Evidence map›Paper›PMID 40665587›Full record

ArticleAnnals of clinical and translational neurology2025

Fixel-Based Analysis of Diffusion Imaging as a Quantitative Marker of Disease State in Spinocerebellar Ataxia.

David J Arpin, S H Subramony, READISCA Consortium, David E Vaillancourt, Tetsuo Ashizawa, Alexandra Durr, Thomas Mareci, Thomas Klockgether, Jennifer Faber, Henry L Paulson and 2 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Annals of clinical and translational neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03487367 (Clinical Trial Readiness for SCA1 and SCA3), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT03487367 unknown statusnot on this map

Clinical Trial Readiness for SCA1 and SCA3

TypeobservationalSponsorThe Methodist Hospital Research InstituteRan2018 to 2023Enrolled200ConditionsSpinocerebellar Ataxia Type 1, Spinocerebellar Ataxia 3
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

12 authors.

David J ArpinDepartment of Applied Physiology & Kinesiology, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-6442-1205
S H SubramonyDepartment of Neurology, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-8052-9240
READISCA Consortium
David E VaillancourtDepartment of Applied Physiology & Kinesiology, University of Florida, Gainesville, Florida, USA.
Tetsuo AshizawaStanley H. Appel Department of Neurology, Weill Cornell Medicine at Houston Methodist Hospital, Houston, Texas, USA.
Alexandra DurrSorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hopital de la Pitié-Salpêtrière, Paris, France.
Thomas MareciNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA.
Thomas KlockgetherGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Jennifer FaberGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Henry L PaulsonDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Gülin ÖzCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-5769-183X
Matthew R BurnsDepartment of Neurology, University of Florida, Gainesville, Florida, USA.

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Mehmet Akcakaya · 2019 to 2026
$11.7M
Supplementary funding for U01NS104326 Clinical Trial Readiness for SCA1 and SCA3 (“READISCA”)U01NS104326 · NINDS · METHODIST HOSPITAL RESEARCH INSTITUTE · PI ASHIZAWA, TETSUO, OZ, GULIN · 2018 to 2022
$6.1M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
Advanced 3T for Structural and Functional Imaging at University of FloridaS10OD021726 · OD · UNIVERSITY OF FLORIDA · PI LONG, JOANNA R · 2017 to 2017
$2.0M
High Performance Connectome Upgrade for Human 3T MR ScannerS10OD017974 · OD · UNIVERSITY OF MINNESOTA · PI LIM, KELVIN O. · 2014 to 2014
$600k
National Ataxia FoundationNIBIB NIH HHS P41 EB027061NIH HHS S10 OD017974NIH HHS S10 OD021726NINDS NIH HHS P30 NS076408NINDS NIH HHS U01 NS104326ODCDC CDC HHS S10 OD021726the Institutional Center Cores for Advanced Neuroimaging S10OD017974the National Center for Advancing Translational Sciences UL1TR000114the National Science Foundation DMR-1644779
6 · The paper itself

Abstract

objectiveSpinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging-based biomarkers. This study aimed to identify white matter differences in the brains of preataxic and early-stage SCA1 and SCA3 mutation carriers using diffusion magnetic resonance imaging data from a multisite trial setting.

methodsFixel-based analysis was used to estimate microscopic fiber density, macroscopic fiber-bundle cross-section, and a combined fiber density and fiber-bundle cross-section measure within 45 cerebral and cerebellar tracts. Multivariate ANOVAs compared controls (n = 16), pre-ataxic (n = 10 SCA1, n = 24 SCA3), and ataxic patients (n = 14 SCA1, n = 36 SCA3). Clinical variables were correlated with fixel metrics and receiver operating characteristic analyses identified white matter tracts sensitive to distinguishing controls from pre-ataxic SCA1 and SCA3.

resultsWe found widespread white matter deficits in pre-ataxic and ataxic patients compared to controls with regard to fiber density, fiber-bundle cross-section, and combined measures, all of which were associated with clinical measures of ataxia severity. We also found the combined fiber density and fiber-bundle cross-section measure from cerebellar tracts distinguished controls from pre-ataxia with high sensitivity and specificity for both SCA1 (receiver operating characteristic area under the curve = 0.96) and SCA3 (area under the curve = 0.97). The receiver operating characteristic analyses revealed that cerebellar tracts resulted in greater area under the curve than cortico-spinal and transcallosal tracts.

interpretationThese results demonstrate that fixel metrics offer sensitive disease-specific measures of early SCA disease state that correlate with standard clinical measures.

trial registrationClinical Trial Readiness for SCA1 and SCA3 (READISCA), NCT03487367. https://clinicaltrials.gov/ct2/show/NCT03487367.

Indexed as

Diffusion Magnetic Resonance ImagingMachado-Joseph DiseaseSpinocerebellar AtaxiasWhite MatterAdultAgedCerebellumFemaleHumansMaleMiddle Agedearly‐stage SCAneurodegenerationwhite matter

Identifiers

PMID40665587
PMCPMC12455865

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Registered trials

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.