Evidence map›Paper›PMID 39311825›Full record

Trial reportJournal of psychopathology and clinical science2025

Functional connectivity subtypes during a positive mood induction: Predicting clinical response in a randomized controlled trial of ketamine for treatment-resistant depression.

Shabnam Hossein, Mary L Woody, Benjamin Panny, Crystal Spotts, Meredith L Wallace, Sanjay J Mathew, Robert H Howland, Rebecca B Price

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of psychopathology and clinical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Shabnam HosseinDepartment of Psychiatry, University of Pittsburgh School of Medicine.
Mary L WoodyDepartment of Psychiatry, University of Pittsburgh School of Medicine.ORCID 0000-0002-3021-3299
Benjamin PannyDepartment of Psychiatry, University of Pittsburgh School of Medicine.
Crystal SpottsDepartment of Psychiatry, University of Pittsburgh School of Medicine.
Meredith L WallaceDepartment of Psychiatry, University of Pittsburgh School of Medicine.
Sanjay J MathewDepartment of Psychiatry, Baylor College of Medicine.
Robert H HowlandDepartment of Psychiatry, University of Pittsburgh School of Medicine.
Rebecca B PriceDepartment of Psychiatry, University of Pittsburgh School of Medicine.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Testing a Synergistic, Neuroplasticity-Based Intervention for Depressive NeurocognitionR01MH113857 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRICE, REBECCA · 2017 to 2021
$2.4M
NCATS NIH HHS UL1 TR001857NIMH NIH HHS R01 MH113857
6 · The paper itself

Abstract

Ketamine has shown promise in rapidly improving symptoms of depression and most notably treatment-resistant depression (TRD). However, given the heterogeneity of TRD, biobehavioral markers of treatment response are necessary for the personalized prescription of intravenous ketamine. Heterogeneity in depression can be manifested in discrete patterns of functional connectivity (FC) in default mode, ventral affective, and cognitive control networks. This study employed a data-driven approach to parse FC during positive mood processing to characterize subgroups of patients with TRD prior to infusion and determine whether these connectivity-based subgroups could predict subsequent antidepressant response to ketamine compared to saline infusion. 152 adult patients with TRD completed a baseline assessment of FC during positive mood processing and were randomly assigned to either ketamine or saline infusion. The assessment utilized Subgroup-Group Iterative Multiple Model Estimation to recover directed connectivity maps and applied Walktrap algorithm to determine data-driven subgroups. Depression severity was assessed pre- and 24-hr postinfusion. Two connectivity-based subgroups were identified: Subgroup A (

Indexed as

AffectAntidepressive AgentsConnectomeDefault Mode NetworkDepressive Disorder, Treatment-ResistantKetamineAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedTreatment OutcomeAntidepressive AgentsKetamine

Identifiers

PMID39311825
PMCPMC11929617

What OpenQuestion holds

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Registered trials

None linked

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.