Evidence map›Paper›PMID 42644055›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2026

Geometric properties of caudate and putamen mark the progression of Huntington's disease.

Dorian Pustina, Haikel Bogale, Sandhitsu Das, Brian Avants, Swati Sathe, Cristina Sampaio, Andrew Wood

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 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

7 authors.

Dorian PustinaCHDI Management, Inc., the company that manages the scientific activities of CHDI Foundation, Inc., Princeton, NJ, United States.ORCID https://orcid.org/0000-0002-2834-7220
Haikel BogaleRancho BioSciences, Rancho Santa Fe, CA, United States.ORCID https://orcid.org/0000-0002-1907-788X
Sandhitsu DasPaid consultant, Rancho BioSciences, Rancho Santa Fe, CA, United States.
Brian AvantsDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-4212-3362
Swati SatheCHDI Management, Inc., the company that manages the scientific activities of CHDI Foundation, Inc., Princeton, NJ, United States.
Cristina SampaioCHDI Management, Inc., the company that manages the scientific activities of CHDI Foundation, Inc., Princeton, NJ, United States.
Andrew WoodCHDI Management, Inc., the company that manages the scientific activities of CHDI Foundation, Inc., Princeton, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Volumetric MRI of the caudate and putamen is a robust biomarker of striatal degeneration in Huntington's disease (HD). Striatal degeneration may be reflected beyond volume alone, in additional shape and intensity alterations. We evaluated five novel morphometric biomarkers of the caudate and putamen-curvature, flatness, eccentricity, elongation, and focal assessment of divergence estimation (FADE; T1-weighted signal shift)-using cross-sectional and longitudinal MRI data from healthy controls (N = 100), individuals with premanifest HD (preHD; N = 100), and individuals with early manifest HD (earlyHD; N = 100). Geometric measures showed significant cross-sectional group differences with large effect sizes, although volume remained the most sensitive individual biomarker. Longitudinally, most geometric measures detected abnormal rates of change, particularly in the caudate, with medium-to-large effect sizes. The direct comparison between preHD and earlyHD proved challenging for all biomarkers; however, elongation yielded the largest effect size and outperformed volume in this comparison. FADE detected abnormal signal increases in HD groups at baseline but not longitudinally. Power analyses confirmed that volume retains the highest sensitivity, while geometric measures follow closely. Combining volume and geometric measures improved the cross-validated classification accuracy starting at low sample sizes. Correlations between scores and results from atrophy simulations confirmed that HD leaves two signatures on the striatum: loss of volume and loss of shape. While volume remains the strongest standalone biomarker, geometric measures provide complementary information that sharpens disease detection and may enhance biomarker frameworks in future HD clinical trials.

Indexed as

Caudate NucleusHuntington DiseasePutamenAdultCross-Sectional StudiesDisease ProgressionFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedbiomarkerendpointHD-ISSmonitoringmorphometricprognosticstructural MRIsurrogate

Identifiers

PMID42644055
PMCPMC13504955

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.