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1.
J Neurol ; 265(3): 597-606, 2018 Mar.
Article in English | MEDLINE | ID: mdl-29356974

ABSTRACT

Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disease involving the cerebellum and characterized by a typical motor syndrome. In addition, the presence of cognitive impairment is now widely acknowledged as a feature of SCA2. Given the extensive connections between the cerebellum and associative cerebral areas, it is reasonable to hypothesize that cerebellar neurodegeneration associated with SCA2 may impact on the cerebellar modulation of the cerebral cortex, thus resulting in functional impairment. The aim of the present study was to investigate and quantitatively map the pattern of cerebellar gray matter (GM) atrophy due to SCA2 neurodegeneration and to correlate that with patients' cognitive performances. Cerebellar GM maps were extracted and compared between SCA2 patients (n = 9) and controls (n = 33) by using voxel-based morphometry. Furthermore, the relationship between cerebellar GM atrophy and neuropsychological scores of the patients was assessed. Specific cerebellar GM regions were found to be affected in patients. Additionally, GM loss in cognitive posterior lobules (VI, Crus I, Crus II, VIIB, IX) correlated with visuospatial, verbal memory and executive tasks, while additional correlations with motor anterior (V) and posterior (VIIIA, VIIIB) lobules were found for the tasks engaging motor and planning components. Our results provide evidence that the SCA2 neurodegenerative process affects the cerebellar cortex and that MRI indices of atrophy in different cerebellar subregions may account for the specificity of cognitive symptomatology observed in patients, as result of a cerebello-cerebral dysregulation.


Subject(s)
Cerebellum/diagnostic imaging , Cognition , Magnetic Resonance Imaging , Spinocerebellar Ataxias/diagnostic imaging , Spinocerebellar Ataxias/psychology , Adult , Aged , Atrophy , Cerebellum/pathology , Executive Function , Female , Gray Matter/diagnostic imaging , Gray Matter/pathology , Humans , Image Processing, Computer-Assisted , Male , Middle Aged , Motor Activity , Neuropsychological Tests , Spinocerebellar Ataxias/genetics , Spinocerebellar Ataxias/pathology
2.
Neuroscience ; 366: 44-53, 2017 Dec 16.
Article in English | MEDLINE | ID: mdl-29031602

ABSTRACT

Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disease involving the cerebellum. The particular atrophy pattern results in some typical clinical features mainly including motor deficits. In addition, the presence of cognitive impairments, involving language, visuospatial and executive functions, has been also shown in SCA2 patients and it is now widely accepted as a feature of the disease. The aim of the study is to investigate the microstructural patterns and the anatomo-functional substrate that could account for the cognitive symptomatology observed in SCA2 patients. In the present study, diffusion tensor imaging (DTI) based-tractography was performed to map the main cerebellar white matter (WM) bundles, such as Middle and Superior Cerebellar Peduncles, connecting cerebellum with higher order cerebral regions. Damage-related diffusivity measures were used to determine the pattern of pathological changes of cerebellar WM microstructure in patients affected by SCA2 and correlated with the patients' cognitive scores. Our results provide the first evidence that WM diffusivity is altered in the presence of the cerebellar cortical degeneration associated with SCA2 thus resulting in a cerebello-cerebral dysregulation that may account for the specificity of cognitive symptomatology observed in patients.


Subject(s)
Cerebellum/pathology , Cognition , Spinocerebellar Ataxias/pathology , Spinocerebellar Ataxias/psychology , White Matter/pathology , Adult , Aged , Cerebellum/diagnostic imaging , Diffusion Magnetic Resonance Imaging , Diffusion Tensor Imaging , Female , Humans , Male , Middle Aged , Neuropsychological Tests , Spinocerebellar Ataxias/diagnostic imaging , White Matter/diagnostic imaging
3.
Neuroimage Clin ; 14: 719-725, 2017.
Article in English | MEDLINE | ID: mdl-28393013

ABSTRACT

Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disease characterized by a progressive cerebellar syndrome, which can be isolated or associated with extracerebellar signs. It has been shown that patients affected by SCA2 present also cognitive impairments and psychiatric symptoms. The cerebellum is known to modulate cortical activity and to contribute to distinct functional networks related to higher-level functions beyond motor control. It is therefore conceivable that one or more networks, rather than isolated regions, may be dysfunctional in cerebellar degenerative diseases and that an abnormal connectivity within specific cerebello-cortical regions might explain the widespread deficits typically observed in patients. In the present study, the network-based statistics (NBS) approach was used to assess differences in functional connectivity between specific cerebellar and cerebral "nodes" in SCA2 patients. Altered inter-nodal connectivity was found between more posterior regions in the cerebellum and regions in the cerebral cortex clearly related to cognition and emotion. Furthermore, more anterior cerebellar lobules showed altered inter-nodal connectivity with motor and somatosensory cerebral regions. The present data suggest that in SCA2 a cerebellar dysfunction affects long-distance cerebral regions and that the clinical symptoms may be specifically related with connectivity changes between motor and non-motor cerebello-cortical nodes.


Subject(s)
Brain Mapping , Cognition Disorders/etiology , Motor Disorders/etiology , Nerve Net/diagnostic imaging , Spinocerebellar Ataxias/complications , Adult , Aged , Cerebellum/diagnostic imaging , Cognition Disorders/diagnostic imaging , Female , Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Male , Middle Aged , Motor Disorders/diagnostic imaging , Oxygen/blood , Rest , Severity of Illness Index
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