Evidence map›Paper›PMID 40809336›Full record

ArticleNeuroimage. Reports2025

MRI signatures associated with active ischemia and disease severity in cerebral small vessel disease.

Peter Kang, Matthew R Brier, Chunwei Ying, Andria L Ford, Hongyu An, Jin-Moo Lee

Abstract read
In one paragraph

Article in Neuroimage. Reports, 2025. 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.

Peter KangDepartment of Neurology, Washington University School of Medicine, USA.
Matthew R BrierDepartment of Neurology, Washington University School of Medicine, USA.
Chunwei YingDepartment of Biomedical Engineering, Washington University, USA.
Andria L FordDepartment of Neurology, Washington University School of Medicine, USA.
Hongyu AnDepartment of Neurology, Washington University School of Medicine, USA.
Jin-Moo LeeDepartment of Neurology, Washington University School of Medicine, USA.

Funding

MR measured regional hypoxia as an early biomarker in cerebral small vessel diseaseRF1NS116565 · NINDS · WASHINGTON UNIVERSITY · PI AN, HONGYU, FORD, ANDRIA LEE · 2020 to 2020
$3.4M
PET and MRI Evaluation of Cerebral Inflammation and Metabolic Stress in Relapsing Multiple SclerosisK23NS128325 · NINDS · WASHINGTON UNIVERSITY · PI Matthew Ryan Brier · 2023 to 2026
$931k
Neuroinflammation in Cerebral Small Vessel Disease using PET/MR ImagingR21NS127425 · NINDS · WASHINGTON UNIVERSITY · PI AN, HONGYU · 2022 to 2022
$431k
NINDS NIH HHS K23 NS128325NINDS NIH HHS R21 NS127425NINDS NIH HHS RF1 NS116565
6 · The paper itself

Abstract

Objective: Cerebral small vessel disease, a leading cause of stroke and cognitive impairment, manifests on neuroimaging with white matter hyperintensities (WMH) and disrupted microstructure in normal-appearing white matter. WMH, by definition have high T2 FLAIR signal; however, both T2 FLAIR and T1 signal in WMH are highly variable. We hypothesized that signal intensity parameters would differ in cerebral small vessel disease compared to healthy controls and that signal heterogeneity would be associated with more severe ischemia. Methods: In this case-control cross-sectional study, participants with cerebral small vessel disease (n = 27) and controls (n = 35) underwent T1-weighted and T2 FLAIR MRI for signal intensity quantification as well as pseudocontinuous arterial spin labeling and asymmetric spin echo to measure cerebral blood flow, and oxygen extraction fraction, respectively, and diffusion tensor imaging to assess white matter microstructure. Following signal intensity normalization, we quantified white matter T1 and T2 FLAIR mean and heterogeneity and correlated them to biomarkers of disease severity and physiology (cerebral blood flow and oxygen extraction fraction) in order to understand how signal variability relates to tissue hypoxia-ischemia. Results: The cerebral small vessel disease group had increased T2 FLAIR intensity ( Interpretation: In conclusion, we found evidence that T1 and T2 FLAIR signal is heterogeneous in cerebral small vessel disease and is associated with disease severity. Within WMH, focal T1 hypointensity and variability, as well as T2 FLAIR hyperintensity and variability is associated with ischemia, but not infarction, particularly in larger lesions, suggesting that these patterns of MRI signal follow both disease severity and aberrant physiology. Finally, WMH clustered by structural properties align with specific physiologic patterns suggesting that imaging appearance may reveal underlying ischemic vulnerability. Although these data are exploratory, they suggest that certain categories of WMH with highly ischemic but non-infarcted physiology may represent high-risk tissue that is reversibly injured. Future work will investigate the role these imaging parameters have on clinically relevant outcomes such as incident stroke and cognitive impairment.

Indexed as

Brain ischemiaCerebral blood flowCerebral small vessel diseaseOxygen metabolismVascular contributions to cognitive impairment and dementia

Identifiers

PMID40809336
PMCPMC12344251

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.