Evidence map›Paper›PMID 40502735›Full record

ArticleResearch square2025

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

Aristotle Voineskos, Peter Zhukovsky, Meryl Butters, Helen Lavretsky, Patrick Brown, Joshua Shimony, Eric Lenze, Daniel Blumberger, Alastair Flint, Jordan Karp and 10 more

Abstract readPreprint
In one paragraph

Article in Research square, 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

20 authors.

Aristotle VoineskosCAMH.
Peter ZhukovskyHarvard Medical School/McLean Hospital.
Meryl ButtersUniversity of Pittsburgh School of Medicine.
Helen LavretskyUCLA.ORCID 0000-0001-9990-5085
Patrick BrownColumbia.
Joshua ShimonyWashington University.
Eric LenzeWashington University School of Medicine.
Daniel BlumbergerCentre for Addiction and Mental Health.ORCID 0000-0002-8422-5818
Alastair FlintUHN.
Jordan KarpUniversity of Arizona.
Steven RooseColumbia.
Erin DickieCAMH.
Daniel FelskyCentre for Addiction and Mental Health.ORCID 0000-0003-1831-9848
Ginger NicholWashington University.
Yar Al-DabaghCAMH.ORCID 0000-0002-3087-8565
Nicole SchoerCAMH.
Ashlyn RunkLSU.
Kayla ConatyUPMC.
Benoit H MulsantDepartment of Psychiatry, University of Toronto.ORCID 0000-0002-0303-6450

Funding

3/5 Neurocognitive and neuroimaging biomarkers: predicting progression towards dementia in patients with treatment resistant late-life depressionR01MH114969 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BUTTERS, MERYL A · 2017 to 2021
$2.6M
1/5 Neurocognitive and neuroimaging biomarkers: predicting progression towards dementia in patients with treatment-resistant late-life depressionR01MH114970 · NIMH · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI VOINESKOS, ARISTOTLE NICHOLAS · 2017 to 2021
$2.0M
2/5 Neurocognitive and neuroimaging biomarkers: predicting progression towards dementia in patients with treatment resistant late-life depression.R01MH114980 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI BROWN, PATRICK J, RUTHERFORD, BRET R · 2017 to 2021
$1.8M
4/5 Neurocognitive and neuroimaging biomarkers: predicting progression towards dementia in late-life depressionR01MH114981 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LAVRETSKY, HELEN, NARR, KATHERINE L · 2017 to 2021
$1.8M
5/5 Neurocognitive and neuroimaging biomarkers: predicting progression toward dementia in patients with treatment resistant late-life depressionR01MH114966 · NIMH · WASHINGTON UNIVERSITY · PI SHIMONY, JOSHUA S · 2017 to 2021
$1.7M
NIMH NIH HHS R01 MH114966NIMH NIH HHS R01 MH114969NIMH NIH HHS R01 MH114970NIMH NIH HHS R01 MH114980NIMH NIH HHS R01 MH114981
6 · The paper itself

Abstract

Older adults with treatment-resistant depression are at significant risk for cognitive impairment. 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 prospective treatment outcomes. In the context of a longitudinal biomarker study embedded within a multi-center randomized controlled trial for late-life treatment-resistant depression, 397 participants completed baseline neuropsychological testing, and of these 234 adults successfully completed a baseline MRI scan. Multivariate regressions were used to test for brain-cognition associations between memory and executive function and brain functional connectivity, white matter integrity, and gray matter structure. Further, we employed regularized elastic net regressions to identify biomarkers predicting depression remission (MADRS≤10) in the clinical trial. 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 (multivariate r=0.37, p<0.01). Using diffusion imaging data, lower tract integrity in a distributed set of tracts was associated with poorer executive function (multivariate r=0.27, p<0.05). Additionally, gray matter structure was positively associated with cognition (multivariate r=0.38, p<0.05). Education and better structural brain maintenance but not overall health were associated with better cognition. Ongoing treatment resistance was predicted by poorer cognition and gray matter structure. We identified distinct cross-sectional associations between specific neural circuits and variation in cognitive function in people with treatment-resistant late-life depression. We also found worse cognitive function and gray matter structure predicted ongoing treatment resistance to medication offered in the clinical trial.

Identifiers

PMID40502735
PMCPMC12155206

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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.