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Maria A. Rocca

Researcher at Vita-Salute San Raffaele University

Publications -  647
Citations -  29881

Maria A. Rocca is an academic researcher from Vita-Salute San Raffaele University. The author has contributed to research in topics: Multiple sclerosis & Magnetic resonance imaging. The author has an hindex of 83, co-authored 556 publications receiving 25283 citations. Previous affiliations of Maria A. Rocca include University at Buffalo & Katholieke Universiteit Leuven.

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Proceedings ArticleDOI

Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification

TL;DR: In this paper, a two-step mathematical framework allowing to discriminate between two groups of people with an application to multiple sclerosis was proposed, which exploits the properties of the connectivity matrices determined using the covariances between signals of a fixed set of brain areas.
Journal ArticleDOI

Effectiveness and safety profile of cladribine in an Italian real-life cohort of relapsing–remitting multiple sclerosis patients: a monocentric longitudinal observational study

TL;DR: In this paper , a monocentric, observational, real-world study on active relapsing MS patients treated with cladribine was conducted and the relationship between baseline characteristics and outcomes was tested to identify predictors of response.
Proceedings ArticleDOI

Choroid Plexus Enlargement in Pediatric Multiple Sclerosis: Clinical Relevance and Effect of Sex (P10-3.009)

TL;DR: Filippi et al. as mentioned in this paper investigated choroid plexus (CP) volume in pediatric multiple sclerosis (MS) patients compared to matched healthy controls (HC), possible sex-related effect, and the associations with clinical and structural MRI variables.
Proceedings ArticleDOI

CSF-In Gradient of Thalamic and Cortical Damage in Multiple Sclerosis: A 3T Magnetization Transfer Ratio Study (S27.002)

TL;DR: In this article , the authors explored the cortical and thalamic microstructural abnormalities in MS patients according to a progressive distance from the CSF and their clinical relevance, and found that a clinically relevant CSF-in gradient of damage can be detected at 3T in the cortex and the thalamus.
Proceedings ArticleDOI

Identification of Neuropsychological Phenotypes in Pediatric Multiple Sclerosis Using Unsupervised Machine Learning (P12-9.001)

TL;DR: In this paper , a comprehensive neuropsychological battery (Selective Reminding Test, Spatial Recall Test, Trail Making Test, Symbol Digit Modalities Test, Semantic verbal fluency test and Phonemic verbal fluencies test) was administered to all patients.