Evidence map›Paper›PMID 42448676›Full record

ArticleTranslational psychiatry2026

Depression and hippocampal subfield volume in older adults.

Danielle Luu, Alicia M Twisselmann, Victoria R Tennant, Brandon J Hall, Arjun Mahajan, Audrey Kim, Jamie Terner, Marylan L Davison, Koral Wheeler, Christopher R K Ching and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Translational psychiatry, 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

18 authors.

Danielle LuuStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0003-8399-7896
Alicia M TwisselmannStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0001-4338-808X
Victoria R TennantStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Brandon J HallStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Arjun MahajanStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Audrey KimStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Jamie TernerStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Marylan L DavisonStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Koral WheelerStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Christopher R K ChingStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-2921-3408
James HallUniversity of North Texas Health Science Center, Fort Worth, TX, USA.
Matthew T BorzageFetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-7010-2318
Leigh JohnsonUniversity of North Texas Health Science Center, Fort Worth, TX, USA.
Arthur W TogaStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-7902-3755
Sid E O'BryantUniversity of North Texas Health Science Center, Fort Worth, TX, USA.ORCID http://orcid.org/0000-0003-0582-5266
Kristine YaffeUCSF Weill Institute for Neurosciences, San Francisco, CA, USA.
Meredith N BraskieStevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. braskie@usc.edu.ORCID http://orcid.org/0000-0002-6439-4243
HABS-HD Study Team

Funding

The Health & Aging Brain Study - Health Disparities (HABS-HD)U19AG078109 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Sid E O'Bryant · 2022 to 2026
$181.1M
Health and Aging Brain among Latino Elders (HABLE-AT(N)) StudyR01AG058533 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI JOHNSON, LEIGH A, O'BRYANT, SID E · 2020 to 2025
$45.4M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2012 to 2022
$14.1M
Health Disparities in Alzheimer's Disease and Mild Cognitive Impairment among Mexican AmericansR01AG054073 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI O'BRYANT, SID E, TOGA, ARTHUR W · 2017 to 2021
$12.6M
Epigenetic Risk Factors for AD Age at Onset and Health Disparities: HABLE Epigenetics StudyR01AG070862 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI BARBER, ROBERT CLINTON · 2021 to 2025
$3.4M
High Capacity, High Performance Storage System for NeuroscienceS10OD032285 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2022 to 2022
$1.7M
NIA NIH HHS R01 AG054073NIA NIH HHS R01 AG058533NIA NIH HHS R01 AG070862NIA NIH HHS U19 AG078109NIBIB NIH HHS P41 EB015922NIH HHS S10 OD032285U.S. Department of Health & Human Services | National Institutes of Health (NIH) S10OD032285U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) P41EB015922U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG054073U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG058533U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG070862U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) U19AG078109
6 · The paper itself

Abstract

Depression is associated with a higher risk for developing Alzheimer's Disease (AD) [1], but the mechanisms that underlie the complex relationship between depression and AD remain largely elusive. The hippocampus is a region of the brain that is commonly affected by both AD and depression and serves as a focal point for our study. We aim to understand the relationship of 1) depression and antidepressant medications to hippocampal subfield volume during normal aging, and 2) whether AD risk, as measured by amyloid and tau pathology and APOE4 status, impacts these relationships. We studied 2009 ethno-racially diverse cognitively unimpaired older adults aged 50 to 90 years who either had depression (n = 630) or were not depressed (n = 1379). Participants with depression were further stratified by antidepressant medication usage. High-resolution MRI scans were used to calculate hippocampal subfield volumes that included the CA1, the subiculum, and a composite region that included the CA2, CA3, and the dentate gyrus (CA23DG). Having depression was associated with a smaller CA23DG, independent of amyloid and tau pathology in the brain. Within the subgroup of participants with depression, those who used antidepressant medications had smaller CA1 and CA23DG volumes than those who did not use these medications.

Indexed as

AgingAlzheimer DiseaseHippocampusAgedAged, 80 and overAntidepressive AgentsApolipoprotein E4FemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOrgan SizeAntidepressive AgentsApolipoprotein E4

Identifiers

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.