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Purpose of Review: Degenerative ataxias are rare and currently untreatable movement disorders, primarily characterized by neurodegeneration in the cerebellum and brainstem. We highlight MRI studies with the most potential for utility in pending ataxia trials and underscore advances in disease characterization and diagnostics in the field., Recent Findings: With availability of advanced MRI acquisition methods and specialized software dedicated to the analysis of MRI of the cerebellum, patterns of cerebellar atrophy in different degenerative ataxias are increasingly well defined. The field further embraced rigorous multimodal investigations to study network-level microstructural and functional brain changes and their neurochemical correlates. MRI and magnetic resonance spectroscopy were shown to be more sensitive to disease progression than clinical scales and to detect abnormalities in premanifest mutation carriers., Summary: Magnetic resonance techniques are increasingly well placed for characterizing the expression and progression of degenerative ataxias. The most impactful work has arguably come through multi-institutional studies that monitor relatively large cohorts, multimodal investigations that assess the sensitivity of different measures and their interrelationships, and novel imaging approaches that are targeted to known pathophysiology (e.g., iron and spinal imaging in Friedreich ataxia). These multimodal, multi-institutional studies are paving the way to clinical trial readiness and enhanced understanding of disease in degenerative ataxias.

Magnetic resonance spectroscopy (MRS) is applied to investigate the neurochemical profiles of degenerative hereditary ataxias. This meta-analysis provides a quantitative review and reappraisal of MRS findings in spinocerebellar ataxias (SCA) and Friedreich ataxia (FA) available to date. From each study, changes in N-acetyl aspartate (NAA), choline-containing compounds (Cho) and myo-Inositol (mI) ratios to total creatine (Cr) were calculated for groups of patients (1499 patients in total: SCA1 = 223, SCA2 = 298, SCA3 = 711, SCA6 = 165, and FA = 102) relative to their own control group, mostly in cerebellum and pons. SCA1, 2, 3, 6, and FA patients showed overall decreased NAA/Cr compared to controls. Decreased Cho/Cr was visible in SCA1, 2, and 3 and elevated mI/Cr in SCA2 patients in cerebellum. In SCA6 and FA Cho/Cr and mI/Cr did not differ with respect to controls but SCA6 patients indicated higher Cho/Cr compared to SCA1 patients in cerebellum. SCA2 subjects showed the lowest NAA/Cr and Cho/Cr in cerebellum and the highest mI/Cr compared to controls and other genotypes, and therefore the most promising results for a potential biomarker., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

We propose a fully nonsupervised methodology dedicated to the fast registration of positron emission tomography (PET) and magnetic resonance images of the brain. First, discrete representations of the surfaces of interest (head or brain surface) are automatically extracted from both images. Then, a shape-independent surface-matching algorithm gives a rigid body transformation, which allows the transfer of information between both modalities. A three-dimensional (3D) extension of the chamfer-matching principle makes up the core of this surface-matching algorithm. The optimal transformation is inferred from the minimization of a quadratic generalized distance between discrete surfaces, taking into account between-modality differences in the localization of the segmented surfaces. The minimization process is efficiently performed via the precomputation of a 3D distance map. Validation studies using a dedicated brain-shaped phantom have shown that the maximum registration error was of the order of the PET pixel size (2 mm) for the wide variety of tested configurations. The software is routinely used today in a clinical context by the physicians of the Service Hospitalier Frédéric Joliot (> 150 registrations performed). The entire registration process requires approximately 5 min on a conventional workstation.