NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines

Autor: David Meunier, Annalisa Pascarella, Dmitrii Altukhov, Mainak Jas, Etienne Combrisson, Tarek Lajnef, Daphné Bertrand-Dubois, Vanessa Hadid, Golnoush Alamian, Jordan Alves, Fanny Barlaam, Anne-Lise Saive, Arthur Dehgan, Karim Jerbi

Publikováno v: NeuroImage, Vol 219, Iss , Pp 117020- (2020)

Recent years have witnessed a massive push towards reproducible research in neuroscience. Unfortunately, this endeavor is often challenged by the large diversity of tools used, project-specific custom code and the difficulty to track all user-defined

Externí odkaz: https://doaj.org/article/72eef43a9182445f8054ee8cd68137ad

Power of Feedback-Induced Beta Oscillations Reflect Omission of Rewards: Evidence From an EEG Gambling Study

Autor: Zachary Yaple, Mario Martinez-Saito, Nikita Novikov, Dmitrii Altukhov, Anna Shestakova, Vasily Klucharev

Publikováno v: Frontiers in Neuroscience, Vol 12 (2018)

The functional role of high beta oscillations (20–35 Hz) during feedback processing has been suggested to reflect unexpected gains. Using a novel gambling task that separates gains and losses across blocks and directly compares reception of monetar

Externí odkaz: https://doaj.org/article/9129468366b1466b8cb328707dbe15e6

NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines

Autor: Tarek Lajnef, Dmitrii Altukhov, David Meunier, Annalisa Pascarella, Mainak Jas, Golnoush Alamian, Etienne Combrisson, Jordan Alves, Vanessa Hadid, Arthur Dehgan, Anne-Lise Saive, Fanny Barlaam, Daphné Bertrand-Dubois, Karim Jerbi

Publikováno v: NeuroImage, Vol 219, Iss, Pp 117020-(2020)
NeuroImage
NeuroImage, 2020, 219, pp.117020. ⟨10.1016/j.neuroimage.2020.117020⟩
NeuroImage, Elsevier, 2020, 219, pp.117020. ⟨10.1016/j.neuroimage.2020.117020⟩
NeuroImage (Orlando Fla., Print) 219 (2020). doi:10.1016/j.neuroimage.2020.117020
info:cnr-pdr/source/autori:Meunier, David; Pascarella, Annalisa; Altukhov, Dmitrii; Jas, Mainak; Combrisson, Etienne; Lajnef, Tarek; Bertrand-Dubois, Daphne; Hadid, Vanessa; Alamian, Golnoush; Alves, Jordan; Barlaam, Fanny; Saive, Anne-Lise; Dehgan, Arthur; Jerbi, Karim/titolo:NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines/doi:10.1016%2Fj.neuroimage.2020.117020/rivista:NeuroImage (Orlando Fla., Print)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:219
Meunier, D, Pascarella, A, Altukhov, D, Jas, M, Combrisson, E, Lajnef, T, Bertrand-Dubois, D, Hadid, V, Alamian, G, Alves, J, Barlaam, F, Saive, A L, Dehgan, A & Jerbi, K 2020, ' NeuroPycon : An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines ', NeuroImage, vol. 219, 117020 . https://doi.org/10.1016/j.neuroimage.2020.117020

Recent years have witnessed a massive push towards reproducible research in neuroscience. Unfortunately, this endeavor is often challenged by the large diversity of tools used, project-specific custom code and the difficulty to track all user-defined

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::814c21e5eb3588612226ea9ff64d78eb
http://www.sciencedirect.com/science/article/pii/S1053811920305061

NeuroPycon: A python package for efficient multi-modal brain network analysis

Autor: David Meunier, Annalisa Pascarella, Daphné Bertrand-Dubois, Jordan Alves, Fanny Barlaam, Arthur Dehgan, Tarek Lajnef, Etienne Combrisson, Dmitrii Altukhov, Karim Jerbi

Publikováno v: The 21st International Conference on Biomagnetism, BIOMAG 2018, Philadelphia, 26-20 Agosto 2018
info:cnr-pdr/source/autori:David Meunier, Annalisa Pascarella, Daphné Bertrand-Dubois, Jordan Alves, Fanny Barlaam, Arthur Dehgan, Tarek Lajnef, Etienne Combrisson, Dmitrii Altukhov, Karim Jerbi/congresso_nome:The 21st International Conference on Biomagnetism, BIOMAG 2018/congresso_luogo:Philadelphia/congresso_data:26-20 Agosto 2018/anno:2018/pagina_da:/pagina_a:/intervallo_pagine

Background. With the exponential increase in data dimension and methodological complexities, brain networks analysis with MEG and EEG has become an increasingly challenging and time-consuming endeavor. To date, performing all the data processing step

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::82c11a0cca9454121bd5168449b8b5f1
http://www.cnr.it/prodotto/i/395353

Power and shift invariant detection of dynamically coupled networks (PSIICOS) from non-invasive MEG data

Autor: Karim Jerbi, Dmitrii Altukhov, Alexei Ossadtchi

MEG reflects electrical activity of neuronal assemblies that coalesce and decoalesce in time providing for massively parallel and dynamic flow of information exchange in the brain. There is a growing evidence that our behavior is mediated by simultan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a8a945187f6623f7a11ce40571d08df