Evidence map›Paper›PMID 42670974›Full record

ArticleAnnals of neurology2026

Multimodal Characterization of Glymphatic-Related Magnetic Resonance Imaging Markers in Huntington's Disease: A Multi-Cohort Retrospective Study.

Alexia Solomon, Zexi Wang, Francesco Sanvito, Zheng Zhou, Adys Mendizabal, Jingwen Yao

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Article in Annals of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alexia SolomonDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Zexi WangDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Francesco SanvitoDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Zheng ZhouDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Adys MendizabalDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Jingwen YaoDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0002-8828-1841

Funding

Spatiotemporal Mapping of Huntington's Disease Progression through Multimodal MRI-based Circuit AnalysisR01NS148342 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jingwen Yao · 2026 to 2026
$653k
NINDS NIH HHS R01 NS148342
6 · The paper itself

Abstract

objectiveTo characterize magnetic resonance imaging (MRI)-based glymphatic surrogates in Huntington's disease (HD) using MRI measures of perivascular diffusivity and structural perivascular alterations across multiple large cohorts.

methodsWe analyzed 2,731 MRI sessions from 880 participants across 3 large retrospective HD cohorts. HD gene carriers were grouped by the HD Integrated Staging System into stage 0 to 3. We assessed the diffusion tensor image analysis along the perivascular space (DTI-ALPS) index and MRI-visible enlarged perivascular spaces (EPVS). Linear mixed-effects models examined group differences and associations with motor, cognitive, and functional measures. Likelihood ratio tests evaluated their added explanatory value beyond established imaging, genetic, and demographic variables.

resultsLeft ALPS indices were lower at more advanced disease stages (stage 1: -3.71%, Cohen's d: -0.25; stage 2: -4.33%, Cohen's d: -0.31; Stage 3: -6.43%, Cohen's d: -0.46; all p < 0.05) compared with controls, independent of demographic and clinical variables. EPVS burden showed region-specific patterns, with subcortical EPVS volume fraction increased in HD (stage 1-3: +49.9% to +63.7%, Cohen's d: 0.47 to 0.55, p < 0.0001), whereas white matter EPVS volume fraction decreased at Stage 3 (-13.8%, Cohen's d: -0.21, p < 0.05). Lower ALPS indices correlated with higher motor impairment (p < 0.0001) and reduced functional capacity (p < 0.01). Both ALPS and EPVS improved prediction of composite HD progression beyond CAG-Age Product Score and striatal volume.

interpretationMultimodal MRI revealed stage-dependent alterations in MRI-based glymphatic surrogates with low to moderate effect sizes. These findings suggest that DTI-ALPS and EPVS metrics offer complementary, noninvasive indicators of HD pathology derivable from routine imaging protocols. ANN NEUROL 2026.

Identifiers

PMID42670974
PMCPMC13662883

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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.