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Structural signature of classical versus late-onset friedreich's ataxia by Multimodality brain MRI

Authors :
Thiago Junqueira Ribeiro de Rezende
Ingrid Faber
Andreia V. Faria
Orlando Graziani Povoas Barsottini
Marcondes C. França
Karen Girotto
José Luiz Pedroso
Fernando Cendes
Iscia Lopes-Cendes
Alberto R. M. Martinez
Source :
Human Brain Mapping. 38:4157-4168
Publication Year :
2017
Publisher :
Wiley, 2017.

Abstract

Introduction Friedreich's ataxia (FRDA) is the most common autosomal-recessive ataxia worldwide. It is characterized by early onset, sensory abnormalities, and slowly progressive ataxia. However, some individuals manifest the disease after the age of 25 years and are classified as late-onset FRDA (LOFA). Therefore, we propose a transversal multimodal MRI-based study to investigate which anatomical substrates are involved in classical (cFRDA) and LOFA. Methods We enrolled 36 patients (13 with LOFA) and 29 healthy controls. All subjects underwent magnetic resonance imaging in a 3 T device; three-dimensional high-resolution T1-weighted images and diffusion tensor images were used to assess gray and white matter, respectively. We used T1 multiatlas approach to assess deep gray matter and cortical thickness measures to evaluate cerebral cortex and DTI multiatlas approach to assess white matter. All analyses were corrected for multiple comparisons. Results Group comparison showed that both groups presented gray matter atrophy mostly in the motor cortex. Regarding white matter, we found abnormalities in the cerebellar peduncles, pyramidal tracts, midbrain, pons, and medulla oblongata for both groups, but the microstructural abnormalities in the cFRDA group were more widespread. In addition, we found that the corticospinal tract presented more severe microstructural damage in the LOFA group. Finally, the midbrain volume of the cFRDA, but not of the LOFA group, correlated with disease duration (R = −0.552, P = 0.012) and severity (R = −0.783, P

Details

ISSN :
10659471
Volume :
38
Database :
OpenAIRE
Journal :
Human Brain Mapping
Accession number :
edsair.doi...........87cbd2f2e86afce727fdf298b17df9f7
Full Text :
https://doi.org/10.1002/hbm.23655