| Autor: |
Duchesne S; Department of Radiology, Université Laval, Québec, Canada. simon.duchesne@fmed.ulaval.ca.; CERVO Brain Research Centre, Institut universitaire de santé mentale de Québec, Québec, Canada. simon.duchesne@fmed.ulaval.ca., Dieumegarde L; CERVO Brain Research Centre, Institut universitaire de santé mentale de Québec, Québec, Canada., Chouinard I; CERVO Brain Research Centre, Institut universitaire de santé mentale de Québec, Québec, Canada., Farokhian F; CERVO Brain Research Centre, Institut universitaire de santé mentale de Québec, Québec, Canada., Badhwar A; Centre de recherche de l'Institut universitaire en gériatrie de Montréal, Québec, Canada., Bellec P; Centre de recherche de l'Institut universitaire en gériatrie de Montréal, Québec, Canada., Tétreault P; Department of Biomedical Engineering, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada., Descoteaux M; Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, Canada., Boré A; Centre de recherche de l'Institut universitaire en gériatrie de Montréal, Québec, Canada.; Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, Canada., Houde JC; Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, Canada., Beaulieu C; Department of Biomedical Engineering, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada., Potvin O; CERVO Brain Research Centre, Institut universitaire de santé mentale de Québec, Québec, Canada. |
| Abstrakt: |
We present MRI data from a single human volunteer consisting in over 599 multi-contrast MR images (T1-weighted, T2-weighted, proton density, fluid-attenuated inversion recovery, T2* gradient-echo, diffusion, susceptibility-weighted, arterial-spin labelled, and resting state BOLD functional connectivity imaging) acquired in over 73 sessions on 36 different scanners (13 models, three manufacturers) over the course of 15+ years (cf. Data records). Data included planned data collection acquired within the Consortium pour l'identification précoce de la maladie Alzheimer - Québec (CIMA-Q) and Canadian Consortium on Neurodegeneration in Aging (CCNA) studies, as well as opportunistic data collection from various protocols. These multiple within- and between-centre scans over a substantial time course of a single, cognitively healthy volunteer can be useful to answer a number of methodological questions of interest to the community. |
