Evidence map›Paper›PMID 40580018›Full record

ArticleHuman brain mapping2025

Neuropathological Correlates of Volume and Shape of Deep Gray Matter Structures in Community-Based Older Adults.

Khalid Saifullah, Nazanin Makkinejad, Md Tahmid Yasar, Arnold M Evia, Sue E Leurgans, David A Bennett, Julie A Schneider, Konstantinos Arfanakis

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Brain morphometry patterns in the presence of Alzheimer's disease and/or LATE neuropathologic changes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
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.

Khalid SaifullahDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Nazanin MakkinejadDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Md Tahmid YasarDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Arnold M EviaRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Sue E LeurgansRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Julie A SchneiderRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Konstantinos ArfanakisDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Characterizing TDP-43 related hippocampal degeneration and memory loss in agingR01AG067482 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI SCHNEIDER, JULIE A. · 2020 to 2024
$6.8M
MRI markers of brain aging and risk factors for cognitive decline in older African AmericansR01AG056405 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 2018 to 2023
$3.6M
Longitudinal validation of cerebral small vessel disease biomarkers in diverse community-based older adults without dementiaU01NS100599 · NINDS · RUSH UNIVERSITY MEDICAL CENTER · PI ARFANAKIS, KONSTANTINOS, SCHNEIDER, JULIE A. · 2023 to 2025
$3.5M
In-vivo MRI-based prediction of TDP43 pathology in agingR01AG064233 · NIA · ILLINOIS INSTITUTE OF TECHNOLOGY · PI ARFANAKIS, KONSTANTINOS, SCHNEIDER, JULIE A. · 2019 to 2023
$3.3M
NIA NIH HHS P30 AG010161NIA NIH HHS P30AG010161NIA NIH HHS P30 AG072975NIA NIH HHS P30AG072975NIA NIH HHS R01 AG015819NIA NIH HHS R01AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01AG017917NIA NIH HHS R01 AG056405NIA NIH HHS R01AG056405NIA NIH HHS R01 AG064233NIA NIH HHS R01AG064233NIA NIH HHS R01 AG067482NIA NIH HHS R01AG067482NINDS NIH HHS U01 NS100599NINDS NIH HHS U01NS100599
6 · The paper itself

Abstract

Age-related neurodegenerative and cerebrovascular neuropathologies often coexist in the brain of older adults and contribute to brain abnormalities, cognitive decline and dementia. While deep gray matter structures are implicated early and/or strongly in these processes, the independent effects of various age-related neuropathologies on these structures remain poorly understood. The goal of this study was to investigate the independent association of various age-related neuropathologies with the volume and shape of deep gray matter structures in a large number of community-based older adults that came to autopsy. Cerebral hemispheres from 842 participants of four community studies at the Rush Alzheimer's Disease Center were imaged with MRI ex vivo and underwent detailed neuropathologic examination. Linear regression was used to study the association of various neuropathologies with the volume and shape of six deep gray matter structures (hippocampus, amygdala, caudate, thalamus, nucleus accumbens, putamen) controlling for age at death, sex, years of education, scanner, and postmortem intervals. Both the volumetric and shape analyses showed independent associations of tangles with structural abnormalities in all deep brain structures, of limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) with hippocampus and amygdala, of atherosclerosis with hippocampus, and of gross infarcts with caudate (all p < 0.05 corrected for multiple comparisons). Shape analysis revealed the corresponding independent spatial patterns of inward deformation and also showed additional associations of neuropathologies with deep brain structures (p < 0.05 corrected for multiple comparisons). When analyses were repeated in left and right hemispheres separately, the results were mostly similar in both hemispheres. Mixed pathologies are very common in the older adult brain and the present comprehensive study disentangles their independent effects on multiple deep gray matter structures. These neuropathologic signatures may potentially be used in combination with other features toward in vivo prediction of neuropathologies which could have important implications in future clinical trials and the development of prevention and treatment strategies.

Indexed as

AgingBrainGray MatterAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleOrgan SizebrainMRIpathologyshapevolume

Identifiers

PMID40580018
PMCPMC12205369

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.