ArticleNeuropsychopharmacology reports2021
Functional connectivity between the amygdala and subgenual cingulate gyrus predicts the antidepressant effects of ketamine in patients with treatment-resistant depression.
Article in Neuropsychopharmacology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Predicting treatment outcomes in major depressive disorder using brain magnetic resonance imaging: a meta-analysis.Molecular psychiatry · 2025Pooled it
- Brain-based correlates of antidepressant response to ketamine: a comprehensive systematic review of neuroimaging studies.The lancet. Psychiatry · 2023Pooled it
- A common symptom geometry of mood improvement under sertraline and placebo associated with distinct neural patterns.Psychological medicine · 2025Trial
- Influences of resting-state intrinsic functional brain connectivity on the antidepressant treatment response in late-life depression.Psychological medicine · 2023Trial
- Reduced anhedonia following internet-based cognitive-behavioral therapy for depression is mediated by enhanced reward circuit activation.Psychological medicine · 2023Trial
- Rapid neuroplasticity changes and response to intravenous ketamine: a randomized controlled trial in treatment-resistant depression.Translational psychiatry · 2023Trial
- Electrical signatures of divergent connectivity in the human subgenual cingulate cortex.medRxiv : the preprint server for health sciences · 2026Article
- Distinct Trajectories of Amygdala Connectivity Patterns Characterize Remission vs. Non-Remission in Patients With Major Depressive Disorder.Depression and anxiety · 2026Article
- Body mass index is associated with the antidepressant effects of intravenous ketamine in patients with depression.Frontiers in psychiatry · 2025Article
- Personalized use of ketamine and esketamine for treatment-resistant depression.Translational psychiatry · 2024Review
- Functional connectivity of the amygdala subregions and the antidepressant effects of repeated ketamine infusions in major depressive disorder.European psychiatry : the journal of the Association of European Psychiatrists · 2024Article
- Neuroimaging-Derived Biomarkers of the Antidepressant Effects of Ketamine.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Review
- Review: The use of functional magnetic resonance imaging (fMRI) in clinical trials and experimental research studies for depression.Frontiers in neuroimaging · 2023Review
- Rostral anterior cingulate connectivity in older adults with subthreshold depressive symptoms: A preliminary study.Aging brain · 2023Article
- Functional MRI markers for treatment-resistant depression: Insights and challenges.Progress in brain research · 2023Review
- The Downstaging Concept in Treatment-Resistant Depression: Spotlight on Ketamine.International journal of molecular sciences · 2022Review
- Intrinsic Connectivity Networks of Glutamate-Mediated Antidepressant Response: A Neuroimaging Review.Frontiers in psychiatry · 2022Review
- Prefrontal cortex and depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Review
- Childhood Threat Is Associated With Lower Resting-State Connectivity Within a Central Visceral Network.Frontiers in psychology · 2022Article
- Functional connectivity between the amygdala and subgenual cingulate gyrus predicts the antidepressant effects of ketamine in patients with treatment-resistant depression.Neuropsychopharmacology reports · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimApproximately one-third of patients with major depressive disorder develop treatment-resistant depression. One-third of patients with treatment-resistant depression demonstrate resistance to ketamine, which is a novel antidepressant effective for this disorder. The objective of this study was to examine the utility of resting-state functional magnetic resonance imaging for the prediction of treatment response to ketamine in treatment-resistant depression.
methodsAn exploratory seed-based resting-state functional magnetic resonance imaging analysis was performed to examine baseline resting-state functional connectivity differences between ketamine responders and nonresponders before treatment with multiple intravenous ketamine infusions.
resultsFifteen patients with treatment-resistant depression received multiple intravenous subanesthetic (0.5 mg/kg/40 minutes) ketamine infusions, and nine were identified as responders. The exploratory resting-state functional magnetic resonance imaging analysis identified a cluster of significant baseline resting-state functional connectivity differences associating ketamine response between the amygdala and subgenual anterior cingulate gyrus in the right hemisphere. Using anatomical region of interest analysis of the resting-state functional connectivity, ketamine response was predicted with 88.9% sensitivity and 100% specificity. The resting-state functional connectivity of significant group differences between responders and nonresponders retained throughout the treatment were considered a trait-like feature of heterogeneity in treatment-resistant depression.
conclusionThis study suggests the possible clinical utility of resting-state functional magnetic resonance imaging for predicting the antidepressant effects of ketamine in treatment-resistant depression patients and implicated resting-state functional connectivity alterations to determine the trait-like pathophysiology underlying treatment response heterogeneity in treatment-resistant depression.
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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.