“…Resting microstate dynamics data of 27 patients and 27 controls have already been published in previous work 6 . Masking and ERP data of 89 patients, 39 siblings, and 63 controls have already been published [47][48][49] . Patients with schizophrenia and their siblings were recruited from the Tbilisi Mental Health Hospital or the psycho-social rehabilitation center.…”

Section: Methodsmentioning

confidence: 99%

EEG microstates are a candidate endophenotype for schizophrenia

et al. 2020

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Electroencephalogram microstates are recurrent scalp potential configurations that remain stable for around 90 ms. The dynamics of two of the four canonical classes of microstates, commonly labeled as C and D, have been suggested as a potential endophenotype for schizophrenia. For endophenotypes, unaffected relatives of patients must show abnormalities compared to controls. Here, we examined microstate dynamics in resting-state recordings of unaffected siblings of patients with schizophrenia, patients with schizophrenia, healthy controls, and patients with first episodes of psychosis (FEP). Patients with schizophrenia and their siblings showed increased presence of microstate class C and decreased presence of microstate class D compared to controls. No difference was found between FEP and chronic patients. Our findings suggest that the dynamics of microstate classes C and D are a candidate endophenotype for schizophrenia.

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Section: Methodsmentioning

confidence: 99%

EEG microstates are a candidate endophenotype for schizophrenia

et al. 2020

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“…A previous study indicated that visual backward masking deficiency is not unique to schizophrenia, but a larger range of functional psychosis. Both SCH and BD may suffer insufficient objective strengthening (18). A recent study showed that particular neurological functions can distinguish SCH from BD and also indicate a presumptive endogenous phenotype that can distinguish the genetic susceptibility of SCH from another severe psychological disease (19).…”

Section: Introductionmentioning

confidence: 99%

Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder

2021

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Schizophrenia (SCH) and bipolar disorder (BD) are characterized by many types of symptoms, damaged cognitive function, and abnormal brain connections. The microstates are considered to be the cornerstones of the mental states shown in EEG data. In our study, we investigated the use of microstates as biomarkers to distinguish patients with bipolar disorder from those with schizophrenia by analyzing EEG data measured in an eyes-closed resting state. The purpose of this article is to provide an electron directional physiological explanation for the observed brain dysfunction of schizophrenia and bipolar disorder patients.Methods: We used microstate resting EEG data to explore group differences in the duration, coverage, occurrence, and transition probability of 4 microstate maps among 20 SCH patients, 26 BD patients, and 35 healthy controls (HCs).Results: Microstate analysis revealed 4 microstates (A–D) in global clustering across SCH patients, BD patients, and HCs. The samples were chosen to be matched. We found the greater presence of microstate B in BD patients, and the less presence of microstate class A and B, the greater presence of microstate class C, and less presence of D in SCH patients. Besides, a greater frequent switching between microstates A and B and between microstates B and A in BD patients than in SCH patients and HCs and less frequent switching between microstates C and D and between microstates D and C in BD patients compared with SCH patients.Conclusion: We found abnormal features of microstate A, B in BD patients and abnormal features of microstate A, B, C, and D in SCH patients. These features may indicate the potential abnormalities of SCH patients and BD patients in distributing neural resources and influencing opportune transitions between different states of activity.

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“…All participants took part in a battery of tests comprising perceptual and cognitive tasks as well as EEG recordings. Data of 101 patients and 75 controls have already been published in different contexts 13,[41][42][43] , while data of the other 20 participants have not been published yet. Patients were recruited from the Tbilisi Mental Health Hospital or the psycho-social rehabilitation center.…”

Section: Methods Participantsmentioning

confidence: 99%

“…wrote the paper. Data of 101 patients and 75 controls have already been published in different contexts 13,48–50 . The code that support the findings of this study are available upon request.…”

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confidence: 99%

The EEG multiverse of schizophrenia

Cruz

Gordillo

Chkonia

et al. 2020

Preprint

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Research on schizophrenia typically focuses on one paradigm, for which clear-cut abnormalities between patients and controls are established. Great care is taken to understand the underlying genetical, neurophysiological, and cognitive mechanisms, which eventually may explain the clinical outcome. This approach has led to many important hypotheses about the causes of schizophrenia. One tacit assumption of these deep rooting approaches is that paradigms tap into common and representative characteristics of the disease. Here, we analyzed resting-state electroencephalogram (EEG) of 121 schizophrenia patients and 75 age-matched controls, from which we extracted 194 features. Sixty-nine of these features showed significant group differences with medium to large effect sizes, indicating important abnormalities. To understand to what extent these features tap into the same aspects of the disorder, we computed both Pearson and partial least squares correlations. Surprisingly, correlations were very low, except for very similar features, where correlations were high, suggesting that most features are sensitive to different abnormalities. Using partial least squares regression, we show that combining the 69 features increases predictability of clinical outcomes by more than a factor of 5. We propose that complementing deep with shallow rooting approaches, where many roughly independent features are extracted from one paradigm (or several paradigms), will strongly improve diagnosis and potential treatment of schizophrenia.

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Electrophysiological correlates of visual backward masking in patients with bipolar disorder

Cited by 3 publications

References 77 publications

EEG microstates are a candidate endophenotype for schizophrenia

EEG microstates are a candidate endophenotype for schizophrenia

Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder

The EEG multiverse of schizophrenia

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