ArticleFrontiers in psychiatry2020
Altered Cortical Functional Networks in Patients With Schizophrenia and Bipolar Disorder: A Resting-State Electroencephalographic Study.
Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Resting-state gamma power in schizophrenia: a systematic review and meta-analysis.Frontiers in psychiatry · 2025Pooled it
- Neural oscillation in bipolar disorder: a systematic review of resting-state electroencephalography studies.Frontiers in neuroscience · 2024Pooled it
- High-density EEG study in patients with schizophrenia treated with cariprazine.The international journal of neuropsychopharmacology · 2026Article
- Inapparent maternal ZIKV infection impacts fetal brain development and postnatal behavior.PLoS pathogens · 2026Article
- EEG-based detection of early functional brain changes in subjective cognitive decline: a prospective cohort study.Alzheimer's research & therapy · 2025Article
- Tracking dynamic EEG connectivity in schizophrenia and bipolar disorder.Scientific reports · 2025Article
- Periodic and Aperiodic Alterations of Resting-State EEG in Schizophrenia Spectrum Disorders: Cognitive and Clinical Insights.The European journal of neuroscience · 2025Article
- Resting-state EEG and MEG gamma frequencies in schizophrenia: a systematic review and exploratory power-spectrum metanalysis.Schizophrenia (Heidelberg, Germany) · 2025Review
- A Virtual Reality Cognitive Stimulation Program as an Effective Tool Against Residual/Prodromal Depressive Symptoms in Bipolar Disorders.Journal of clinical medicine · 2024Article
- Abnormal Spatial and Temporal Overlap of Time-Varying Brain Functional Networks in Patients with Schizophrenia.Brain sciences · 2023Article
- Prognostic associations of cortical gyrification in minimally medicated schizophrenia in an early intervention setting.Schizophrenia (Heidelberg, Germany) · 2022Article
- Frequency-Specific Analysis of the Dynamic Reconfiguration of the Brain in Patients with Schizophrenia.Brain sciences · 2022Article
- Alteration of cortical functional networks in mood disorders with resting-state electroencephalography.Scientific reports · 2022Article
- Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography.Frontiers in neural circuits · 2022Article
- Ketamine Alters Functional Gamma and Theta Resting-State Connectivity in Healthy Humans: Implications for Schizophrenia Treatment Targeting the Glutamate System.Frontiers in psychiatry · 2021Article
- Pareidolia in Schizophrenia and Bipolar Disorder.Frontiers in psychiatry · 2021Article
- Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPathologies of schizophrenia and bipolar disorder have been poorly understood. Brain network analysis could help understand brain mechanisms of schizophrenia and bipolar disorder. This study investigates the source-level brain cortical networks using resting-state electroencephalography (EEG) in patients with schizophrenia and bipolar disorder.
methodsResting-state EEG was measured in 38 patients with schizophrenia, 34 patients with bipolar disorder type I, and 30 healthy controls. Graph theory based source-level weighted functional networks were evaluated: strength, clustering coefficient (CC), path length (PL), and efficiency in six frequency bands.
resultsAt the global level, patients with schizophrenia or bipolar disorder showed higher strength, CC, and efficiency, and lower PL in the theta band, compared to healthy controls. At the nodal level, patients with schizophrenia or bipolar disorder showed higher CCs, mostly in the frontal lobe for the theta band. Particularly, patients with schizophrenia showed higher nodal CCs in the left inferior frontal cortex and the left ascending ramus of the lateral sulcus compared to patients with bipolar disorder. In addition, the nodal-level theta band CC of the superior frontal gyrus and sulcus (cognition-related region) correlated with positive symptoms and social and occupational functioning scale (SOFAS) scores in the schizophrenia group, while that of the middle frontal gyrus (emotion-related region) correlated with SOFAS scores in the bipolar disorder group.
conclusionsAltered cortical networks were revealed and these alterations were significantly correlated with core pathological symptoms of schizophrenia and bipolar disorder. These source-level cortical network indices could be promising biomarkers to evaluate patients with schizophrenia and bipolar disorder.
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