ArticleNeuroImage. Clinical2018
Pre-treatment EEG signal variability is associated with treatment success in depression.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Resting and TMS-EEG markers of treatment response in major depressive disorder: A systematic review.Frontiers in human neuroscience · 2022Pooled it
- Neural complexity EEG biomarkers of rapid and post-rapid ketamine effects in late-life treatment-resistant depression: a randomized control trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Trial
- Trial
- Cortical Connectivity Moderators of Antidepressant vs Placebo Treatment Response in Major Depressive Disorder: Secondary Analysis of a Randomized Clinical Trial.JAMA psychiatry · 2020Trial
- A multiscale spatio-temporal convolutional attention network for depressive disorder diagnosis via coarse-grained signal reconstruction based on EEG.Scientific reports · 2026Article
- EEG entropy modulation as a biomarker of emotion regulation and resilience.IBRO neuroscience reports · 2025Review
- Research on Depression Recognition Model and Its Temporal Characteristics Based on Multiscale Entropy of EEG Signals.Entropy (Basel, Switzerland) · 2025Article
- Quantitative and qualitative electroencephalography in the diagnosis and monitoring of depression. A modern approach to clinical neurophysiology.Frontiers in human neuroscience · 2025Review
- Resting-State Electroencephalogram Complexity Is Associated With Oral Ketamine Treatment Response: A Bayesian Analysis of Lempel-Ziv Complexity and Multiscale Entropy.Brain and behavior · 2024Article
- One size does not fit all: notable individual variation in brain activity correlates of antidepressant treatment response.Frontiers in psychiatry · 2024Article
- Fractal Analysis of Electrophysiological Signals to Detect and Monitor Depression: What We Know So Far?Advances in neurobiology · 2024Article
- Increased noise relates to abnormal excitation-inhibition balance in schizophrenia: a combined empirical and computational study.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Control systems theory revisited: new insights on the brain clocks of time-to-action.Frontiers in neuroscience · 2023Article
- Classifying Driving Fatigue by Using EEG Signals.Computational intelligence and neuroscience · 2022Article
- Electroencephalography complexity in resting and task states in adults with attention-deficit/hyperactivity disorder.Brain communications · 2022Article
- Low EEG Gamma Entropy and Glucose Hypometabolism After Corpus Callosotomy Predicts Seizure Outcome After Subsequent Surgery.Frontiers in neurology · 2022Article
- Signal complexity indicators of health status in clinical EEG.Scientific reports · 2021Article
- Psychiatric Neural Networks and Precision Therapeutics by Machine Learning.Biomedicines · 2021Review
- Brain Dynamics Altered by Photic Stimulation in Patients with Alzheimer's Disease and Mild Cognitive Impairment.Entropy (Basel, Switzerland) · 2021Article
- Differences in Power Spectral Densities and Phase Quantities Due to Processing of EEG Signals.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious work suggests that major depressive disorder (MDD) is associated with disturbances in global connectivity among brain regions, as well as local connectivity within regions. However, the relative importance of these global versus local changes for successful antidepressant treatment is unknown. We used multiscale entropy (MSE), a measure of brain signal variability, to examine how the propensity for local (fine scale MSE) versus global (coarse scale MSE) neural processing measured prior to antidepressant treatment is related to subsequent treatment response.
methodsWe collected resting-state EEG activity during eyes-open and closed conditions from unmedicated individuals with MDD prior to antidepressant pharmacotherapy (N = 36) as well as from non-depressed controls (N = 36). Treatment response was assessed after 12 weeks of treatment using the Montgomery-Åsberg Depression Rating Scale (MADRS), at which time participants with MDD were characterized as either responders (≥ 50% MADRS decrease) or non-responders. MSE was calculated from baseline EEG, and compared between controls, future treatment responders and non-responders. Putative interactions with the well-documented age effect on signal variability (increased reliance on local neural communication with increasing age, indexed by greater finer-scale variability) were assessed.
resultsOnly in responders, we found that reduced MSE at fine temporal scales (especially fronto-centrally) and increased MSE diffusely at coarser temporal scales was related to the magnitude of the antidepressant response. In controls and MDD non-responders, but not MDD responders, there was an increase in MSE with age at fine temporal scales and a decrease in MSE with age at coarse temporal scales.
conclusionOur results suggest that an increased propensity toward global processing, indexed by greater MSE at coarser timescales, at baseline appears to facilitate eventual antidepressant treatment response.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.