ArticleCerebral cortex (New York, N.Y. : 1991)2023
The EEG multiverse of schizophrenia.
Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Resting-state gamma power in schizophrenia: a systematic review and meta-analysis.Frontiers in psychiatry · 2025Pooled it
- Alpha Frequency Dysrhythmia in Treatment-Resistant Schizophrenia: Associations with EEG Background Changes, Disorganized Symptoms, and Dissociation.Biomedicines · 2026Article
- Stability-Driven Selection of EEG Connectivity Features for Psychosis Classification: A Network-Based Machine Learning Approach.CNS neuroscience & therapeutics · 2026Article
- MDEFusion: A Multi-Domain EEG Feature Fusion Network With Bidirectional Attention LSTM and Half-Split Crossover SAE for Schizophrenia Recognition.Brain and behavior · 2026Article
- Correlation of frontal lobe electroencephalogram asymmetry and cognitive prognosis in schizophrenia.World journal of psychiatry · 2026Article
- Abnormal spontaneous activity and rest-task shift in schizophrenia.Psychiatry and clinical neurosciences · 2025Article
- Periodic and Aperiodic Alterations of Resting-State EEG in Schizophrenia Spectrum Disorders: Cognitive and Clinical Insights.The European journal of neuroscience · 2025Article
- Genetic analysis of psychosis Biotypes: shared Ancestry-adjusted polygenic risk and unique genomic associations.Molecular psychiatry · 2025Article
- Resting-state EEG and MEG gamma frequencies in schizophrenia: a systematic review and exploratory power-spectrum metanalysis.Schizophrenia (Heidelberg, Germany) · 2025Review
- Alpha oscillatory dysregulation: mapping EEG oscillatory in suicidal depression.Frontiers in human neuroscience · 2025Article
- Genetic Analysis of Psychosis Biotypes: Shared Ancestry-Adjusted Polygenic Risk and Unique Genomic Associations.medRxiv : the preprint server for health sciences · 2024Article
- Microstate D as a Biomarker in Schizophrenia: Insights from Brain State Transitions.Brain sciences · 2024Article
- Testing the convergent validity, domain generality, and temporal stability of selected measures of people's tendency to explore.Nature communications · 2024Article
- EEG Techniques with Brain Activity Localization, Specifically LORETA, and Its Applicability in Monitoring Schizophrenia.Journal of clinical medicine · 2024Review
- Resting-State EEG Microstates and Power Spectrum in Borderline Personality Disorder: A High-Density EEG Study.Brain topography · 2024Article
- Alpha peak frequency affects visual performance beyond temporal resolution.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- A multivariate approach to investigate the associations of electrophysiological indices with schizophrenia clinical and functional outcome.European psychiatry : the journal of the Association of European Psychiatrists · 2023Article
- Do we really measure what we think we are measuring?iScience · 2023Article
- Are we really unconscious in "unconscious" states? Common assumptions revisited.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research on schizophrenia typically focuses on one paradigm for which clear-cut differences between patients and controls are established. Great efforts are made to understand the underlying genetical, neurophysiological, and cognitive mechanisms, which eventually may explain the clinical outcome. One tacit assumption of these "deep rooting" approaches is that paradigms tap into common and representative aspects of the disorder. Here, we analyzed the resting-state electroencephalogram (EEG) of 121 schizophrenia patients and 75 controls. Using multiple signal processing methods, we extracted 194 EEG features. Sixty-nine out of the 194 EEG features showed a significant difference between patients and controls, indicating that these features detect an important aspect of schizophrenia. Surprisingly, the correlations between these features were very low. We discuss several explanations to our results and propose that complementing "deep" with "shallow" rooting approaches might help in understanding the underlying mechanisms of the disorder.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.