Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Michele De Filippo De Grazia"'
Autor:
Rodrigo P. Rocha, Loren Koçillari, Samir Suweis, Michele De Filippo De Grazia, Michel Thiebaut de Schotten, Marco Zorzi, Maurizio Corbetta
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-18 (2022)
The authors investigate the influence of brain injury (strokes) on the criticality of neural dynamics using directly measured connectomes and whole-brain models. They show that lesions engender a sub-critical state that recovers over time in parallel
Externí odkaz:
https://doaj.org/article/97b9a23a6d964786954d6c512d72cdc4
Publikováno v:
Brain Informatics, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Multivariate prediction of human behavior from resting state data is gaining increasing popularity in the neuroimaging community, with far-reaching translational implications in neurology and psychiatry. However, the high dimensionality of n
Externí odkaz:
https://doaj.org/article/0568ce88caa14a438924095e35d7b5f6
Autor:
Daniela D’Imperio, Zaira Romeo, Lorenza Maistrello, Eugenia Durgoni, Camilla Della Pietà, Michele De Filippo De Grazia, Francesca Meneghello, Andrea Turolla, Marco Zorzi
Publikováno v:
Neural Plasticity, Vol 2021 (2021)
The rehabilitation of motor deficits following stroke relies on both sensorimotor and cognitive abilities, thereby involving large-scale brain networks. However, few studies have investigated the integration between motor and cognitive domains, as we
Externí odkaz:
https://doaj.org/article/373fa2048f404c31ba203abf8400e407
Autor:
Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
Stroke causes behavioral deficits in multiple cognitive domains and there is a growing interest in predicting patient performance from neuroimaging data using machine learning techniques. Here, we investigated a deep learning approach based on convol
Externí odkaz:
https://doaj.org/article/a934634cb9d94cf8b06cc56d69dd8135
Publikováno v:
IEEE Access, Vol 3, Pp 1512-1530 (2015)
In response to the new challenges in the design and operation of communication networks, and taking inspiration from how living beings deal with complexity and scalability, in this paper we introduce an innovative system concept called COgnition-BAse
Externí odkaz:
https://doaj.org/article/04303851f76940729c316b2547f06d83
Publikováno v:
Brain Informatics ISBN: 9783031150364
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b999a932fd21ca16a743bd9ec677139b
https://doi.org/10.1007/978-3-031-15037-1_12
https://doi.org/10.1007/978-3-031-15037-1_12
Autor:
Michele De Filippo De Grazia, Lorenza Maistrello, Francesca Meneghello, Marco Zorzi, Daniela D'Imperio, Eugenia Durgoni, Camilla Della Pietà, Zaira Romeo, Andrea Turolla
Publikováno v:
Neural Plasticity, Vol 2021 (2021)
Neural Plasticity
Neural Plasticity
The rehabilitation of motor deficits following stroke relies on both sensorimotor and cognitive abilities, thereby involving large-scale brain networks. However, few studies have investigated the integration between motor and cognitive domains, as we
Autor:
Lorenzo Pini, Maurizio Corbetta, Alessandro Salvalaggio, Marco Zorzi, Michele De Filippo De Grazia, Michel Thiebaut de Schotten
Publikováno v:
Brain-A Journal of Neurology
Brain-A Journal of Neurology, Oxford University Press (OUP), 2021, 144 (1), pp.e6-e6. ⟨10.1093/brain/awaa351⟩
Brain
Brain-A Journal of Neurology, Oxford University Press (OUP), 2021, 144 (1), pp.e6-e6. ⟨10.1093/brain/awaa351⟩
Brain
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d0f30793b29f35ccdac233bee6cbeb5
https://hal.archives-ouvertes.fr/hal-03370244
https://hal.archives-ouvertes.fr/hal-03370244
Publikováno v:
Brain Informatics ISBN: 9783030869922
BI
BI
Recent studies have shown that brain lesions following stroke can be probabilistically mapped onto disconnections of white matter tracts, and that the resulting “disconnectome” is predictive of the patient’s behavioral deficits. Disconnectome m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fa722c36b3ef94ef0ec72fc15a4ffc7
https://doi.org/10.1007/978-3-030-86993-9_20
https://doi.org/10.1007/978-3-030-86993-9_20
Autor:
Michele De Filippo De Grazia, Alessandro Salvalaggio, Lorenzo Pini, Maurizio Corbetta, Michel Thiebaut de Schotten, Marco Zorzi
Publikováno v:
Brain Communications
Lesion network mapping estimates functional network abnormalities caused by a focal brain lesion. The method requires embedding the volume of the lesion into a normative functional connectome and using the average functional magnetic resonance imagin