Evidence map›Paper›PMID 42232024›Full record

ArticleNeuroimage. Reports2026

Quantitative MRI analysis of deep gray matter aging: Volumetric, T1/T2 ratio, and blood perfusion alterations.

Miaoqi Zhang, Zhe Sun, Chao Wang, Chenyang Li, Jiangyang Zhang, Yulin Ge

Abstract read
In one paragraph

Article in Neuroimage. Reports, 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

6 authors.

Miaoqi ZhangDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, United States.
Zhe SunDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, United States.
Chao WangDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, United States.
Chenyang LiDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, United States.
Jiangyang ZhangDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, United States.
Yulin GeDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, United States.

Funding

Alzheimer’s Disease Related Biomarkers following SARS-CoV-2 InfectionR01AG077422 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jennifer Ann Frontera, Yulin Ge · 2022 to 2026
$6.9M
Multi-scale and multi-modality imaging of neuropathology in VCIDU24NS135568 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JAMES C GEE, Yulin Ge · 2023 to 2026
$6.6M
Mechanisms of age-related white matter hyperintensities: insights from advanced MRIRF1NS110041 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GE, YULIN, WISNIEWSKI, THOMAS M · 2018 to 2018
$3.6M
NIA NIH HHS R01 AG077422NINDS NIH HHS RF1 NS110041NINDS NIH HHS U24 NS135568
6 · The paper itself

Abstract

Background: The deep gray matter nuclei (DGMN)-including the thalamus, caudate, putamen, and pallidum-are essential for cognitive, motor, and affective functions and are highly susceptible to age-related degeneration. However, the combined effects of aging and sex on DGMN volume, microstructure, and perfusion remain incompletely characterized. Methods: Using data from 652 healthy adults (36-89 years) from the Human Connectome Project-Aging cohort, we examined volumetric and perfusion changes across the DGMN. High-resolution T1- and T2-weighted MRI and multi-delay pseudo-continuous arterial spin labeling (pCASL) were used to quantify normalized volume, T1/T2 ratio, cerebral blood flow (CBF), and arterial transit time (ATT) in DGMN regions after perivascular spaces were removed. Age-related trajectories were modeled using linear and quadratic regression, and differences between sexes were examined, with false discovery rate correction applied. Results: Advancing age was associated with significant volumetric decline in all DGMN regions (p < 0.001), prolonged ATT, and reduced CBF, particularly in the caudate and thalamus. The T1/T2 ratio exhibited region-specific nonlinear trajectories, peaking in mid-adulthood and declining thereafter, reflecting its underlying age-related processes of demyelination and iron accumulation. Sex-stratified analyses suggested modest differences in T1/T2, ATT, and CBF trajectories; however, no significant age × sex interactions were observed after correction for multiple comparisons. DGMN volumes correlated negatively with ATT, while T1/T2 ratio correlated inversely with CBF, indicating more complex interactions between structure, tissue properties, and perfusion. Conclusions: This large-scale quantitative MRI study delineates distinct age-related trajectories of DGMN over adult lifespan. Integrating volumetric, T1/T2 ratio, and multi-delay ASL metrics-while correcting for perivascular spaces-enhances sensitivity to subtle changes and provides normative benchmarks for detecting early neurodegenerative alterations.

Indexed as

AgingArterial spin labelingArterial transit timeCerebral blood flowDeep gray matter nuclei (DGMN)T1/T2 ratio

Identifiers

PMID42232024
PMCPMC13223838

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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.