Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Judie Tabbal"'
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Neuroscience research has shown that specific brain patterns can relate to creativity during multiple tasks but also at rest. Nevertheless, the electrophysiological correlates of a highly creative brain remain largely unexplored. This study
Externí odkaz:
https://doaj.org/article/0a2983c1bee143c7a1f5a9bc8bb47281
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract Although Alzheimer’s disease is the most prevalent form of dementia, there are no treatments capable of slowing disease progression. A lack of reliable disease endpoints and/or biomarkers contributes in part to the absence of effective the
Externí odkaz:
https://doaj.org/article/6c373001c6584622a135bcf3ba6b38f1
Autor:
Joan Duprez, Judie Tabbal, Mahmoud Hassan, Julien Modolo, Aya Kabbara, Ahmad Mheich, Sophie Drapier, Marc Vérin, Paul Sauleau, Fabrice Wendling, Pascal Benquet, Jean-François Houvenaghel
Publikováno v:
NeuroImage, Vol 258, Iss , Pp 119331- (2022)
Among the cognitive symptoms that are associated with Parkinson's disease (PD), alterations in cognitive action control (CAC) are commonly reported in patients. CAC enables the suppression of an automatic action, in favor of a goal-directed one. The
Externí odkaz:
https://doaj.org/article/31c0ad519faf4a61ba126f7cbcb3cdbf
Publikováno v:
NeuroImage, Vol 231, Iss , Pp 117829- (2021)
Motor, sensory and cognitive functions rely on dynamic reshaping of functional brain networks. Tracking these rapid changes is crucial to understand information processing in the brain, but challenging due to the great variety of dimensionality reduc
Externí odkaz:
https://doaj.org/article/ec990cbbb4ad456ca0b609dd743f2fe5
Publikováno v:
Journal of Neural Engineering
Journal of Neural Engineering, 2023, 20 (1), pp.016011. ⟨10.1088/1741-2552/acad28⟩
Journal of Neural Engineering, 2023, 20 (1), pp.016011. ⟨10.1088/1741-2552/acad28⟩
Objective. Functional connectivity networks explain the different brain states during the diverse motor, cognitive, and sensory functions. Extracting connectivity network configurations and their temporal evolution is crucial for understanding brain
Publikováno v:
Journal of Neural Engineering
Journal of Neural Engineering, 2022, 19 (5), pp.056032. ⟨10.1088/1741-2552/ac954f⟩
Journal of Neural Engineering, 2022, 19 (5), pp.056032. ⟨10.1088/1741-2552/ac954f⟩
Objective. Electro/Magnetoencephalography (EEG/MEG) source-space network analysis is increasingly recognized as a powerful tool for tracking fast electrophysiological brain dynamics. However, an objective and quantitative evaluation of pipeline steps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4572f456c4b7febcfa60d00ac98d51a2
https://hal.science/hal-03798989/document
https://hal.science/hal-03798989/document
Autor:
Joan Duprez, Judie Tabbal, Mahmoud Hassan, Julien Modolo, Aya Kabbara, Ahmad Mheich, Sophie Drapier, Marc Vérin, Paul Sauleau, Fabrice Wendling, Pascal Benquet, Jean-François Houvenaghel
Among the cognitive symptoms that are associated with Parkinson’s disease (PD), alterations in cognitive action control (CAC) are commonly reported in patients. CAC enables the suppression of an automatic action, in favor of a goal-directed one. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dcb79cd34302093b435bce70d18cb56
https://doi.org/10.1101/2021.12.12.472263
https://doi.org/10.1101/2021.12.12.472263
ObjectiveElectro/Magnetoencephalography (EEG/MEG) source-space network analysis is increasingly recognized as a powerful tool for tracking fast electrophysiological brain dynamics. However, an objective and quantitative evaluation of pipeline steps i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d96197873f20c24648be9905d45f5221
https://doi.org/10.1101/2021.10.14.464481
https://doi.org/10.1101/2021.10.14.464481
Motor, sensory and cognitive functions rely on dynamic reshaping of functional brain networks. Tracking these rapid changes is crucial to understand information processing in the brain, but challenging due to the random selection of methods and the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1145c5dc1d47f699cdf328474d7e2783
https://doi.org/10.1101/2020.08.02.232702
https://doi.org/10.1101/2020.08.02.232702
Publikováno v:
5th International Conference on Advances in Biomedical Engineering, ICABME 2019
5th International Conference on Advances in Biomedical Engineering, ICABME 2019, Oct 2019, Tripoli, Lebanon. pp.8940230, ⟨10.1109/ICABME47164.2019.8940230⟩
Web of Science
5th International Conference on Advances in Biomedical Engineering, ICABME 2019, Oct 2019, Tripoli, Lebanon. pp.8940230, ⟨10.1109/ICABME47164.2019.8940230⟩
Web of Science
International audience; Estimating functional connectivity (FC) has become an increasingly powerful tool for understanding our brain and investigating healthy and abnormal brain functions. Most previous studies assume temporal stationarity, such as c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab7869fb6cf2dc94458ef4d57cd8d1b
https://hal-univ-rennes1.archives-ouvertes.fr/hal-02472486
https://hal-univ-rennes1.archives-ouvertes.fr/hal-02472486