Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Alessandra, Griffa"'
Autor:
Mathieu Mach, Enrico Amico, Raphaël Liégeois, Maria Giulia Preti, Alessandra Griffa, Dimitri Van De Ville, Mangor Pedersen
Publikováno v:
Harvard Data Science Review (2024)
Externí odkaz:
https://doaj.org/article/9da0566c40d64aedb7b9439fd5d4cc12
Autor:
Alessandra Griffa, Mathieu Mach, Julien Dedelley, Daniel Gutierrez-Barragan, Alessandro Gozzi, Gilles Allali, Joanes Grandjean, Dimitri Van De Ville, Enrico Amico
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Brain communication, defined as information transmission through white-matter connections, is at the foundation of the brain’s computational capacities that subtend almost all aspects of behavior: from sensory perception shared across mamm
Externí odkaz:
https://doaj.org/article/26ea8bdf16e14c41ace2c7a6495fac07
Publikováno v:
Frontiers in Systems Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/d65396058e9f467a93ace22b2abf3abb
Autor:
Yasser Alemán-Gómez, Alessandra Griffa, Jean-Christophe Houde, Elena Najdenovska, Stefano Magon, Meritxell Bach Cuadra, Maxime Descoteaux, Patric Hagmann
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-16 (2022)
Measurement(s) brain connectivity measurement Technology Type(s) Fiber tracking
Externí odkaz:
https://doaj.org/article/24b4275c5bcb45108249c4bf1a087bc4
Autor:
Nigel Colenbier, Ekansh Sareen, Tamara del-Aguila Puntas, Alessandra Griffa, Giovanni Pellegrino, Dante Mantini, Daniele Marinazzo, Giorgio Arcara, Enrico Amico
Publikováno v:
NeuroImage, Vol 271, Iss , Pp 120021- (2023)
The discovery that human brain connectivity data can be used as a “fingerprint” to identify a given individual from a population, has become a burgeoning research area in the neuroscience field. Recent studies have identified the possibility to e
Externí odkaz:
https://doaj.org/article/9886f57e2edf4da0825057fc6cd1dd67
Autor:
Priska Zuber, Laura Gaetano, Alessandra Griffa, Manuel Huerbin, Ludovico Pedullà, Laura Bonzano, Anna Altermatt, Charidimos Tsagkas, Katrin Parmar, Patric Hagmann, Jens Wuerfel, Ludwig Kappos, Till Sprenger, Olaf Sporns, Stefano Magon
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Although shared behavioral and neural mechanisms between working memory (WM) and motor sequence learning (MSL) have been suggested, the additive and interactive effects of training have not been studied. This study aimed at investigating cha
Externí odkaz:
https://doaj.org/article/acf989ab70b14b12a81ae41a7568a63e
Publikováno v:
NeuroImage, Vol 250, Iss , Pp 118970- (2022)
Brain signatures of functional activity have shown promising results in both decoding brain states, meaning distinguishing between different tasks, and fingerprinting, that is identifying individuals within a large group. Importantly, these brain sig
Externí odkaz:
https://doaj.org/article/3e781cf345534d5f96d50fd6ef5fb2b8
Autor:
Rosanne Govaarts, Emma Beeldman, Matteo Fraschini, Alessandra Griffa, Marjolein M.A. Engels, Michael A. van Es, Jan H. Veldink, Leonard H. van den Berg, Anneke J. van der Kooi, Yolande A.L. Pijnenburg, Marianne de Visser, Cornelis J. Stam, Joost Raaphorst, Arjan Hillebrand
Publikováno v:
NeuroImage: Clinical, Vol 34, Iss , Pp 102965- (2022)
The objective of this study was to examine if patterns of resting-state brain activity and functional connectivity in cortical and subcortical regions in patients with early symptomatic amyotrophic lateral sclerosis (ALS) resemble those of behavioura
Externí odkaz:
https://doaj.org/article/46d3ddb87245498fbfe39480a5557fe9
Autor:
Alessandra Griffa, Nienke Legdeur, Maryam Badissi, Martijn P. van den Heuvel, Cornelis J. Stam, Pieter Jelle Visser, Arjan Hillebrand
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
The oldest-old subjects represent the fastest growing segment of society and are at high risk for dementia with a prevalence of up to 40%. Lifestyle factors, such as lifelong participation in cognitive and leisure activities, may contribute to indivi
Externí odkaz:
https://doaj.org/article/648b09cf18f54ff0b0a543f4c40a23d8
Autor:
Ekansh Sareen, Sélima Zahar, Dimitri Van De Ville, Anubha Gupta, Alessandra Griffa, Enrico Amico
Publikováno v:
NeuroImage, Vol 240, Iss , Pp 118331- (2021)
Individual characterization of subjects based on their functional connectome (FC), termed “FC fingerprinting”, has become a highly sought-after goal in contemporary neuroscience research. Recent functional magnetic resonance imaging (fMRI) studie
Externí odkaz:
https://doaj.org/article/7502036e19e741a698f42f0b6502b0e0