F
Fabrizio Tagliavini
Researcher at Carlo Besta Neurological Institute
Publications - 422
Citations - 21532
Fabrizio Tagliavini is an academic researcher from Carlo Besta Neurological Institute. The author has contributed to research in topics: Frontotemporal dementia & Amyloid. The author has an hindex of 73, co-authored 380 publications receiving 18785 citations. Previous affiliations of Fabrizio Tagliavini include University of Parma & Laval University.
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Journal ArticleDOI
Alzheimer neuropathology without frontotemporal lobar degeneration hallmarks (TAR DNA-binding protein 43 inclusions) in missense progranulin mutation Cys139Arg
Veronica Redaelli,Giacomina Rossi,Emanuela Maderna,Gabor G. Kovacs,Elena Piccoli,Paola Caroppo,Francesca Cacciatore,Sonia Spinello,Marina Grisoli,Giuliano Sozzi,Andrea Salmaggi,Fabrizio Tagliavini,Giorgio Giaccone +12 more
TL;DR: It is suggested that some GRN mutations, in particular missense ones, may act as strong risk factor for Alzheimer disease rather than induce FTLD‐TDP.
Journal ArticleDOI
Italian consensus recommendations for a biomarker-based aetiological diagnosis in mild cognitive impairment patients.
Marina Boccardi,Valentina Nicolosi,Cristina Festari,Angelo Bianchetti,Stefano F. Cappa,Davide Chiasserini,Andrea Falini,Ugo Paolo Guerra,Flavio Nobili,A. Padovani,Giuseppe Sancesario,S. Morbelli,Lucilla Parnetti,Pietro Tiraboschi,Cristina Muscio,Daniela Perani,Francesca B. Pizzini,A. Beltramello,G. Salvini Porro,Marcello Ciaccio,Orazio Schillaci,M. Trabucchi,Fabrizio Tagliavini,Giovanni B. Frisoni +23 more
TL;DR: The aim was to develop a biomarker‐based diagnostic algorithm for mild cognitive impairment patients, leveraging on knowledge from recognized national experts.
Journal ArticleDOI
Infectivity in Skeletal Muscle of Cattle with Atypical Bovine Spongiform Encephalopathy
Silvia Suardi,Chiara Vimercati,Cristina Casalone,Daniela Gelmetti,Cristiano Corona,Barbara Iulini,Maria Mazza,Guerino Lombardi,Fabio Moda,Margherita Ruggerone,Ilaria Campagnani,Elena Piccoli,Marcella Catania,Martin H. Groschup,Anne Balkema-Buschmann,Maria Caramelli,Salvatore Monaco,Gianluigi Zanusso,Fabrizio Tagliavini +18 more
TL;DR: The novel information on the neuromuscular tropism of the BASE strain, efficiently overcoming species barriers, underlines the relevance of maintaining an active surveillance.
Journal ArticleDOI
Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort
Claire Cury,Claire Cury,Stanley Durrleman,David M. Cash,David M. Cash,Marco Lorenzi,Marco Lorenzi,Jennifer M. Nicholas,Jennifer M. Nicholas,Martina Bocchetta,John C. van Swieten,Barbara Borroni,Daniela Galimberti,Mario Masellis,Maria Carmela Tartaglia,James B. Rowe,Caroline Graff,Caroline Graff,Fabrizio Tagliavini,Giovanni B. Frisoni,Robert Laforce,Elizabeth Finger,Alexandre de Mendonça,Sandro Sorbi,Sebastien Ourselin,Sebastien Ourselin,Sebastien Ourselin,Jonathan D. Rohrer,Marc Modat,Marc Modat,Marc Modat,Christin Andersson,Silvana Archetti,Andrea Arighi,Luisa Benussi,Sandra E. Black,Maura Cosseddu,Marie Fallstrm,Carlos Ferreira,Chiara Fenoglio,Nick C. Fox,Morris Freedman,Giorgio G. Fumagalli,Stefano Gazzina,Roberta Ghidoni,Marina Grisoli,Vesna Jelic,Lize C. Jiskoot,Ron Keren,Gemma Lombardi,Carolina Maruta,Lieke H.H. Meeter,Rick van Minkelen,Benedetta Nacmias,Linn ijerstedt,Alessandro Padovani,Jessica L. Panman,Michela Pievani,Cristina Polito,Enrico Premi,Sara Prioni,Rosa Rademakers,Veronica Redaelli,Ekaterina Rogaeva,Giacomina Rossi,Martin N. Rossor,Elio Scarpini,David F. Tang-Wai,Carmela Tartaglia,Håkan Thonberg,Pietro Tiraboschi,Ana Verdelho,Jason D. Warren +72 more
TL;DR: A spatiotemporal analysis pipeline based on Large Diffeomorphic Deformation Metric Mapping (LDDMM) to detect shape changes from volumetric MRI scans is proposed and found statistical differences in shape in the anterior region of the thalamus at least five years before the mutation carrier subjects develop any clinical symptoms.
Journal ArticleDOI
Low-dose CT for the spatial normalization of PET images: A validation procedure for amyloid-PET semi-quantification.
Luca Presotto,Leonardo Iaccarino,Arianna Sala,Emilia Giovanna Vanoli,Cristina Muscio,Anna Nigri,Maria Grazia Bruzzone,Fabrizio Tagliavini,Luigi Gianolli,Daniela Perani,Valentino Bettinardi +10 more
TL;DR: The proposed analysis pipeline, based on low-dose CT images, allows accurate spatial normalization and subsequent PET image quantification and could benefit both research and clinical practice, allowing the recruitment of larger samples and favoring clinical routine analysis.