Evidence map›Paper›PMID 41775907›Full record

ArticleCerebellum (London, England)2026

Genotype and Age at Onset Drive Vermis Atrophy in CACNA1A- and GAA-FGF14-related Ataxias.

Elisabetta Indelicato, Wolfgang Nachbauer, Matthias Amprosi, David Pellerin, Stephanie Mangesius, Elke R Gizewski, Stefan Kiechl, Bernhard Brais, Sylvia Boesch, Florian Krismer and 1 more

Abstract read
In one paragraph

Article in Cerebellum (London, England), 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

11 authors.

Elisabetta IndelicatoCenter for Rare Movement Disorders Innsbruck, Department of Neurology, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.ORCID http://orcid.org/0000-0003-0217-8630
Wolfgang NachbauerCenter for Rare Movement Disorders Innsbruck, Department of Neurology, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Matthias AmprosiCenter for Rare Movement Disorders Innsbruck, Department of Neurology, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
David PellerinDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Stephanie MangesiusDepartment of Radiology, Medical University of Innsbruck, 6020, Innsbruck, Austria.
Elke R GizewskiDepartment of Radiology, Medical University of Innsbruck, 6020, Innsbruck, Austria.
Stefan KiechlCenter for Rare Movement Disorders Innsbruck, Department of Neurology, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.ORCID http://orcid.org/0000-0002-9836-2514
Bernhard BraisDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Sylvia BoeschCenter for Rare Movement Disorders Innsbruck, Department of Neurology, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Florian KrismerCenter for Rare Movement Disorders Innsbruck, Department of Neurology, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria. florian.krismer@i-med.ac.at.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

CACNA1A- and GAA-FGF14-related channelopathies are among the most frequent genetic etiologies of cerebellar ataxia. They display overlapping features consisting of both chronic and episodic neurological symptoms and usually show only a mild cerebellar atrophy in imaging studies, with prevalent involvement of the vermis. To evaluate cerebellar volumetry as a biomarker for distinguishing between these disorders and for understanding their neuroanatomical correlates. We applied a deep learning method (CerebNet) for the lobular segmentation and volumetry assessment of the cerebellum on 3.0 Tesla MRI scans of patients with genetically confirmed CACNA1A- (n = 16) and GAA-FGF14-related (n = 12) ataxia. K-means clustering and principal component analysis were employed to assess infratentorial atrophy patterns. Three distinct clusters based on the patterns of infratentorial volume loss were established, with vermian atrophy contributing the most. The degree of vermian atrophy was not correlated with the clinical severity of chronic ataxia, but with age at disease onset (rs(26) = 0.47, p = 0.01). The cluster with most marked atrophy of the vermis comprised patients with missense CACNA1A variants who exhibited an early disease onset and migraine with aura as episodic manifestation. Conversely, there was an increase in the frequency of episodic ataxia and both loss-of-function CACNA1A variants and GAA-FGF14-expansions as genotypes when progressing from clusters with more to less severe vermian atrophy. Age at onset and the modality of channel dysfunction are key determinants of cerebellar volume loss in CACNA1A and GAA-FGF14-disease.

Indexed as

Calcium ChannelsCerebellar AtaxiaFibroblast Growth FactorsAdolescentAdultAge of OnsetAtrophyCalcium Channels, N-TypeCerebellumFemaleGenotypeHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultCACNA1A protein, humanCalcium ChannelsCalcium Channels, N-Typefibroblast growth factor 14Fibroblast Growth FactorsCACNA1ACerebellumCerebNetComputational NeuroimagingGAA-FGF14 related ataxiaSpinocerebellar Ataxia 27B

Identifiers

PMID41775907
PMCPMC12956909

What Socratic holds

Textmetadata
LicenceCC BY
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.