G
Giovanni B. Frisoni
Researcher at University of Geneva
Publications - 956
Citations - 55940
Giovanni B. Frisoni is an academic researcher from University of Geneva. The author has contributed to research in topics: Dementia & Medicine. The author has an hindex of 101, co-authored 871 publications receiving 46199 citations. Previous affiliations of Giovanni B. Frisoni include Geneva College & University of Rome Tor Vergata.
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Csf biomarkers and effect of apolipoprotein e genotype, age and sex on cut-off derivation in mild cognitive impairment
Moira Marizzoni,Clarissa Ferrari,Samantha Galluzzi,Jorge Jovicich,Diego Albani,Claudio Babiloni,Mira Didic,Gianluigi Forloni,José Luis Molinuevo,Flavio Nobili,Lucilla Parnetti,Pierre Payoux,Paolo Maria Rossini,Peter Schönknecht,Andrea Soricelli,Magda Tsolaki,Pieter Jelle Visser,Jens Wiltfang,Régis Bordet,Libera Cavaliere,Jill C. Richardson,Olivier Blin,Giovanni B. Frisoni +22 more
Journal ArticleDOI
Differential associations of Head and Body Symptoms with depression and physical comorbidity in patients with cognitive impairment
TL;DR: To test the hypothesis that physical symptoms referred to the head might be specifically associated with depression in patients with cognitive impairment, a positron emission tomography study is conducted.
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Validation of the eadc-adni harmonized protocol for manual hippocampal segmentation
Marina Boccardi,Clifford R. Jack,Martina Bocchetta,Corinna M. Bauer,Kristian Steen Frederiksen,Yawu Liu,Gregory M. Preboske,Tim Swihart,Melanie Blair,Enrica Cavedo,Michel J. Grothe,Mariangela Lanfredi,Oliver Martinez,Masami Nishikawa,Marileen Portegies,Travis R. Stoub,Chad Ward,Liana G. Apostolova,Rossana Ganzola,Dominik Wolf,Clarissa Ferrari,Paolo Bosco,Simon Duchesne,Giovanni B. Frisoni +23 more
TL;DR: Subjective memory impairment was found to have no relationship with amyloid load determined a decade later, suggesting their limited clinical use, and multivariate modelling which weights memory reports with concurrent symptomatology and risk factors will have the greatest value in providing an early marker of those at risk of cognitive decline.
Improved reproducibility of neuroanatomical definitions through diffeomorphometry and complexity reduction
Daniel J. Tward,Jorge Jovicich,Andrea Soricelli,Giovanni B. Frisoni,Alain Trouvé,Laurent Younes,Michael I. Miller +6 more
TL;DR: An algorithm for passing from dense noisy neuroanatomical segmentations, directly to a complexity-reduced representation with respect to a deformed smooth template surface, bypassing the need for triangulation of any target data is presented.