M
Martina Bocchetta
Researcher at UCL Institute of Neurology
Publications - 161
Citations - 5957
Martina Bocchetta is an academic researcher from UCL Institute of Neurology. The author has contributed to research in topics: Frontotemporal dementia & Medicine. The author has an hindex of 32, co-authored 121 publications receiving 4061 citations. Previous affiliations of Martina Bocchetta include University of Brescia & University College London.
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Journal ArticleDOI
Brain atrophy in Alzheimer's Disease and aging.
Lorenzo Pini,Michela Pievani,Martina Bocchetta,Daniele Altomare,Paolo Bosco,Enrica Cavedo,Samantha Galluzzi,Moira Marizzoni,Giovanni B. Frisoni +8 more
TL;DR: A comprehensive overview of the main findings in AD and normal aging over the past twenty years, focusing on the patterns of gray and white matter changes assessed in vivo using MRI.
Journal ArticleDOI
Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis
Jonathan D. Rohrer,Jennifer M. Nicholas,Jennifer M. Nicholas,David M. Cash,John C. van Swieten,Elise G.P. Dopper,Lize C. Jiskoot,Rick van Minkelen,Serge A.R.B. Rombouts,M. Jorge Cardoso,Shona Clegg,Miklos Espak,Simon Mead,David L. Thomas,Enrico De Vita,Mario Masellis,Sandra E. Black,Morris Freedman,Ron Keren,Bradley J. MacIntosh,Ekaterina Rogaeva,David F. Tang-Wai,Maria Carmela Tartaglia,Robert Laforce,Fabrizio Tagliavini,Pietro Tiraboschi,Veronica Redaelli,Sara Prioni,Marina Grisoli,Barbara Borroni,Alessandro Padovani,Daniela Galimberti,Elio Scarpini,Andrea Arighi,Giorgio G. Fumagalli,James B. Rowe,Ian Coyle-Gilchrist,Caroline Graff,Caroline Graff,Marie Fallström,Vesna Jelic,Vesna Jelic,Anne Kinhult Ståhlbom,Anne Kinhult Ståhlbom,Christin Andersson,Christin Andersson,Håkan Thonberg,Håkan Thonberg,Lena Lilius,Giovanni B. Frisoni,Giuliano Binetti,Michela Pievani,Martina Bocchetta,Luisa Benussi,Roberta Ghidoni,Elizabeth Finger,Sandro Sorbi,Benedetta Nacmias,Gemma Lombardi,Cristina Polito,Jason D. Warren,Sebastien Ourselin,Nick C. Fox,Martin N. Rossor +63 more
TL;DR: Structural imaging and cognitive changes can be identified 5-10 years before expected onset of symptoms in asymptomatic adults at risk of genetic frontotemporal dementia, which could help to define biomarkers that can stage presymPTomatic disease and track disease progression.
Journal ArticleDOI
Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Subregions in In Vivo MRI: Towards a Harmonized Segmentation Protocol
Paul A. Yushkevich,Robert S. C. Amaral,Jean C. Augustinack,Andrew R. Bender,Jeffrey D. Bernstein,Marina Boccardi,Martina Bocchetta,Alison C. Burggren,Valerie A. Carr,M. Mallar Chakravarty,Gaël Chételat,Ana M. Daugherty,Lila Davachi,Songlin Ding,Arne D. Ekstrom,Mirjam I. Geerlings,Abdul S. Hassan,Yushan Huang,J. Eugenio Iglesias,Renaud La Joie,Geoffrey A. Kerchner,Karen F. LaRocque,Laura A. Libby,Nikolai Malykhin,Susanne G. Mueller,Rosanna K. Olsen,Daniela J. Palombo,Mansi B. Parekh,John Pluta,Alison R. Preston,Jens C. Pruessner,Charan Ranganath,Naftali Raz,Margaret L. Schlichting,Dorothee Schoemaker,Sachi Singh,Craig E.L. Stark,Nanthia Suthana,Alexa Tompary,Marta M. Turowski,Koen Van Leemput,Anthony D. Wagner,Lei Wang,Julie L. Winterburn,Laura E.M. Wisse,Michael A. Yassa,Michael Zeineh +46 more
TL;DR: The combined examination of the 21 protocols in the same dataset suggests possible strategies towards developing a harmonized subfield segmentation protocol and facilitates comparison between published studies.
Journal ArticleDOI
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology.
Juan Eugenio Iglesias,Ricardo Insausti,Garikoitz Lerma-Usabiaga,Martina Bocchetta,Koen Van Leemput,Douglas N. Greve,Andre van der Kouwe,Bruce Fischl,César Caballero-Gaudes,Pedro M. Paz-Alonso +9 more
TL;DR: In this paper, a probabilistic atlas of the thalamic nuclei built using ex vivo brain MRI scans and histological data, as well as the application of the atlas to in vivo MRI segmentation is presented.
Journal ArticleDOI
Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
Alexandra L. Young,Razvan V. Marinescu,Neil P. Oxtoby,Martina Bocchetta,Keir Yong,Nicholas C. Firth,David M. Cash,David L. Thomas,Katrina M. Dick,Jorge Cardoso,Jorge Cardoso,John C. van Swieten,Barbara Borroni,Daniela Galimberti,Daniela Galimberti,Mario Masellis,Maria Carmela Tartaglia,James B. Rowe,Caroline Graff,Fabrizio Tagliavini,Giovanni B. Frisoni,Robert Laforce,Elizabeth Finger,Alexandre de Mendonça,Sandro Sorbi,Jason D. Warren,Sebastian J. Crutch,Nick C. Fox,Sebastien Ourselin,Jonathan M. Schott,Jonathan D. Rohrer,Daniel C. Alexander +31 more
TL;DR: A machine-learning technique—Subtype and Stage Inference (SuStaIn)—able to uncover data-driven disease phenotypes with distinct temporal progression patterns, from widely available cross-sectional patient studies is introduced, using two neurodegenerative disease cohorts.