M
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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Documentation of Acute Neck Pain in a Patient Using Functional MR Imaging
TL;DR: Neuroimaging was applied to provide visual documentation of the presence of pain in a patient complaining of long-term neck pain, and activation in the pain-related brain matrix was increased after induced pain, compared with a resting baseline condition.
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Motor network rewiring in mild cognitive impairment and Alzheimer's disease
Federica Agosta,Maria A. Rocca,Elisabetta Pagani,Martina Absinta,Giuseppe Magnani,Alessandra Marcone,Monica Falautano,Giancarlo Comi,Maria Luisa Gorno-Tempini,Massimo Filippi +9 more
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Assessment of the genetic contribution to brain magnetic resonance imaging lesion load and atrophy measures in multiple sclerosis patients.
Ferdinando Clarelli,Maria A. Rocca,Silvia Santoro,Ermelinda De Meo,Laura Ferrè,Melissa Sorosina,Filippo Martinelli Boneschi,Federica Esposito,Massimo Filippi +8 more
TL;DR: In this paper, the authors assessed genetic factors influencing quantitative neuroimaging measures in two cohorts of progressive multiple sclerosis (PMS) and relapsing-remitting MS (RRMS) patients.
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Relation of sensorimotor and cognitive cerebellum functional connectivity with brain structural damage in patients with multiple sclerosis and no disability
Silvia Tommasin,Viktoriia Iakovleva,Maria A. Rocca,Costanza Giannì,Gioacchino Tedeschi,N. De Stefano,Carlo Pozzilli,Massimo Filippi,Patrizia Pantano +8 more
TL;DR: To investigate the relationship between the functional connectivity of the sensorimotor and cognitive cerebellum and measures of structural damage in patients with multiple sclerosis and no physical disability, data are obtained on rats with and without a physical disability.
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Methods for Brain Atrophy MR Quantification in Multiple Sclerosis: Application to the Multicenter INNI Dataset.
Loredana Storelli,Elisabetta Pagani,Patrizia Pantano,Claudia Piervincenzi,Gioacchino Tedeschi,Antonio Gallo,N. De Stefano,Marco Battaglini,Maria A. Rocca,Massimo Filippi +9 more
TL;DR: In this article , the authors compared methods for whole-brain and gray-matter (GM) atrophy measurements using the Italian Neuroimaging Network Initiative (INNI) dataset.