ReviewBiological psychiatry2015
Multimodal approaches to define network oscillations in depression.
Review in Biological psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses 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
43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.
- Transcranial alternating current stimulation (tACS): from basic mechanisms towards first applications in psychiatry.European archives of psychiatry and clinical neuroscience · 2021Pooled it
- Assessing the Effects of Continuous Theta Burst Stimulation Over the Dorsolateral Prefrontal Cortex on Human Cognition: A Systematic Review.Frontiers in integrative neuroscience · 2020Pooled it
- Prefrontal-bed nucleus of the stria terminalis physiological and neuropsychological biomarkers predict therapeutic outcomes in depression.Nature communications · 2025Trial
- Field potential 1/Journal of neurophysiology · 2019Trial
- A multicenter randomized clinical trial of portable transcranial alternating current stimulation for major depressive disorder.NPJ digital medicine · 2026Article
- Light-based 40 Hz sensory therapy for brain disorders: physiological basis, therapeutic mechanisms, and future prospects.Frontiers in medicine · 2026Review
- A pilot study of inter-regional phase amplitude coupling as comorbid depression biomarker in temporal lobe epilepsy.Epilepsy & behavior : E&B · 2025Article
- EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation.Schizophrenia bulletin · 2025Article
- Real-time TMS-EEG for brain state-controlled research and precision treatment: a narrative review and guide.Journal of neural engineering · 2024Review
- One size does not fit all: notable individual variation in brain activity correlates of antidepressant treatment response.Frontiers in psychiatry · 2024Article
- Functional brain network features specify DBS outcome for patients with treatment resistant depression.Molecular psychiatry · 2023Article
- Influence of chronic stress on network states governing valence processing: Potential relevance to the risk for psychiatric illnesses.Journal of neuroendocrinology · 2023Review
- Invasive Computational Psychiatry.Biological psychiatry · 2023Review
- A review of critical brain oscillations in depression and the efficacy of transcranial magnetic stimulation treatment.Frontiers in psychiatry · 2023Review
- Sex differences in amygdalohippocampal oscillations and neuronal activation in a rodent anxiety model and in response to infralimbic deep brain stimulation.Frontiers in behavioral neuroscience · 2023Article
- Neuroimaging Biomarkers of New-Onset Psychiatric Disorders Following Traumatic Brain Injury.Biological psychiatry · 2022Review
- Age-dependent brain morphometry in Major Depressive disorder.NeuroImage. Clinical · 2022Article
- Sex differences in innate and adaptive neural oscillatory patterns link resilience and susceptibility to chronic stress in rats.Journal of psychiatry & neuroscience : JPN · 2021Article
- Deep brain stimulation for psychiatric disorders: From focal brain targets to cognitive networks.NeuroImage · 2021Review
- A New Viewpoint on the Etiopathogenesis of Depression: Insights From the Neurophysiology of Deep Brain Stimulation in Parkinson's Disease and Treatment-Resistant Depression.Frontiers in psychiatry · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The renaissance in the use of encephalography-based research methods to probe the pathophysiology of neuropsychiatric disorders is well afoot and continues to advance. Building on the platform of neuroimaging evidence on brain circuit models, magnetoencephalography, scalp electroencephalography, and even invasive electroencephalography are now being used to characterize brain network dysfunctions that underlie major depressive disorder using brain oscillation measurements and associated treatment responses. Such multiple encephalography modalities provide avenues to study pathologic network dynamics with high temporal resolution and over long time courses, opportunities to complement neuroimaging methods and findings, and new approaches to identify quantitative biomarkers that indicate critical targets for brain therapy. Such goals have been facilitated by the ongoing testing of novel invasive neuromodulation therapies, notably, deep brain stimulation, where clinically relevant treatment effects can be monitored at multiple brain sites in a time-locked causal manner. We review key brain rhythms identified in major depressive disorder as foundation for development of putative biomarkers for objectively evaluating neuromodulation success and for guiding deep brain stimulation or other target-based neuromodulation strategies for treatment-resistant depression patients.
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.