Neuroscout, a unified platform for generalizable and reproducible fMRI research

Autor: Alejandro de la Vega, Roberta Rocca, Ross W Blair, Christopher J Markiewicz, Jeff Mentch, James D Kent, Peer Herholz, Satrajit S Ghosh, Russell A Poldrack, Tal Yarkoni

Publikováno v: eLife, Vol 11 (2022)

Functional magnetic resonance imaging (fMRI) has revolutionized cognitive neuroscience, but methodological barriers limit the generalizability of findings from the lab to the real world. Here, we present Neuroscout, an end-to-end platform for analysi

Externí odkaz: https://doaj.org/article/2384fa42cd30459bb2ac765f99b3a448

Highlighting Hemodynamic Risks for Bioresorbable Stents in Coronary Arteries

Autor: Marcus S. Elliott, Jonathan S. Cole, Ross W. Blair, Gary H. Menary

Publikováno v: Fluids, Vol 8, Iss 9, p 241 (2023)

A three-dimensional, transient computational fluid dynamics analysis was conducted on an idealised geometry of a coronary artery fitted with representative geometries of an Absorb bioresorbable vascular scaffold (BVS) or a Xience drug-eluting stent (

Externí odkaz: https://doaj.org/article/e5348ea583274aca9103552fba882c8b

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

Autor: Martin Norgaard, Granville J. Matheson, Hanne D. Hansen, Adam Thomas, Graham Searle, Gaia Rizzo, Mattia Veronese, Alessio Giacomel, Maqsood Yaqub, Matteo Tonietto, Thomas Funck, Ashley Gillman, Hugo Boniface, Alexandre Routier, Jelle R. Dalenberg, Tobey Betthauser, Franklin Feingold, Christopher J. Markiewicz, Krzysztof J. Gorgolewski, Ross W. Blair, Stefan Appelhoff, Remi Gau, Taylor Salo, Guiomar Niso, Cyril Pernet, Christophe Phillips, Robert Oostenveld, Jean-Dominique Gallezot, Richard E. Carson, Gitte M. Knudsen, Robert B. Innis, Melanie Ganz

Publikováno v: Norgaard, M, Matheson, G J, Hansen, H D, Thomas, A, Searle, G, Rizzo, G, Veronese, M, Giacomel, A, Yaqub, M, Tonietto, M, Funck, T, Gillman, A, Boniface, H, Routier, A, Dalenberg, J R, Betthauser, T, Feingold, F, Markiewicz, C J, Gorgolewski, K J, Blair, R W, Appelhoff, S, Gau, R, Salo, T, Niso, G, Pernet, C, Phillips, C, Oostenveld, R, Gallezot, J D, Carson, R E, Knudsen, G M, Innis, R B & Ganz, M 2022, ' PET-BIDS, an extension to the brain imaging data structure for positron emission tomography ', Scientific Data, vol. 9, no. 1, 65, pp. 65 . https://doi.org/10.1038/s41597-022-01164-1
Scientific data 9(1), 65 (2022). doi:10.1038/s41597-022-01164-1
Scientific Data, 9(1):65. Nature Publishing Group
Norgaard, M, Matheson, G J, Hansen, H D, Thomas, A, Searle, G, Rizzo, G, Veronese, M, Giacomel, A, Yaqub, M, Tonietto, M, Funck, T, Gillman, A, Boniface, H, Routier, A, Dalenberg, J R, Betthauser, T, Feingold, F, Markiewicz, C J, Gorgolewski, K J, Blair, R W, Appelhoff, S, Gau, R, Salo, T, Niso, G, Pernet, C, Phillips, C, Oostenveld, R, Gallezot, J-D, Carson, R E, Knudsen, G M, Innis, R B & Ganz, M 2022, ' PET-BIDS, an extension to the brain imaging data structure for positron emission tomography ', Scientific data, vol. 9, no. 1, 65, pp. 65 . https://doi.org/10.1038/s41597-022-01164-1
Scientific data, 9(1):65. Nature Publishing Group
Scientific Data
Norgaard, M, Matheson, G J, Hansen, H D, Thomas, A, Searle, G, Rizzo, G, Veronese, M, Giacomel, A, Yaqub, M, Tonietto, M, Funck, T, Gillman, A, Boniface, H, Routier, A, Dalenberg, J R, Betthauser, T, Feingold, F, Markiewicz, C J, Gorgolewski, K J, Blair, R W, Appelhoff, S, Gau, R, Salo, T, Niso, G, Pernet, C, Phillips, C, Oostenveld, R, Gallezot, J-D, Carson, R E, Knudsen, G M, Innis, R B & Ganz, M 2022, ' PET-BIDS, an extension to the brain imaging data structure for positron emission tomography ', Scientific Data, vol. 9, no. 1, 65, pp. 1-7 . https://doi.org/10.1038/s41597-022-01164-1

The Brain Imaging Data Structure (BIDS) is a standard for organizing and describing neuroimaging datasets, serving not only to facilitate the process of data sharing and aggregation, but also to simplify the application and development of new methods

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a7264f2dcc7c9e02e72aaa84890d575
https://kclpure.kcl.ac.uk/ws/files/171111815/PET_BIDS_an_extension_to_NORGAARD_Publishedonline2March2022_GOLD_VoR_CC_BY_.pdf

NiPreps: enabling the division of labor in neuroimaging beyond fMRIPrep

Autor: Oscar Esteban, Jessey Wright, Christopher Johnson Markiewicz, William Hedley Thompson, Mathias Goncalves, Rastko Ciric, Ross W. Blair, Franklin Feingold, Ariel Rokem, Satrajit S Ghosh, Russell Poldrack

The current neuroimaging workflow has matured into a large chain of processing and analysis steps involving a large number of experts, across imaging modalities and applications. The development and fast adoption of fMRIPrep [1] have revealed that ne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec3411b224f825d7a52d9a248679ca5c
https://doi.org/10.31219/osf.io/ujxp6