Evidence map›Paper›PMID 35578581›Full record

ArticlePsychological medicine2022

Anterior default mode network and posterior insular connectivity is predictive of depressive symptom reduction following serial ketamine infusion.

Benjamin S C Wade, Joana Loureiro, Ashish Sahib, Antoni Kubicki, Shantanu H Joshi, Gerhard Hellemann, Randall T Espinoza, Roger P Woods, Eliza Congdon, Katherine L Narr

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychological medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  8. Electroconvulsive Therapy (ECT) in Major Depression: Oldies but Goodies.Advances in experimental medicine and biology · 2024
    Review
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Benjamin S C WadeAhmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, CA, USA.ORCID 0000-0003-2461-6101
Joana LoureiroAhmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, CA, USA.
Ashish SahibAhmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, CA, USA.
Antoni KubickiAhmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, CA, USA.
Shantanu H JoshiAhmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, CA, USA.
Gerhard HellemannDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute, UCLA, Los Angeles, USA.
Randall T EspinozaDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute, UCLA, Los Angeles, USA.
Roger P WoodsAhmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, CA, USA.
Eliza CongdonDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute, UCLA, Los Angeles, USA.
Katherine L NarrAhmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, CA, USA.

Funding

Data-driven models of symptom heterogeneity to empower transdiagnostic multimodal biomarker discovery in mood disordersK99MH119314 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WADE, BENJAMIN SEAVEY CUTLER · 2019 to 2020
$208k
NIMH NIH HHS K99 MH119314
6 · The paper itself

Abstract

backgroundKetamine is a rapidly-acting antidepressant treatment with robust response rates. Previous studies have reported that serial ketamine therapy modulates resting state functional connectivity in several large-scale networks, though it remains unknown whether variations in brain structure, function, and connectivity impact subsequent treatment success. We used a data-driven approach to determine whether pretreatment multimodal neuroimaging measures predict changes along symptom dimensions of depression following serial ketamine infusion.

methodsPatients with depression (

resultsTwo HDRS-17 subscales, the HDRS-6 and core mood and anhedonia (CMA) symptoms, and the RRS: reflection (RRSR) scale were predicted significantly with 19, 27, and 1% variance explained, respectively. Increased right medial prefrontal cortex/anterior cingulate and posterior insula (PoI) and lower kurtosis of the superior longitudinal fasciculus predicted reduced HDRS-6 and CMA symptoms following treatment. RRSR change was predicted by global connectivity of the left posterior cingulate, left insula, and right superior parietal lobule.

conclusionsOur findings support that connectivity of the anterior default mode network and PoI may serve as potential biomarkers of antidepressant outcomes for core depressive symptoms.

Indexed as

KetamineMajor Depressive DisorderAntidepressive AgentsDefault Mode NetworkDepressionHumansMagnetic Resonance ImagingAntidepressive AgentsKetamineDefault mode networkfunctional connectivitymachine learningmajor depressive disorderserial ketamine infusion

Identifiers

PMID35578581
PMCPMC9527672

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Registered trials

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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.