Poster No:
308
Submission Type:
Abstract Submission
Authors:
Charlie Henri-Bellemare1, Camille Beaudoin1, Rolando Acosta1, Milad Heshmati1, Samir Das2, Randi Pilon3, Logane Gnassi3, Turaç Aydoğan3, Michael Borrie4, Howard Chertkow5, Natalie Phillips6, Alan Evans7
Institutions:
1McGill University, Montreal, Quebec, 2McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Quebec, 3Lady Davis Institute, Montreal, Quebec, 4Parkwood Institute, London, Ontario, 5Baycrest Centre, Toronto, Ontario, 6Department of Psychology, Concordia University, Montreal, Quebec, 7McGill Centre for Integrative Neuroscience (MCIN), Montreal, Quebec
First Author:
Co-Author(s):
Samir Das
McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University
Montreal, Quebec
Natalie Phillips
Department of Psychology, Concordia University
Montreal, Quebec
Alan Evans
McGill Centre for Integrative Neuroscience (MCIN)
Montreal, Quebec
Introduction:
In 2014, the Canadian Institutes of Health Research (CIHR) established the Canadian Consortium on Neurodegeneration in Aging (CCNA; ccna-ccnv.ca), with the aim of furthering our understanding of the neurodegenerative diseases (NDDs) that affect the Canadian population. At its core, the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) is the largest observational clinical cohort study on dementia in Canada. This national cohort required a comprehensive digital infrastructure to coordinate data collection at 32 clinical sites across the country. To ensure that data acquisition, curation, and dissemination were standardized, the LORIS system was chosen as the data management platform to support CCNA. LORIS is making all domains of imaging, clinical, biomarker, cognitive, behavioral, biospecimen, and genetic data readily available to researchers for analysis, and ultimately for open sharing within the neuroscience community. This cohort is now entering the data-sharing phase with external researchers.
Methods:
LORIS is a customizable, web-based data management system. The CCNA instance of LORIS features 37 modules, each contributing to the management and monitoring of high-quality data. In the imaging domain, authorized study coordinators can seamlessly upload patient and phantom scans as the LORIS imaging pipeline ensures organized integration into the database and filesystem. Imaging specialists can then view and/or download these scans in the Imaging Browser as they conduct quality control (QC), accompanied by detailed summaries of scan information and links to relevant data-points elsewhere in LORIS. The Imaging Quality Control module enables review of imaging files, verifying proper upload, adherence to study protocols, and successful QC checks across several scan types.
The CCNA-LORIS instance supports a large scale of data through 110 instruments, featuring scoring algorithms and robust validation mechanisms custom written to ensure quality control during data entry.
The Biospecimen workflow integrates a biomarker tracking infrastructure, providing information on sample transportation and analyses. This infrastructure also includes barcode scanning of matrix boxes and samples to ensure rapid and simple integration of large biomarker datasets.
Key modules, such as the Study Tracker and Data Query Tool (DQT), offer coordinators and researchers efficient tools for data entry, monitoring, and retrieval. The Study Tracker provides a customized snapshot of study progression by participant, offering direct links to subsequent data entry steps, while the DQT empowers researchers to query and download data in CSV format across all modalities while implementing granular permission controls.
Results:
The CCNA-LORIS instance currently serves 508 active users for COMPASS-ND. This study includes 11 different diagnostic cohorts across the dementia spectrum,with a baseline dataset of 1,173 deeply-phenotyped participants. This dataset contains brain images for 1,064 participants, and the comprehensive protocol includes 11 scan types. This exhaustive imaging dataset is supplemented with highly descriptive clinical and biomarker data for 1,108 participants, which includes 1,100 blood samples and more. Demographics and neuropsychological profiles for all participants are also available. Access to the data can be requested through the Data Access module on ccna.loris.ca.
Conclusions:
The LORIS database is optimized for multi-site studies, such as COMPASS-ND, the signature clinical cohort study of CCNA. Its module-based software harmonizes and consolidates all heterogeneous data types which can then be disseminated in a user-friendly manner. This allows researchers across the world to have access to rich datasets and further the advancement of dementia research.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Lifespan Development:
Aging
Neuroinformatics and Data Sharing:
Databasing and Data Sharing 2
Keywords:
Aging
Open Data
Other - Dementia
1|2Indicates the priority used for review
Provide references using author date format
CCNA. (2015), COMPASS-ND Study. Retrieved December 11, 2016, from http://ccna-ccnv.ca/en/compass-nd-study/
Chertkow, H., Borrie, M., Whitehead, V., Black, S., Feldman, H., Gauthier, S., . . . Rylett, R. (2019). The Comprehensive Assessment of Neurodegeneration and Dementia: Canadian Cohort Study. Canadian Journal of Neurological Sciences, 46(5), 499-511. doi:10.1017/cjn.2019.27
Mohaddes, Z., Das, S., Blader, D., Callegaro, J., Tunteng, J., Evans, L., Campbell, T., Lo, D., Morin, P., Whitehead, V., Chertkow, H., & Evans, A. C. (2018). National Neuroinformatics Framework for Canadian Consortium on Neurodegeneration in Aging (CCNA). Frontiers in Neuroinformatics, 12, 420281. https://doi.org/10.3389/fninf.2018.00085
Das, S. (2012), 'LORIS: a web-based data management system for multi-center studies', Frontiers in Neuroinformatics, vol. 5, no. 37.