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

Bock, Renate de; Mackintosh, Amatya; Maier, Franziska; Borgwardt, Stefan; Riecher-Rössler, Anita; Andreou, Christina

doi:10.1038/s41398-020-00963-7

Cited by 59 publications

(45 citation statements)

References 60 publications

(89 reference statements)

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“…However, inclusion of medicated schizophrenia patients with an average illness duration of 10.5 years in the latter study could again explain the difference in findings. This is in line with the recent suggestion that microstate B might be a specific state biomarker for psychotic illness progression (36).…”

Section: Discussionsupporting

confidence: 92%

“…This finding is underlined by a decrease of transitions from microstate C to A in mFEP compared to uFEP. Previous studies in unmedicated patients have reported an increase in microstate A compared to healthy controls (19,30,36,38). Here, we show a decrease in this class in medicated patients, suggesting a beneficial association of antipsychotics with microstate A. Converging with our results, a decrease of microstate A was observed in medicated first-episode patients compared to healthy controls (34) and microstate A was positively correlated with psychopathological symptoms such as depression (28) and negative symptoms of the avolition-apathy domain (33) in patients with psychotic disorders.…”

Section: Discussionmentioning

confidence: 96%

“…This could explain why no differences in microstate D were observed. However, there is also an alternative explanation: We previously suggested that microstate D serves as a trait marker for psychotic disorders (36) in which case no effects of medication would be expected. Furthermore, a study by da Cruz et al (40) suggested microstate D as endophenotype for psychosis in non-affected siblings of schizophrenia patients.…”

Section: Discussionmentioning

confidence: 99%

“…This approach has been suggested for major depressive disorders and attention deficit disorders [for a review see Olbrich et al (64)]. EEG resting-state microstates are particularly suited for this purpose, given that they have been suggested to be promising candidate biomarkers in psychotic disorders (32,36,40).…”

Section: Discussionmentioning

confidence: 99%

“…Studies using simultaneous EEG-fMRI methods have correlated microstate classes to different resting-state networks (25,26). Furthermore, abnormal patterns have been described in various mental conditions (27)(28)(29)(30), most notably in psychotic disorders: Microstate differences across all classes were found for medicated (31)(32)(33)(34)(35), as well as medication-naïve patients with psychotic disorders (30,(36)(37)(38) compared to healthy controls, as well as patients in the high-risk state of psychosis (31,36,39). Two recent meta-analyses found increased occurrence of microstate C and decreased duration of microstate D to be consistently reported across studies in medicated as well as medication-naïve patients with psychotic disorders (40,41).…”

Section: Introductionmentioning

confidence: 99%

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EEG Microstate Differences in Medicated vs. Medication-Naïve First-Episode Psychosis Patients

et al. 2020

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There has been considerable interest in the role of synchronous brain activity abnormalities in the pathophysiology of psychotic disorders and their relevance for treatment; one index of such activity are EEG resting-state microstates. These reflect electric field configurations of the brain that persist over 60–120 ms time periods. A set of quasi-stable microstates classes A, B, C, and D have been repeatedly identified across healthy participants. Changes in microstate parameters coverage, duration and occurrence have been found in medication-naïve as well as medicated patients with psychotic disorders compared to healthy controls. However, to date, only two studies have directly compared antipsychotic medication effects on EEG microstates either pre- vs. post-treatment or between medicated and unmedicated chronic schizophrenia patients. The aim of this study was therefore to directly compare EEG resting-state microstates between medicated and medication-naïve (untreated) first-episode (FEP) psychosis patients (mFEP vs. uFEP). We used 19-channel clinical EEG recordings to compare temporal parameters of four prototypical microstate classes (A–D) within an overall sample of 47 patients (mFEP n = 17; uFEP n = 30). The results demonstrated significant decreases of microstate class A and significant increases of microstate class B in mFEP compared to uFEP. No significant differences between groups were found for microstate classes C and D. Further studies are needed to replicate these results in longitudinal designs that assess antipsychotic medication effects on neural networks at the onset of the disorder and over time during illness progression. As treatment response and compliance in FEP patients are relatively low, such studies could contribute to better understand treatment outcomes and ultimately improve treatment strategies.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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EEG Microstate Differences in Medicated vs. Medication-Naïve First-Episode Psychosis Patients

et al. 2020

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Utilization of EEG microstates as a prospective biomarker for assessing the impact of ketogenic diet in GLUT1-DS

Chen,

Jin,

Lin

2024

Neurol Sci

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Resting‐State EEG Microstates Parallel Age‐Related Differences in Allocentric Spatial Working Memory Performance

et al. 2021

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Alterations of resting-state EEG microstates have been associated with various neurological disorders and behavioral states. Interestingly, age-related differences in EEG microstate organization have also been reported, and it has been suggested that resting-state EEG activity may predict cognitive capacities in healthy individuals across the lifespan. In this exploratory study, we performed a microstate analysis of resting-state brain activity and tested allocentric spatial working memory performance in healthy adult individuals: twenty 25–30-year-olds and twenty-five 64–75-year-olds. We found a lower spatial working memory performance in older adults, as well as age-related differences in the five EEG microstate maps A, B, C, C′ and D, but especially in microstate maps C and C′. These two maps have been linked to neuronal activity in the frontal and parietal brain regions which are associated with working memory and attention, cognitive functions that have been shown to be sensitive to aging. Older adults exhibited lower global explained variance and occurrence of maps C and C′. Moreover, although there was a higher probability to transition from any map towards maps C, C′ and D in young and older adults, this probability was lower in older adults. Finally, although age-related differences in resting-state EEG microstates paralleled differences in allocentric spatial working memory performance, we found no evidence that any individual or combination of resting-state EEG microstate parameter(s) could reliably predict individual spatial working memory performance. Whether the temporal dynamics of EEG microstates may be used to assess healthy cognitive aging from resting-state brain activity requires further investigation.

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

Cited by 59 publications

References 60 publications

EEG Microstate Differences in Medicated vs. Medication-Naïve First-Episode Psychosis Patients

EEG Microstate Differences in Medicated vs. Medication-Naïve First-Episode Psychosis Patients

Utilization of EEG microstates as a prospective biomarker for assessing the impact of ketogenic diet in GLUT1-DS

Resting‐State EEG Microstates Parallel Age‐Related Differences in Allocentric Spatial Working Memory Performance

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