ArticleFrontiers in human neuroscience2016
Depression-Related Brain Connectivity Analyzed by EEG Event-Related Phase Synchrony Measure.
Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain.Scientific reports · 2019Trial
- Pro-inflammatory markers interact with spontaneous theta oscillations to predict depression among adolescents.Brain, behavior, and immunity · 2026Article
- Resting-State EEG Functional Connectivity in Young Adults With Clinically Diagnosed Generalized Anxiety Disorder and Self-Reported Habitual Short Sleep: An Alpha-Band Network Analysis.Brain and behavior · 2026Article
- EEG-based brain connectivity and sentiment analysis from smartphone social communication: insights into remitted major depressive disorder among adolescents.NPP - digital psychiatry and neuroscience · 2025Article
- The relationship between resting EEG features and physical exercise among university students with depressive symptoms.Scientific reports · 2025Article
- Electroencephalography Alpha Traveling Waves as Early Predictors of Treatment Response in Major Depressive Episodes: Insights from Intermittent Photic Stimulation.Biomedicines · 2025Article
- Brainwave Activity Localization, Mood Symptoms, and Balance Impairment in a Male South African Rugby Player With Persisting Symptoms After Concussion: A Case Report.Clinical case reports · 2025Article
- Derangetropy in Probability Distributions and Information Dynamics.Entropy (Basel, Switzerland) · 2024Article
- Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures.bioRxiv : the preprint server for biology · 2024Article
- An EPR study of the cognitive processes underlying the impact of self-relevant information on emotional word processing.BMC psychology · 2024Article
- Development of Artificial Intelligence for Determining Major Depressive Disorder Based on Resting-State EEG and Single-Pulse Transcranial Magnetic Stimulation-Evoked EEG Indices.Journal of personalized medicine · 2024Article
- Machine Learning Techniques Reveal Aberrated Multidimensional EEG Characteristics in Patients with Depression.Brain sciences · 2023Article
- A review of critical brain oscillations in depression and the efficacy of transcranial magnetic stimulation treatment.Frontiers in psychiatry · 2023Review
- The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research.Biomedicines · 2022Review
- The sleep EEG envelope is a novel, neuronal firing-based human biomarker.Scientific reports · 2022Article
- Temporal and Spatial Dynamics of EEG Features in Female College Students with Subclinical Depression.International journal of environmental research and public health · 2022Article
- EEG theta and beta bands as brain oscillations for different knee osteoarthritis phenotypes according to disease severity.Scientific reports · 2022Observational
- Evaluating the Different Stages of Parkinson's Disease Using Electroencephalography With Holo-Hilbert Spectral Analysis.Frontiers in aging neuroscience · 2022Article
- Mindfulness-Based Cognitive Therapy in Recurrent MDD Patients With Residual Symptoms: Alterations in Resting-State Theta Oscillation Dynamics Associated With Changes in Depression and Rumination.Frontiers in psychiatry · 2022Article
- [Study on classification and identification of depressed patients and healthy people among adolescents based on optimization of brain characteristics of network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Article
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6 authors.
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Abstract
This study is to examine changes of functional connectivity in patients with depressive disorder using synchronous brain activity. Event-related potentials (ERPs) were acquired during a visual oddball task in 14 patients with depressive disorder and 19 healthy controls. Electroencephalogram (EEG) recordings were analyzed using event-related phase coherence (ERPCOH) to obtain the functional network. Alteration of the phase synchronization index (PSI) of the functional network was investigated. Patients with depression showed a decreased number of significant electrode pairs in delta phase synchronization, and an increased number of significant electrode pairs in theta, alpha and beta phase synchronization, compared with controls. Patients with depression showed lower target-dependent PSI increment in the frontal-parietal/temporal/occipital electrode pairs in delta-phase synchronization than healthy participants. However, patients with depression showed higher target-dependent PSI increments in theta band in the prefrontal/frontal and frontal-temporal electrode pairs, higher PSI increments in alpha band in the prefrontal pairs and higher increments of beta PSI in the central and right frontal-parietal pairs than controls. It implied that the decrease in delta PSI activity in major depression may indicate impairment of the connection between the frontal and parietal/temporal/occipital regions. The increase in theta, alpha and beta PSI in the frontal/prefrontal sites might reflect the compensatory mechanism to maintain normal cognitive performance. These findings may provide a foundation for a new approach to evaluate the effectiveness of therapeutic strategies for depression.
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