Alessandro D'Ambrosio1, Elisabetta Pagani1, Gianna C Riccitelli1, Bruno Colombo2, Mariaemma Rodegher2, Andrea Falini3, Giancarlo Comi1, Massimo Filippi4, Maria A Rocca4. 1. Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy. 2. Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy. 3. Department of Neuroradiology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy. 4. Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy/Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Abstract
OBJECTIVE: To investigate the role of cerebellar sub-regions on motor and cognitive performance in multiple sclerosis (MS) patients. METHODS: Whole and sub-regional cerebellar volumes, brain volumes, T2 hyperintense lesion volumes (LV), and motor performance scores were obtained from 95 relapse-onset MS patients and 32 healthy controls (HC). MS patients also underwent an evaluation of working memory and processing speed functions. Cerebellar anterior and posterior lobes were segmented using the Spatially Unbiased Infratentorial Toolbox (SUIT) from Statistical Parametric Mapping (SPM12). Multivariate linear regression models assessed the relationship between magnetic resonance imaging (MRI) measures and motor/cognitive scores. RESULTS: Compared to HC, only secondary progressive multiple sclerosis (SPMS) patients had lower cerebellar volumes (total and posterior cerebellum). In MS patients, lower anterior cerebellar volume and brain T2 LV predicted worse motor performance, whereas lower posterior cerebellar volume and brain T2 LV predicted poor cognitive performance. Global measures of brain volume and infratentorial T2 LV were not selected by the final multivariate models. CONCLUSION: Cerebellar volumetric abnormalities are likely to play an important contribution to explain motor and cognitive performance in MS patients. Consistently with functional mapping studies, cerebellar posterior-inferior volume accounted for variance in cognitive measures, whereas anterior cerebellar volume accounted for variance in motor performance, supporting the assessment of cerebellar damage at sub-regional level.
OBJECTIVE: To investigate the role of cerebellar sub-regions on motor and cognitive performance in multiple sclerosis (MS) patients. METHODS: Whole and sub-regional cerebellar volumes, brain volumes, T2 hyperintense lesion volumes (LV), and motor performance scores were obtained from 95 relapse-onset MSpatients and 32 healthy controls (HC). MSpatients also underwent an evaluation of working memory and processing speed functions. Cerebellar anterior and posterior lobes were segmented using the Spatially Unbiased Infratentorial Toolbox (SUIT) from Statistical Parametric Mapping (SPM12). Multivariate linear regression models assessed the relationship between magnetic resonance imaging (MRI) measures and motor/cognitive scores. RESULTS: Compared to HC, only secondary progressive multiple sclerosis (SPMS) patients had lower cerebellar volumes (total and posterior cerebellum). In MSpatients, lower anterior cerebellar volume and brain T2 LV predicted worse motor performance, whereas lower posterior cerebellar volume and brain T2 LV predicted poor cognitive performance. Global measures of brain volume and infratentorial T2 LV were not selected by the final multivariate models. CONCLUSION:Cerebellar volumetric abnormalities are likely to play an important contribution to explain motor and cognitive performance in MSpatients. Consistently with functional mapping studies, cerebellar posterior-inferior volume accounted for variance in cognitive measures, whereas anterior cerebellar volume accounted for variance in motor performance, supporting the assessment of cerebellar damage at sub-regional level.
Authors: Katherine Hope Kenyon; Frederique Boonstra; Gustavo Noffs; Helmut Butzkueven; Adam P Vogel; Scott Kolbe; Anneke van der Walt Journal: Cerebellum Date: 2022-06-27 Impact factor: 3.648
Authors: Ludwig Rasche; Michael Scheel; Karen Otte; Patrik Althoff; Annemieke B van Vuuren; Rene M Gieß; Joseph Kuchling; Judith Bellmann-Strobl; Klemens Ruprecht; Friedemann Paul; Alexander U Brandt; Tanja Schmitz-Hübsch Journal: Front Neurol Date: 2018-08-29 Impact factor: 4.003
Authors: Lil Meyer-Arndt; Stefan Hetzer; Susanna Asseyer; Judith Bellmann-Strobl; Michael Scheel; Jan-Patrick Stellmann; Christoph Heesen; Andreas K Engel; Alexander U Brandt; John-Dylan Haynes; Friedemann Paul; Stefan M Gold; Martin Weygandt Journal: Neurobiol Stress Date: 2020-07-27