ReviewFrontiers in psychiatry2021
Resting State Functional Connectivity Biomarkers of Treatment Response in Mood Disorders: A Review.
Review in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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Who cites it
23 citing papers in PubMed, 41 citations in OpenAlex.
- Generalizability of Treatment Outcome Prediction Across Antidepressant Treatment Trials in Depression.JAMA network open · 2025Trial
- Resting fMRI functional connectivity reflects fluctuations in inhibitory interneuron activity.bioRxiv : the preprint server for biology · 2026Article
- Discrimination of generalized anxiety and major depressive disorders by machine learning of resting-state functional MRI.BMC psychiatry · 2026Article
- Reduced alpha power predicts recurrence risk in major depressive disorder.Neuroimage. Reports · 2026Article
- Differences in the Efficacy of Cognitive Function Treatment Related to Functional Patterns in the Frontal-Limbic Network in Patients With Bipolar Disorder.CNS neuroscience & therapeutics · 2026Article
- Multimodal neuroimaging of locus coeruleus-default mode network connectivity for predicting dexmedetomidine response in chronic insomnia disorder.Frontiers in psychiatry · 2026Article
- Examining anterior prefrontal cortex resting-state functional connectivity patterns associated with depressive symptoms in chronic moderate-to-severe traumatic brain injury.Frontiers in neurology · 2025Article
- The effect of non-invasive transcranial focused ultrasound for depression on the default mode network: an open-label pilot trial.Frontiers in psychiatry · 2025Article
- Whole-brain modular dynamics at rest predict sensorimotor learning performance.Network neuroscience (Cambridge, Mass.) · 2025Article
- Concurrent optoacoustic tomography and magnetic resonance imaging of resting-state functional connectivity in the mouse brain.Nature communications · 2024Article
- Article
- Longitudinal single-subject neuroimaging study reveals effects of daily environmental, physiological, and lifestyle factors on functional brain connectivity.PLoS biology · 2024Article
- Acute Exercise Improves Large-Scale Brain Network Segregation in Healthy Older Adults.Brain connectivity · 2024Article
- Spinal fMRI demonstrates segmental organisation of functionally connected networks in the cervical spinal cord: A test-retest reliability study.Human brain mapping · 2024Article
- Revisiting the standard for modeling functional brain network activity: Application to consciousness.PloS one · 2024Article
- Tensorial independent component analysis reveals social and reward networks associated with major depressive disorder.Human brain mapping · 2023Article
- Dysconnection and cognition in schizophrenia: A spectral dynamic causal modeling study.Human brain mapping · 2023Article
- Neuroimaging-Derived Biomarkers of the Antidepressant Effects of Ketamine.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Review
- Synaptic plasticity and mental health: methods, challenges and opportunities.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Review
- Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review.Network neuroscience (Cambridge, Mass.) · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
There are currently no validated treatment biomarkers in psychiatry. Resting State Functional Connectivity (RSFC) is a popular method for investigating the neural correlates of mood disorders, but the breadth of the field makes it difficult to assess progress toward treatment response biomarkers. In this review, we followed general PRISMA guidelines to evaluate the evidence base for mood disorder treatment biomarkers across diagnoses, brain network models, and treatment modalities. We hypothesized that no treatment biomarker would be validated across these domains or with independent datasets. Results are organized, interpreted, and discussed in the context of four popular analytic techniques: (1) reference region (seed-based) analysis, (2) independent component analysis, (3) graph theory analysis, and (4) other methods. Cortico-limbic connectivity is implicated across studies, but there is no single biomarker that spans analyses or that has been replicated in multiple independent datasets. We discuss RSFC limitations and future directions in biomarker development.
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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.