ArticleSensors (Basel, Switzerland)2021
Analysis of Default Mode Network in Social Anxiety Disorder: EEG Resting-State Effective Connectivity Study.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- How Does Virtual Reality Exposure Treatment Change the Brain Function of Acrophobia Patients? A Randomized Controlled Trial.Depression and anxiety · 2025Trial
- Inter-individual variability in neural response to low doses of LSD.Translational psychiatry · 2024Trial
- Decoding Transdiagnostic Subtypes in Emotional Disorders.CNS neuroscience & therapeutics · 2026Article
- Predicting comorbid anxiety in adolescents with major depressive disorder: an EEG-based machine learning approach with SHAP interpretability.Translational psychiatry · 2026Article
- Phase synchronization alterations of EEG oscillations during emotional video processing in depression and anxiety: a transdiagnostic study.European archives of psychiatry and clinical neuroscience · 2026Article
- A novel deep learning model for objective quantification of generalized anxiety disorder severity using EEG functional connectivity.Frontiers in psychiatry · 2026Article
- Baseline normalization choices inflate classification performance in wearable health monitoring: quantification and mitigation strategies.Frontiers in digital health · 2026Article
- Shared and unique lifetime stressor characteristics and network connectivity predict adolescent anxiety and depression.bioRxiv : the preprint server for biology · 2025Article
- Neural Pathways of Visual Face Recognition Immediately After Birth.Life (Basel, Switzerland) · 2025Article
- Exploring urban mental health using mobile EEG - a systematic review.PLOS mental health · 2025Article
- A Comparative Study of Causality Detection Methods in Root Cause Diagnosis: From Industrial Processes to Brain Networks.Sensors (Basel, Switzerland) · 2024Article
- Prolonged Disease Course Leads to Impaired Brain Function in Anxiety Disorder: A Resting State EEG Study.Neuropsychiatric disease and treatment · 2024Article
- Functional excitation-inhibition ratio for social anxiety analysis and severity assessment.Frontiers in psychiatry · 2024Article
- Alterations in the topological organization of the default-mode network in Tourette syndrome.BMC neurology · 2023Article
- Rumination as a Transdiagnostic Phenomenon in the 21st Century: The Flow Model of Rumination.Brain sciences · 2023Review
- Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures.Frontiers in psychiatry · 2023Article
- Spatial-temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram.Human brain mapping · 2022Article
- Improving EEG-Based Driver Distraction Classification Using Brain Connectivity Estimators.Sensors (Basel, Switzerland) · 2022Article
- Aberrated Multidimensional EEG Characteristics in Patients with Generalized Anxiety Disorder: A Machine-Learning Based Analysis Framework.Sensors (Basel, Switzerland) · 2022Article
- Utility of Cognitive Neural Features for Predicting Mental Health Behaviors.Sensors (Basel, Switzerland) · 2022Article
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4 authors.
Funding
Abstract
Recent brain imaging findings by using different methods (e.g., fMRI and PET) have suggested that social anxiety disorder (SAD) is correlated with alterations in regional or network-level brain function. However, due to many limitations associated with these methods, such as poor temporal resolution and limited number of samples per second, neuroscientists could not quantify the fast dynamic connectivity of causal information networks in SAD. In this study, SAD-related changes in brain connections within the default mode network (DMN) were investigated using eight electroencephalographic (EEG) regions of interest. Partial directed coherence (PDC) was used to assess the causal influences of DMN regions on each other and indicate the changes in the DMN effective network related to SAD severity. The DMN is a large-scale brain network basically composed of the mesial prefrontal cortex (mPFC), posterior cingulate cortex (PCC)/precuneus, and lateral parietal cortex (LPC). The EEG data were collected from 88 subjects (22 control, 22 mild, 22 moderate, 22 severe) and used to estimate the effective connectivity between DMN regions at different frequency bands: delta (1-3 Hz), theta (4-8 Hz), alpha (8-12 Hz), low beta (13-21 Hz), and high beta (22-30 Hz). Among the healthy control (HC) and the three considered levels of severity of SAD, the results indicated a higher level of causal interactions for the mild and moderate SAD groups than for the severe and HC groups. Between the control and the severe SAD groups, the results indicated a higher level of causal connections for the control throughout all the DMN regions. We found significant increases in the mean PDC in the delta (
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