Evidence map›Paper›PMID 42811009›Full record

ArticleNature communications2026

Brain-cognition relationships and treatment outcome in treatment-resistant late-life depression.

Peter Zhukovsky, Meryl A Butters, Helen Lavretsky, Patrick Brown, Joshua S Shimony, Eric J Lenze, Daniel M Blumberger, Alastair J Flint, Jordan F Karp, Steven Roose and 10 more

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

20 authors.

Peter ZhukovskyCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada. peter.zhukovsky@camh.ca.ORCID 0000-0002-7181-2095
Meryl A ButtersDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Helen LavretskyDepartment of Psychiatry, University of California, Los Angeles, CA, USA.ORCID 0000-0001-9990-5085
Patrick BrownDepartment of Psychiatry, Columbia University College of Physicians and Surgeons and the New York State Psychiatric Institute, New York, NY, USA.
Joshua S ShimonyMallinckrodt Institute of Radiology, Washington University, St Louis, MI, USA.
Eric J LenzeDepartment of Psychiatry, Washington University, St Louis, MO, USA.
Daniel M BlumbergerCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-8422-5818
Alastair J FlintDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Jordan F KarpDepartment of Psychiatry, University of Arizona, Tucson, AZ, USA.
Steven RooseDepartment of Psychiatry, Columbia University College of Physicians and Surgeons and the New York State Psychiatric Institute, New York, NY, USA.
Erin W DickieCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-3028-9864
Daniel FelskyCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-1831-9848
Ginger E NicolDepartment of Psychiatry, Washington University, St Louis, MO, USA.ORCID 0000-0001-5823-6129
Yar Al-DabaghCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-3087-8565
Nicole SchoerCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0009-0006-6980-2134
Feyifolu ObiriCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0009-0009-9718-9471
Ashlyn RunkDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Kayla ConatyDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Benoit H MulsantCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-0303-6450
Aristotle N VoineskosCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada. aristotle.voineskos@camh.ca.ORCID 0000-0003-0156-0395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older adults with treatment-resistant depression are at significant risk for cognitive impairment. However, the relationship between treatment response and cognitive function in this population is not well-established. We examined neural correlates of executive and memory function, and their relationship with remission to pharmacological treatment in a biomarker study embedded within a clinical trial for late-life treatment-resistant depression. Among participants who completed neuroimaging, better cognition was associated with lower connectivity between components of the default mode and the frontoparietal networks and within the frontoparietal network. Using diffusion imaging data, lower tract integrity in a distributed set of tracts was associated with poorer processing speed. Additionally, gray matter structure was positively associated with cognition. Greater education was also associated with better cognition. Ongoing treatment resistance was predicted by poorer cognition and gray matter structure in cross-validated regularized logistic models. These results identify distinct cross-sectional associations between neural circuits and cognitive function in treatment-resistant late-life depression, and build a predictive model for antidepressant medication response.

Indexed as

BrainCognitionDepressive Disorder, Treatment-ResistantAgedAntidepressive AgentsCross-Sectional StudiesFemaleGray MatterHumansMaleTreatment OutcomeAntidepressive Agents

Identifiers

PMID42811009
PMCPMC13624257

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.