Evidence map›Paper›PMID 40417268›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Psychosocial behavioral phenotypes of racially/ethnically minoritized older adults enrolled in HABS-HD differ on neuroimaging measures of brain age gap, hippocampal volume, and cortical thickness.

Alexandra L Clark, Makenna B McGill, Alexandra J Weigand, Julie K Wisch, Kalen Petersen, Beau Ances, Meredith N Braskie, Sid O'Bryant, Kelsey R Thomas, HABS‐HD Study Team

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Alexandra L ClarkDepartment of Psychology The University of Texas at Austin Austin Texas USA.ORCID https://orcid.org/0000-0002-7437-5409
Makenna B McGillDepartment of Psychology The University of Texas at Austin Austin Texas USA.
Alexandra J WeigandDepartment of Neurology University of California San Francisco Medical School San Francisco California USA.
Julie K WischDepartment of Neurology Washington University School of Medicine in St. Louis St. Louis Missouri USA.
Kalen PetersenDepartment of Neurology Washington University School of Medicine in St. Louis St. Louis Missouri USA.
Beau AncesDepartment of Neurology Washington University School of Medicine in St. Louis St. Louis Missouri USA.
Meredith N BraskieStevens Neuroimaging and Informatics InstituteKeck School of Medicine University of Southern California Los Angeles California USA.
Sid O'BryantInstitute for Translational Research University of North Texas Health Science Center Fort Worth Texas USA.
Kelsey R ThomasResearch Service, VA San Diego Healthcare System San Diego California USA.
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
The impact of segregation and the mediating effects of vascular risk on 10-year cognitive and functional outcomes in Black/African American older adults enrolled in the ACTIVE studyR03AG085241 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI CLARK, ALEXANDRA LEIGH, MARSISKE, MICHAEL · 2023 to 2023
$329k
Identifying best methods for the detection of subtle cognitive declineR03AG070435 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI THOMAS, KELSEY R · 2021 to 2022
$316k
CSRD VA IK2 CX001865NIA NIH HHS R01 AG054073NIA NIH HHS R01 AG058533NIA NIH HHS R03 AG070435NIA NIH HHS R03 AG085241NIA NIH HHS U19 AG078109NIBIB NIH HHS P41 EB015922
6 · The paper itself

Abstract

introductionThis study examined whether previously identified psychosocial behavioral phenotypes differed on structural neuroimaging markers.

methodsLatent profile analysis (LPA) employed in a sample of 1820 community-dwelling older adults (1118 Hispanic and 702 Black) replicated previous Low Resource/Low Distress, High Resource/Low Distress, and Low Resource/High Distress phenotype classifications. Analyses of covariance (ANCOVAs) adjusting for relevant factors examined phenotype differences on neuroimaging outcomes of predicted brain age gap (BAG) (DeepBrainNet

resultsThe Low Resource/Low Distress and Low Resource/High Distress phenotypes had significantly higher predicted BAGs relative to the High Resource/Low Distress phenotype, and the Low Resource/High Distress group displayed significantly lower hippocampal volumes and meta-temporal cortical thickness relative to High Resource/Low Distress phenotype. DISCUSSION: Results highlight there are neurostructural variations across psychosocial behavioral phenotypes and indicate the Low Resource/High Distress group may be at risk for ADRD. Highlights: Brain age gap (BAG), hippocampal volumes, and cortical thickness differences were tested.The High Resource/Low Distress phenotype had the most favorable imaging outcomes.The Low Resource/High Distress phenotype demonstrated the poorest imaging outcomes.Risk for Alzheimer's disease and related dementias (ADRD) may differ across psychosocial behavioral phenotypes.

Indexed as

brain age gaphealth disparitieshippocampal volumeneurodegenerationneuroimagingphenotypingpsychosocialrisk and resilience to ADRD

Identifiers

PMID40417268
PMCPMC12100497

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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.