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Background: Spinocerebellar ataxias (SCAs) are a group of neurodegenerative disorders characterized by progressive ataxia. Although previous studies have focused on cerebral and cerebellar damage, spinal cord involvement in SCAs remains underexplored., Objectives: This study aims to characterize spinal cord abnormalities in SCA2, SCA3, and SCA6 and to identify its phenotypic correlates., Methods: We conducted a multimodal spinal neuroimaging study on 26 SCA3, 16 SCA2, and 14 SCA6 patients, along with matched healthy controls. MRI scanning was performed using a 3 Tesla device, and the Spinal Cord Toolbox (SCT) was employed for morphometric and diffusivity analyses of the cervical spinal cord., Results: Our findings revealed significant spinal cord atrophy and altered white matter microstructural metrics in SCA3 and SCA2 patients compared to controls, with no abnormalities in SCA6. A strong negative correlation was observed between cross-sectional cord area and disease duration in SCA2, suggesting its potential as a biomarker for disease progression., Conclusions: This study highlights the importance of spinal cord imaging in understanding the pathophysiology of SCAs and demonstrates the utility of MRI-based metrics in identifying structural deviations and their clinical correlates. Further longitudinal studies are needed to validate these findings and explore their implications for clinical trials and therapeutic interventions., Competing Interests: Declarations. Conflicts of interest: The authors declare no conflits of interest. Ethical approval: Ethics Committee of Clinics Hospital at University of Campinas approved the study protocol (registered as “CAAE 29869520.8.3001.5404”). The Study was performed compliant to the Declaration of Helsinki., (© 2024. Springer-Verlag GmbH Germany, part of Springer Nature.)

Purpose: Default mode network (DMN) has emerged as a potential biomarker of Alzheimer's disease (AD); however, it is not clear whether it can differentiate amnestic mild cognitive impairment with altered amyloid (aMCI-Aβ +) who will evolve to AD. We evaluated if structural and functional connectivity (FC), hippocampal volumes (HV), and cerebrospinal fluid biomarkers (CSF-Aβ 42 , p-Tau, and t-Tau) can differentiate aMCI-Aβ + converters from non-converters., Methods: Forty-eight individuals (18 normal controls and 30 aMCI subjects in the AD continuum - with altered Aβ 42 in the CSF) were followed up for an average of 13 months. We used MultiAtlas, UF 2 C, and Freesurfer software to evaluate diffusion tensor imaging, FC, and HV, respectively, INNOTEST® kits to measure CSF proteins, and neuropsychological tests. Besides, we performed different MANOVAs with further univariate analyses to differentiate groups., Results: During follow-up, 8/30 aMCI-Aβ + converted (26.6%) to AD dementia. There were no differences in multivariate analysis between groups in CSF biomarkers (p = 0.092) or at DMN functional connectivity (p = 0.814). aMCI-Aβ + converters had smaller right HV than controls (p = 0.013), and greater right cingulum parahippocampal bundle radial diffusivity than controls (p < 0.001) and non-converters (p = 0.036)., Conclusion: In this exploratory study, structural, but not functional, DMN connectivity alterations may differentiate aMCI-Aβ + subjects who converted to AD dementia., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Spinocerebellar ataxia type 1 is an autosomal dominant disorder caused by a CAG repeat expansion in ATXN1, characterized by progressive cerebellar and extracerebellar symptoms. MRI-based studies in SCA1 focused in the cerebellum and connections, but there are few data about supratentorial/spinal damage and its clinical relevance. We have thus designed this multimodal MRI study to uncover the structural signature of SCA1. To accomplish that, a group of 33 patients and 33 age-and gender-matched healthy controls underwent MRI on a 3T scanner. All patients underwent a comprehensive neurological and neuropsychological evaluation. We correlated the structural findings with the clinical features of the disease. In addition, we evaluated the disease progression looking at differences in SCA1 subgroups defined by disease duration. Ataxia and pyramidal signs were the main symptoms. Neuropsychological evaluation disclosed cognitive impairment in 53% with predominant frontotemporal dysfunction. Gray matter analysis unfolded cortical thinning of primary and associative motor areas with more restricted impairment of deep structures. Deep gray matter atrophy was associated with motor handicap and poor cognition skills. White matter integrity loss was diffuse in the brainstem but restricted in supratentorial structures. Cerebellar cortical thinning was found in multiple areas and correlated not only with motor disability but also with verbal fluency. Spinal cord atrophy correlated with motor handicap. Comparison of MRI findings in disease duration-defined subgroups identified a peculiar pattern of progressive degeneration.