Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Francois Gabrielli"'
Autor:
Myriam Antri, Francois Gabrielli, Amélie Descheemaeker, Radhouane Dallel, Noëmie Mermet-Joret, Cristina Alba-Delgado
Publikováno v:
PAIN
PAIN, Elsevier, 2021, Publish Ahead of Print, ⟨10.1097/j.pain.0000000000002459⟩
Pain
Pain, 2021, Publish Ahead of Print, ⟨10.1097/j.pain.0000000000002459⟩
PAIN, Elsevier, 2021, Publish Ahead of Print, ⟨10.1097/j.pain.0000000000002459⟩
Pain
Pain, 2021, Publish Ahead of Print, ⟨10.1097/j.pain.0000000000002459⟩
Pain processing in young mammals is immature. Despite the central role of the medullary dorsal horn (MDH) in processing orofacial sensory information, the maturation of the neurons within the MDH has been largely overlooked. Combining in vitro electr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6bb853236193d70acbd173c19536d13
https://hal.uca.fr/hal-03464359
https://hal.uca.fr/hal-03464359
Autor:
Jérémy Signoret-Genest, Maxime Barnet, François Gabrielli, Youssef Aissouni, Alain Artola, Radhouane Dallel, Myriam Antri, Philip Tovote, Lénaïc Monconduit
Publikováno v:
The Journal of Headache and Pain, Vol 24, Iss 1, Pp 1-16 (2023)
Abstract Background Migraine is a disabling neurological disorder, characterized by recurrent headaches. During migraine attacks, individuals often experience sensory symptoms such as cutaneous allodynia which indicates the presence of central sensit
Externí odkaz:
https://doaj.org/article/7a8bade7442048f8856898f1c5fead1d
Autor:
Christophe Pasquier, Benoit Sion, Lénaïc Monconduit, Khalil El Khamlichi Drissi, Francois Gabrielli, Zied Mizouri
Publikováno v:
SoftCOM
The paper deals with a novel technique to identify the artifact shape and reduce residual threat during its removal. The method is based on the stimulus artifact reconstruction by using the high resolution Matrix Pencil method. The proposed technique
Autor:
Zied Mizouri, Khalil El Khamlichi Drissi, Christophe PASQUIER, Monconduit, L., Sion And Francois Gabrielli, B.
Publikováno v:
HAL
International Conference on Software, Telecommunications and Computer Networks (SoftCom)
International Conference on Software, Telecommunications and Computer Networks (SoftCom), Sep 2018, Supetar, Croatia
International Conference on Software, Telecommunications and Computer Networks (SoftCom)
International Conference on Software, Telecommunications and Computer Networks (SoftCom), Sep 2018, Supetar, Croatia
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6329eb90b8c4e6324a959f86253e051a
https://hal.uca.fr/hal-01914928
https://hal.uca.fr/hal-01914928
Autor:
Lénaïc Monconduit, Francois Gabrielli, Mélissa Zuel, Radhouane Dallel, Julie Duron, Paul Avan
Publikováno v:
Revue Neurologique. 175:S118-S119
Introduction La migraine se caracterise par la survenue de cephalees episodiques pouvant devenir chroniques. La chronicite favorise l’apparition de troubles sensoriels, telle la phonophobie, definie comme une intolerance a la lumiere. Objectifs L
Autor:
Emilie Simoneau-Buessinger, Sébastien Leteneur, Anis Toumi, Alexandra Dessurne, François Gabrielli, Franck Barbier, Jennifer M Jakobi
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0145077 (2015)
During maximal contractions, the sum of forces exerted by homonymous muscles unilaterally is typically higher than the sum of forces exerted by the same muscles bilaterally. However, the underlying mechanism(s) of this phenomenon, which is known as t
Externí odkaz:
https://doaj.org/article/d25cebad9ead44b8a059d9a547c02f43
Autor:
Khalil El Khamlichi Drissi, Christophe Pasquier, Benoit Sion, Lénaïc Monconduit, Zied Mizouri, Francois Gabrielli
Publikováno v:
HAL
World Conference on Biomedical Applications of Electromagnetic Fields (EMF-Med)
World Conference on Biomedical Applications of Electromagnetic Fields (EMF-Med), Sep 2018, Split, Croatia
World Conference on Biomedical Applications of Electromagnetic Fields (EMF-Med)
World Conference on Biomedical Applications of Electromagnetic Fields (EMF-Med), Sep 2018, Split, Croatia
Stimulus artifact affecting electrophysiological recordings makes neural response analysis quite difficult. To analyze response with a maximum of precision, one needs to remove firstly the stimulus artifact without causing a neural response distortio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba5fd8fb02957f96e103e9276a2c090f
https://hal.uca.fr/hal-01915283
https://hal.uca.fr/hal-01915283