Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jordana Remz"'
Autor:
Jennifer Tremblay-Mercier, Cécile Madjar, Samir Das, Alexa Pichet Binette, Stephanie O.M. Dyke, Pierre Étienne, Marie-Elyse Lafaille-Magnan, Jordana Remz, Pierre Bellec, D. Louis Collins, M. Natasha Rajah, Veronique Bohbot, Jeannie-Marie Leoutsakos, Yasser Iturria-Medina, Justin Kat, Richard D. Hoge, Serge Gauthier, Christine L. Tardif, M. Mallar Chakravarty, Jean-Baptiste Poline, Pedro Rosa-Neto, Alan C. Evans, Sylvia Villeneuve, Judes Poirier, John C.S. Breitner
Publikováno v:
NeuroImage: Clinical, Vol 31, Iss , Pp 102733- (2021)
To move Alzheimer Disease (AD) research forward it is essential to collect data from large cohorts, but also make such data available to the global research community. We describe the creation of an open science dataset from the PREVENT-AD (PResympto
Externí odkaz:
https://doaj.org/article/a17dfd2695ef4374b8eca420312fd90d
Autor:
Frédéric St-Onge, Mohammadali Javanray, Alexa Pichet Binette, Cherie Strikwerda-Brown, Jordana Remz, R. Nathan Spreng, Golia Shafiei, Bratislav Misic, Étienne Vachon-Presseau, Sylvia Villeneuve
Publikováno v:
Network Neuroscience. :1-55
Systematic changes have been observed in the functional architecture of the human brain with advancing age. However, functional connectivity (FC) is also a powerful feature to detect unique “connectome fingerprints”, allowing identification of in
Autor:
Alan C. Evans, Sylvia Villeneuve, Marie-Elyse Lafaille-Magnan, Jean-Baptiste Poline, Yasser Iturria-Medina, Stephanie O.M. Dyke, Pedro Rosa-Neto, Justin Kat, Pierre Etienne, Samir Das, Judes Poirier, M. Natasha Rajah, Pierre Bellec, Jennifer Tremblay-Mercier, D. Louis Collins, Cécile Madjar, Jordana Remz, Véronique D. Bohbot, Alexa Pichet Binette, John C.S. Breitner, Jeannie Marie S. Leoutsakos, Serge Gauthier, Christine L. Tardif, M. Mallar Chakravarty, Richard D. Hoge
Publikováno v:
NeuroImage: Clinical, Vol 31, Iss, Pp 102733-(2021)
NeuroImage : Clinical
NeuroImage : Clinical
Highlights • PREVENT-AD is openly releasing datasets to the neuroscience community. • PREVENT-AD is a longitudinal study of older adults at-risk of Alzheimer disease. • Data include imaging, genetics, fluid biochemistry, neurosensory, cognition
Autor:
Pierre Etienne, Pedro Rosa-Neto, Cécile Madjar, Pierre Bellec, Jordana Remz, Véronique D. Bohbot, Judes Poirier, Jennifer Tremblay-Mercier, Marie-Elyse Lafaille-Magnan, Serge Gauthier, Stephanie O.M. Dyke, Richard D. Hoge, D. Louis Collins, Christine L. Tardif, M. Mallar Chakravarty, Jean-Baptiste Poline, Alan C. Evans, Justin Kat, Samir Das, Yasser Iturria-Medina, Alexa Pichet Binette, M. Natasha Rajah, Jeannie Marie S. Leoutsakos, John C.S. Breitner, Sylvia Villeneuve
To move Alzheimer Disease (AD) research forward it is essential to collect data from large cohorts, but also make such data available to the global research community. We describe the creation of an open science dataset from the PREVENT-AD (PResympto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4383debd3d60d0f11f2b0ad9f7f23075
https://doi.org/10.1101/2020.03.04.976670
https://doi.org/10.1101/2020.03.04.976670
Autor:
Jackson E. T. Smith, Chang'an A. Zhan, Alan Schoen, Vincent Beliveau, Jordana Remz, Erik P. Cook
Publikováno v:
Journal of Neurophysiology. 114:80-98
The evolution of a visually guided perceptual decision results from multiple neural processes, and recent work suggests that signals with different neural origins are reflected in separate frequency bands of the cortical local field potential (LFP).