Stefano Ziccardi
Affiliations: | 2016- | Department of Neurosciences, Biomedicine and Movement Sciences | University of Verona, Verona, Italy |
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| Ziccardi S, Fuchs T, Dwyer MG, et al. (2023) Cognitive phenotypes predict response to restorative cognitive rehabilitation in multiple sclerosis. Multiple Sclerosis (Houndmills, Basingstoke, England). 13524585231208331 |
| Ziccardi S, Pisani AI, Schiavi GM, et al. (2023) Cortical lesions at diagnosis predict long-term cognitive impairment in multiple sclerosis: A 20-year study. European Journal of Neurology |
| Ziccardi S, Pizzini FB, Guandalini M, et al. (2022) Making Visible the Invisible: Automatically Measured Global and Regional Brain Volume Is Associated with Cognitive Impairment and Fatigue in Multiple Sclerosis. Bioengineering (Basel, Switzerland). 10 |
| Pitteri M, Magliozzi R, Nicholas R, et al. (2021) Cerebrospinal fluid inflammatory profile of cognitive impairment in newly diagnosed multiple sclerosis patients. Multiple Sclerosis (Houndmills, Basingstoke, England). 13524585211032510 |
| Pitteri M, Dapor C, Ziccardi S, et al. (2021) A Videogame-Based Approach to Measuring Information Processing Speed in Multiple Sclerosis Patients. Games For Health Journal. 10: 115-120 |
| Ziccardi S, Pitteri M, Genova HM, et al. (2021) Social Cognition in Multiple Sclerosis: A 3-Year Follow-Up MRI and Behavioral Study. Diagnostics (Basel, Switzerland). 11 |
| Magliozzi R, Pitteri M, Ziccardi S, et al. (2021) CSF parvalbumin levels reflect interneuron loss linked with cortical pathology in multiple sclerosis. Annals of Clinical and Translational Neurology |
| Pitteri M, Dapor C, Ziccardi S, et al. (2020) Visual-Attentional Load Unveils Slowed Processing Speed in Multiple Sclerosis Patients: A Pilot Study with a Tablet-Based Videogame. Brain Sciences. 10 |
| Magliozzi R, Scalfari A, Pisani AI, et al. (2020) The CSF profile linked to cortical damage predicts Multiple Sclerosis activity. Annals of Neurology |
| Fuchs TA, Ziccardi S, Benedict RHB, et al. (2020) Functional Connectivity and Structural Disruption in the Default-Mode Network Predicts Cognitive Rehabilitation Outcomes in Multiple Sclerosis. Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging |