ArticleScientific reports2021
Comparative analysis of default mode networks in major psychiatric disorders using resting-state EEG.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 3 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Functional and effective EEG connectivity patterns in Alzheimer's disease and mild cognitive impairment: a systematic review.Frontiers in aging neuroscience · 2025Pooled it
- Beyond the label "major depressive disorder"-detailed characterization of study population matters for EEG-biomarker research.Frontiers in neuroscience · 2025Pooled it
- Exploring functional connectivity in large-scale brain networks in obsessive-compulsive disorder: a systematic review of EEG and fMRI studies.Cerebral cortex (New York, N.Y. : 1991) · 2024Pooled it
- Efficacy of brain-computer interface training with motor imagery-contingent feedback in improving upper limb function and neuroplasticity among persons with chronic stroke: a double-blinded, parallel-group, randomized controlled trial.Journal of neuroengineering and rehabilitation · 2025Trial
- Brain regulation training improves emotional competences in patients with alcohol use disorder.Social cognitive and affective neuroscience · 2024Trial
- The Relationship Between the Functional Integration and Topological Complexity of Human Electroencephalographic (EEG) Signals: Three Moderating Factors.Brain sciences · 2026Article
- Review
- Optimizing Theta Burst Stimulation Protocols: A Computational Exploration of Novel Alpha-Beta and Alpha-Gamma Frequency Couplings.Neuroinformatics · 2025Article
- Effects of sleep quality on the default mode network and on anxiety-depression symptoms in premenstrual syndrome.BMC psychiatry · 2025Article
- A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students.Diagnostics (Basel, Switzerland) · 2025Article
- Electrophysiological characteristics in adolescents with non-suicidal self-injury: an event-related potential study and source analysis.Frontiers in psychiatry · 2025Article
- The role of prefrontal-hippocampal functional connectivity in schizophrenia-related cognitive dysfunction and the thalamic ventral midline involvement:Frontiers in neuroscience · 2025Review
- Functionally annotated electrophysiological neuromarkers of healthy ageing and memory function.Human brain mapping · 2024Article
- Prediction of pharmacological treatment efficacy using electroencephalography-based salience network in patients with major depressive disorder.Frontiers in psychiatry · 2024Article
- Relationship between default mode network and resting-state electroencephalographic alpha rhythms in cognitively unimpaired seniors and patients with dementia due to Alzheimer's disease.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- The time scales of irreversibility in spontaneous brain activity are altered in obsessive compulsive disorder.Frontiers in psychiatry · 2023Article
- High-Frequency Transcranial Random Noise Stimulation Modulates Gamma-Band EEG Source-Based Large-Scale Functional Network Connectivity in Patients with Schizophrenia: A Randomized, Double-Blind, Sham-Controlled Clinical Trial.Journal of personalized medicine · 2022Article
- Unveiling the Associations between EEG Indices and Cognitive Deficits in Schizophrenia-Spectrum Disorders: A Systematic Review.Diagnostics (Basel, Switzerland) · 2022Review
- Exploring Network Properties Across Preclinical Stages of Alzheimer's Disease Using a Visual Short-Term Memory and Attention Task with High-Density Electroencephalography: A Brain-Connectome Neurophysiological Study.Journal of Alzheimer's disease : JAD · 2022Article
- Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder.Frontiers in neuroinformatics · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Default mode network (DMN) is a set of functional brain structures coherently activated when individuals are in resting-state. In this study, we constructed multi-frequency band resting-state EEG-based DMN functional network models for major psychiatric disorders to easily compare their pathophysiological characteristics. Phase-locking values (PLVs) were evaluated to quantify functional connectivity; global and nodal clustering coefficients (CCs) were evaluated to quantify global and local connectivity patterns of DMN nodes, respectively. DMNs of patients with post-traumatic stress disorder (PTSD), obsessive compulsive disorder (OCD), panic disorder, major depressive disorder (MDD), bipolar disorder, schizophrenia (SZ), mild cognitive impairment (MCI), and Alzheimer's disease (AD) were constructed relative to their demographically-matched healthy control groups. Overall DMN patterns were then visualized and compared with each other. In global CCs, SZ and AD showed hyper-clustering in the theta band; OCD, MCI, and AD showed hypo-clustering in the low-alpha band; OCD and MDD showed hypo-clustering and hyper-clustering in low-beta, and high-beta bands, respectively. In local CCs, disease-specific patterns were observed. In the PLVs, lowered theta-band functional connectivity between the left lingual gyrus and the left hippocampus was frequently observed. Our comprehensive comparisons suggest EEG-based DMN as a useful vehicle for understanding altered brain networks of major psychiatric disorders.
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