Evidence map›Paper›PMID 42818509›Full record

ArticleResearch square2026

Tissue- and compartment-resolved brain age reveals vascular-metabolic and neurodegenerative aging.

Hosung Kim, Cong Zang, Jinsan Lee, Elizabeth Haddad, Gilsoon Park, Jianwei Zhang, Jahae Kim, Kangho Choi, Yaqiong Chai, Andrei Irimia and 6 more

Abstract readPreprint
In one paragraph

Article in Research square, 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

16 authors.

Hosung KimUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California.
Cong ZangUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California.
Jinsan LeeDepartment of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine.
Elizabeth HaddadUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California.
Gilsoon ParkUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California.
Jianwei ZhangUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California.
Jahae KimDepartment of Nuclear Medicine, Chonnam National University Hospital.
Kangho ChoiDepartment of Neurology, Chonnam National University Hospital.
Yaqiong ChaiUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California.
Andrei IrimiaEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology.
Priya RajagopalanLos Angeles Medical Center.
Won-Jin MoonDepartment of Radiology, Konkuk University Medical Center.
Yonggang ShiUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California.
Hyung-Jeong YangDepartment of Artificial Intelligence Convergence, Chonnam National University.
Arthur TogaLaboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California.
Neda JahanshadUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California.

Funding

TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2012 to 2022
$14.1M
Imaging Cerebral Small Vessels in Vascular Cognitive Impairment and Dementia (VCID)RF1AG084072 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JIANG, XUEJUAN, SHI, YONGGANG · 2023 to 2023
$2.5M
Laminar Perfusion ImagingR01EB032169 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Danny JJ WANG · 2021 to 2026
$2.5M
Non-invasive MRI mapping of BBB water exchange rate and permeabilityR01NS134712 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Danny JJ WANG · 2024 to 2026
$2.1M
BBB Permeability Imaging in CADASILR01NS114382 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2020 to 2024
$1.2M
NIA NIH HHS RF1 AG084072NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB032169NINDS NIH HHS R01 NS114382NINDS NIH HHS R01 NS134712
6 · The paper itself

Abstract

Brain aging reflects heterogeneous vascular-metabolic and neurodegenerative processes, yet brain age is often reduced to a gray matter (GM)-dominant estimate. Emerging evidence suggests that subtle "dirty-appearing" T2-FLAIR abnormalities may mark diffuse white matter (WM) vulnerability that precedes or extends beyond overt WM hyperintensities (WMH). Here we developed a compartment-resolved framework integrating T1-weighted GM features with unthresholded T2-FLAIR WM signal across depth- and lobe-specific surfaces. In 26,446 UK Biobank and 992 ADNI participants, WM brain age captured variation beyond WMH burden and was preferentially associated with cardiometabolic risk before age 65; periventricular WM age statistically linked cardiometabolic burden to cognition. Across the Alzheimer's disease continuum, GM and WM brain age increased with diagnostic severity but showed distinct molecular associations: GM aging aligned more closely with amyloid burden, whereas WM aging showed prominent tau associations. These findings reveal complementary vascular-metabolic and neurodegenerative dimensions of brain aging obscured by global brain age estimates.

Indexed as

Alzheimer’s diseaseamyloid and tau PETBrain age predictioncardiometabolic riskmultimodal neuroimagingT2-FLAIR MRIwhite matter aging

Identifiers

PMID42818509
PMCPMC13622814

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.