M Calabrese1, M Castellaro2, A Bertoldo2, A De Luca3, F B Pizzini4, G K Ricciardi4, M Pitteri1, S Zimatore4, R Magliozzi5, M D Benedetti1, P Manganotti6, S Montemezzi4, R Reynolds7, A Gajofatto1, S Monaco1. 1. Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy. 2. Department of Information Engineering, University of Padova, Padova, Italy. 3. Department of Information Engineering, University of Padova, Padova, Italy/Scientific Institute, IRCCS "Eugenio Medea", Neuroimaging Lab, Bosisio Parini, LC, Italy. 4. Neuroradiology and Radiology Units, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy. 5. Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy/Division of Brain Sciences, Faculty of Medicine, Hammersmith Hospital, Imperial College London, London, UK. 6. Neurology Section, University Hospital of Trieste, Trieste, Italy. 7. Division of Brain Sciences, Faculty of Medicine, Hammersmith Hospital, Imperial College London, London, UK.
Abstract
BACKGROUND: Although temporal lobe pathology may explain some of the symptoms of multiple sclerosis (MS), its role in the pathogenesis of seizures has not been clarified yet. OBJECTIVES: To investigate the role of temporal lobe damage in MS patients suffering from epilepsy, by the application of advanced multimodal 3T magnetic resonance imaging (MRI) analysis. METHODS: A total of 23 relapsing remitting MS patients who had epileptic seizures (RRMS/E) and 23 disease duration matched RRMS patients without any history of seizures were enrolled. Each patient underwent advanced 3T MRI protocol specifically conceived to evaluate grey matter (GM) damage. This includes grey matter lesions (GMLs) identification, evaluation of regional cortical thickness and indices derived from the Neurite Orientation Dispersion and Density Imaging model. RESULTS: Regional analysis revealed that in RRMS/E, the regions most affected by GMLs were the hippocampus (14.2%), the lateral temporal lobe (13.5%), the cingulate (10.0%) and the insula (8.4%). Cortical thinning and alteration of diffusion metrics were observed in several regions of temporal lobe, in insular cortex and in cingulate gyrus of RRMS/E compared to RRMS ( p< 0.05 for all comparisons). CONCLUSIONS: Compared to RRMS, RRMS/E showed more severe damage of temporal lobe, which exceeds what would be expected on the basis of the global GM damage observed.
BACKGROUND: Although temporal lobe pathology may explain some of the symptoms of multiple sclerosis (MS), its role in the pathogenesis of seizures has not been clarified yet. OBJECTIVES: To investigate the role of temporal lobe damage in MSpatients suffering from epilepsy, by the application of advanced multimodal 3T magnetic resonance imaging (MRI) analysis. METHODS: A total of 23 relapsing remitting MSpatients who had epilepticseizures (RRMS/E) and 23 disease duration matched RRMS patients without any history of seizures were enrolled. Each patient underwent advanced 3T MRI protocol specifically conceived to evaluate grey matter (GM) damage. This includes grey matter lesions (GMLs) identification, evaluation of regional cortical thickness and indices derived from the Neurite Orientation Dispersion and Density Imaging model. RESULTS: Regional analysis revealed that in RRMS/E, the regions most affected by GMLs were the hippocampus (14.2%), the lateral temporal lobe (13.5%), the cingulate (10.0%) and the insula (8.4%). Cortical thinning and alteration of diffusion metrics were observed in several regions of temporal lobe, in insular cortex and in cingulate gyrus of RRMS/E compared to RRMS ( p< 0.05 for all comparisons). CONCLUSIONS: Compared to RRMS, RRMS/E showed more severe damage of temporal lobe, which exceeds what would be expected on the basis of the global GM damage observed.
Authors: M Castellaro; R Magliozzi; A Palombit; M Pitteri; E Silvestri; V Camera; S Montemezzi; F B Pizzini; A Bertoldo; R Reynolds; S Monaco; M Calabrese Journal: AJNR Am J Neuroradiol Date: 2017-04-13 Impact factor: 3.825
Authors: Andrew S Lapato; Jenny I Szu; Jonathan P C Hasselmann; Anna J Khalaj; Devin K Binder; Seema K Tiwari-Woodruff Journal: Neuroscience Date: 2017-01-30 Impact factor: 3.590
Authors: Tobias Granberg; Qiuyun Fan; Constantina Andrada Treaba; Russell Ouellette; Elena Herranz; Gabriel Mangeat; Céline Louapre; Julien Cohen-Adad; Eric C Klawiter; Jacob A Sloane; Caterina Mainero Journal: Brain Date: 2017-11-01 Impact factor: 13.501
Authors: Andras Attila Horvath; Emoke Anna Csernus; Sara Lality; Rafal M Kaminski; Anita Kamondi Journal: Front Neurosci Date: 2020-10-15 Impact factor: 4.677
Authors: Roberta Magliozzi; Simon Hametner; Francesco Facchiano; Damiano Marastoni; Stefania Rossi; Marco Castellaro; Alberto Poli; Federico Lattanzi; Andrea Visconti; Richard Nicholas; Richard Reynolds; Salvatore Monaco; Hans Lassmann; Massimiliano Calabrese Journal: Ann Clin Transl Neurol Date: 2019-11-01 Impact factor: 4.511