Giovanni B. Frisoni
University of Geneva
971 Papers
5K Citations
Giovanni B. Frisoni is an academic researcher from University of Geneva. The author has contributed to research in topics: Medicine & Dementia. The author has an hindex of 101, co-authored 871 publications. Previous affiliations of Giovanni B. Frisoni include Geneva College & University of Rome Tor Vergata.
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Papers
LEIPAD Questionnaire: A cross-cultural instrument to assess the quality of life in the elderly
D. DeLeo,R. F W Dickstra,Giovanni B. Frisoni,Renzo Rozzini,M. Cleiren,J. Lonnqvist,M. Zucehetto,M. Dello Buono,Maria Bernardini,F. Grigoletto,M. Trabucchi +10 more
TL;DR: If valid, the Spanish version of the SIP will be a useful instrument for measuring dysfunction in Spain, and reliability found for the PCE is at least as high as that described for the original.
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Ic‐p‐006: the incremental value of amyloid pet versus csf biomarkers for the diagnosis of alzheimer's disease (india–fbb study)
Matteo Cotta Ramusino,Daniele Altomare,Frédéric Assal,Aline Mendes,Alfredo Costa,Silvia Morbelli,Matteo Bauckneht,Agnese Picco,Massimo E. Dottorini,Lucia Farotti,Davide V. Moretti,Giordano Savelli,Anna Tarallo,Lucilla Parnetti,Flavio Nobili,Maura Parapini,Elena Salvatore,Marco Salvatore,Marina Boccardi,Giovanni B. Frisoni +19 more
TL;DR: This research presents a novel probabilistic approach to Alzheimer's disease that combines cell reprograming, using a “spatially aggregating” approach, which combines “cell-based” and “dynamic” approaches.
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In vivo neuropathology of cortical changes in incipient Alzheimer's disease
TL;DR: Structural gray matter changes in amnestic MCI patients who develop AD in the short term map to cortical areas pertaining to memory networks known to be affected in the earliest stages of the pathology.
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Probabilistic Flux Analysis of Cerebral Longitudinal Atrophy
Marco Lorenzi,Giovanni B. Frisoni,Nicholas Ayache,Xavier Pennec +3 more
- 01 Jan 2012
TL;DR: In this paper, the LCC-Demons algorithm was used to quantify the longitudinal changes of a given subject by registration of follow-up images, and the resulting measures led to statistically powered results, and to consistent longitudinal measures in terms of symmetry, transitivity and linearity.
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