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@ARTICLE{Pontillo:285633,
author = {Pontillo, Giuseppe and Penna, Simone and Arrigoni, Filippo
and Bender, Benjamin and Boesch, Sylvia and Brunetti, Arturo
and Cendes, Fernando and Chopra, Sidhant and Corben, Louise
A and Deistung, Andreas and Delatycki, Martin B and
Diciotti, Stefano and Dogan, Imis and Egan, Gary F and
França, Marcondes C and Georgiou-Karistianis, Nellie and
Göricke, Sophia L and Henry, Pierre-Gilles and
Hernandez-Castillo, Carlos R and Hutter, Diane and Joers,
James M and Lenglet, Christophe and Lindig, Tobias and Lodi,
Raffaele and Manners, David N and Martinez, Alberto R M and
Martinuzzi, Andrea and Marzi, Chiara and Mascalchi, Mario
and Nachbauer, Wolfgang and Pane, Chiara and Peruzzo, Denis
and Pishardy, Pramod K and Reetz, Kathrin and Rezende,
Thiago J R and Romanzetti, Sandro and Saccà, Francesco and
Schoels, Ludger and Schulz, Jorg B and Stefani, Ambra and
Synofzik, Matthis and Thomopoulos, Sophia I and Thompson,
Paul M and Timmann, Dagmar and Tonon, Caterina and Vavla,
Marinela and Harding, Ian H and Cocozza, Sirio},
title = {{I}dentification of {B}iological {S}ubtypes of {F}riedreich
{A}taxia with {S}tructural {MRI}-based {M}achine
{L}earning.},
journal = {Radiology},
volume = {318},
number = {3},
issn = {0033-8419},
address = {Oak Brook, Ill.},
publisher = {Soc.},
reportid = {DZNE-2026-00272},
pages = {e251386},
year = {2026},
abstract = {Background Friedreich ataxia (FRDA) is an inherited,
progressive neurodegenerative disease. Interindividual
heterogeneity in the rate and phenotypic profile of disease
progression indicates a biologic variability in the pattern
and spatial evolution of underlying changes, but the
occurrence of possible FRDA subgroups, which could aid in
clinical trial design and treatment, are still unknown.
Purpose To obtain a structural MRI-based stratification of
participants with FRDA using the Subtype and Stage Inference
(SuStaIn) algorithm and determine whether these subgroups
are biologically meaningful and clinically relevant.
Materials and Methods This multicenter secondary analysis of
prospectively acquired data included structural MRI and
clinical-demographic data from participants from the
ENIGMA-Ataxia working group. MRI biomarkers were analyzed
using the SuStaIn algorithm to identify subgroups with
distinct patterns and disease stages. The clinical and
genetic relevance of these subgroups were assessed within a
linear model framework. Results This study included 565
participants (mean age, 32 years ± 13.1 [SD]; 286 women;
275 participants with FRDA and 290 healthy controls).
SuStaIn identified three subtypes: (a) a classical subtype
$(66.5\%$ [183 of 275 participants]), characterized by an
ascending gradient of damage from brainstem to cerebellar
cortex to cerebrum; (b) an early cerebral subtype $(25.8\%$
[71 of 275 participants]) with cerebral atrophy preceding
the involvement of cerebellar cortex; and (c) and an early
cerebellar subtype $(7.64\%$ [21 of 275 participants])
showing cerebellar lobule atrophy before upper brainstem or
cerebral involvement. More advanced disease stages
(MRI-based SuStaIn stages) correlated with greater symptom
duration (unstandardized coefficient B = 0.422, standard
error = 0.065, P < .001) and severity (B = 1.404, standard
error = 0.201, P < .001), and these relationships were
moderated by subtype, with biologic stage progression in the
early cerebral subtype mapping less strongly to clinical
variables relative to the others (interaction term early
cerebral subtype × stage: B = -0.925, standard error =
0.410, P = .02). Conclusion Using the SuStaIn algorithm,
three distinct structural MRI-based subtypes of FRDA were
identified, with different patterns of brain degeneration
and associations with clinical severity. © RSNA, 2026
Supplemental material is available for this article.},
keywords = {Humans / Friedreich Ataxia: diagnostic imaging / Friedreich
Ataxia: classification / Friedreich Ataxia: pathology /
Magnetic Resonance Imaging: methods / Female / Male / Adult
/ Machine Learning / Prospective Studies / Brain: diagnostic
imaging / Brain: pathology / Middle Aged / Disease
Progression / Young Adult},
cin = {AG Schöls / AG Gasser},
ddc = {610},
cid = {I:(DE-2719)5000005 / I:(DE-2719)1210000},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:41805414},
doi = {10.1148/radiol.251386},
url = {https://pub.dzne.de/record/285633},
}