Observational studyBMC psychiatry2023
Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression.
Observational study in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Limited Efficacy of 3 mA Intensified tDCS of the Right Inferior Frontal Cortex for OCD Treatment: A Randomized, Double-Blind, Sham-Controlled Study.CNS neuroscience & therapeutics · 2026Trial
- Subtyping depression using brain-gastric electrophysiology for early prediction of antidepressant response: a multicentric clinical study.Frontiers in psychiatry · 2026Trial
- Brainwaves under medication: revealing class-specific neural signatures of psychotropic medication from 24,000 EEGs.EBioMedicine · 2026Article
- EEG Unpredictability in the Resting State of Major Depressive Disorder: A Multidomain EEG Analysis.Brain topography · 2026Article
- Correlation of physical activity with positive and negative affect and frontal lateralization in college students with depressive symptoms.Scientific reports · 2026Article
- Gamma-band cortical functional network abnormalities in late-life depression with suicidal ideation: insights from EEG graph theory and machine learning.Journal of psychiatry & neuroscience : JPN · 2026Article
- Enhanced diagnostics for generalized anxiety disorder: leveraging differential channel and functional connectivity features based on frontal EEG signals.Scientific reports · 2024Article
- Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures.bioRxiv : the preprint server for biology · 2024Article
- Resting-state EEG features modulated by depressive state in healthy individuals: insights from theta PSD, theta-beta ratio, frontal-parietal PLV, and sLORETA.Frontiers in human neuroscience · 2024Article
- Resting-State Alpha Activity in the Frontal and Occipital Lobes and Assessment of Cognitive Impairment in Depression Patients.Psychology research and behavior management · 2024Article
- Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype.
methodThis is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls' EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC).
resultsWe found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients' FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders.
conclusionsThe FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG.
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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.