Evidence map›Paper›PMID 40304869›Full record

ReviewCerebellum (London, England)2025

Current and future applications of brain magnetic resonance imaging in ARSACS.

Alessandra Scaravilli, Davide Negroni, Claudio Senatore, Filippo Maria Santorelli, Sirio Cocozza

Abstract readReview
In one paragraph

Review in Cerebellum (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  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

5 authors.

Alessandra ScaravilliDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, Naples, 80131, Italy.
Davide NegroniDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, Naples, 80131, Italy.
Claudio SenatoreDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, Naples, 80131, Italy.
Filippo Maria SantorelliDepartment of Molecular Medicine, IRCCS Stella Maris Foundation, Pisa, Italy.
Sirio CocozzaDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, Naples, 80131, Italy. sirio.cocozza@unina.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic Resonance Imaging (MRI) is a tool with an unquestionable role in the study of neurodegenerative disorders, both for diagnostic purposes and for its ability of providing imaging-derived biomarkers with a growing central role as reliable outcomes in clinical trials. This is even more relevant when dealing with rare disorders such as the Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay (ARSACS), in which the search of diagnostic and prognostic biomarker is crucial. Due to the rarity of this condition, a comprehensive knowledge of MRI signs observed in ARSACS is lacking. Furthermore, many domains remain still unexplored in ARSACS, especially with reference to the application of advanced imaging techniques that could shed light on the pathophysiological mechanisms of brain damage in this disorder. In this review, after a brief introduction on the major conventional and advanced MRI techniques that can used for diagnostic and research purposes, we present current neuroradiological knowledge in ARSACS. Having discussed strength and weak points of conventional and advanced imaging findings, we also suggest possible future research in this neurologically complex clinical condition.

Indexed as

BrainMagnetic Resonance ImagingMuscle SpasticityNeuroimagingSpinocerebellar AtaxiasHumansARSACSAtaxiaBrainMagnetic resonance imaging

Identifiers

PMID40304869
PMCPMC12043731

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.