Overview
The Single Individual volunteer for Multiple Observations across Networks (SIMON) MRI dataset is a sample of convenience of one healthy male aged between 29 and 46 years old, scanned in 73 sessions at multiple sites and with various scanner models. Each of these sessions includes at least an anatomical T1-weighted image, in addition to other modalities (T1, T2- and PD-weighted, T2-star, diffusion, resting state fMRI, susceptibility, arterial spin labelling), which vary from one session to another (refer to the publications for the design detail). These images were partly acquired through the implementation of the Canadian Dementia Imaging Protocol (CDIP; www.cdip-pcid.ca), which is still ongoing. Thus, more images will be acquired in the future and added to the dataset.
This SIMON_pheno.csv file includes: Demographic information (age, session number, session date)
The Single Individual volunteer for Multiple Observations across Networks (SIMON) MRI dataset is a sample of convenience of one ambidextrous healthy male aged between 29 and 46 years old, scanned in 73 sessions at multiple sites and with various scanner models(See below image).
Data Release Download
click here to access SIMON Dataset.
click here to access SIMON Dataset - functional MRI preprocessed..
Data available for download as files in an Amazon Web Services S3 bucket.
Each file in the S3 bucket can only be accessed using HTTP (i.e., no ftp or scp ). You can obtain a URL for each desired file and then download it using an HTTP client such as a web browser, wget, or curl. Each file can only be accessed using its literal name - wildcards (i.e. "*") will not work.
There are file transfer programs that can handle S3 natively and will allow you to navigate through the data using a file browser. Cyberduck is one such program that works with Windows and Mac OS X (New Cyberduck version might not work, please try version 5.03.). Cyberduck also has a command line version that works with Windows, Mac OS X, and Linux. Instructions for using the Cyberduck program are as follows:
- Open Cyberduck and click on Open Connection.
- Set the application protocol in the dropdown menu to S3 (Amazon Simple Storage Service).
- Set the server to s3.amazonaws.com.
- Check the box labelled Anonymous Login.
- Expand the More Options tab and set Path to fcp-indi/data/Projects/INDI/SIMON/rawdata or fcp-indi/data/Projects/INDI/SIMON/derivatives.
- Click Connect.
Personnel
Principal Investigator:- Duchesne, Simon, Ph.D.1
- Badhwar, AmanPreet, Ph.D.2
- Lussier-Levesque, Desiree, Ph.D.2
*please send any correspondence to: info@medics.ulaval.ca
1CERVO Brain Research Centre, Quebec, Canada
2Centre de recherche de l'Institut universitaire de gériatrie de Montréal (CRIUGM), Quebec, Canada
Data Sharing License
Attribution-ShareAlike International (CC BY-SA)
Acknowledgments and funding
Please cite the following publications and organizations:
We would like to acknowledge several organizations and projects which have contributed to the elaboration of the CDIP protocol and the acquisition of SIMON sample data, namely CIMA-Q (www.cima-q.ca); the CCNA (www.ccna-ccnv.ca); the ONDRI (ondri.ca); and courtesy scans at MR manufacturers. CIMA-Q is financed through the Fonds de recherche du Québec – Santé / Pfizer Canada Innovation Fund (#27239). The CCNA is financed through the Canadian Institutes for Health Research (2014-2019) with funding from several partners. The Ontario Brain Institute is financed by the Government of Ontario and the Ontario Brain Institute Foundation. Financial support was obtained from the Alzheimer’s Society of Canada (#13-32), the Canadian Institutes for Health Research (#117121), and the Fonds de recherche du Québec – Santé / Pfizer Canada - Pfizer-FRQS Innovation Fund (#25262). S.D. is a Research Scholar from the Fonds de recherche du Québec – Santé (#30801). We also wish to thank the Cuban Neuroscience Center, specifically its Human Brain Mapping Unit, and the University of Electronic Science and Technology of China for their interest in importing the Canadian Dementia Imaging Protocol, with support from the Fonds de recherche du Québec – Santé “Tri-national Axis on Normal and Pathological Aging” collaboration program.
Publications
- Duchesne S, Dieumegarde L, Chouinard I, Farokhian F, and Potvin O (submitted). Multi-contrast magnetic resonance imaging series of a single human volunteer over 15+ years.
- Duchesne S, Chouinard I, Potvin O et al. The Canadian Dementia Imaging Protocol: Harmonizing National Cohorts. J Magn Reson Imaging. 2019;49:456-465.