LORIS — Longitudinal Online Research and Imaging System

Overview

LORIS (Longitudinal Online Research and Imaging System) is an open-source web-based data and project management platform for neuroimaging and clinical research, developed and maintained by the McGill Centre for Integrative Neuroscience (MCIN) at the Montreal Neurological Institute. It manages multimodal longitudinal and multisite datasets, integrating neuroimaging, clinical, behavioural, electrophysiology, biospecimen, and genetic data in a single secure web-accessible database.

Key Features

• LORIS provides DICOM ingestion, automated QC, and BIDS conversion pipelines.
• It supports longitudinal and multisite study management with role-based access control.
• A RESTful API enables integration with processing pipelines and external platforms.
• It interfaces with XNAT for imaging data exchange and Neurobagel for federated cohort search.

Confirmed Institutional Users and Projects

Canada

McGill University / MNI / MCIN is the origin and development hub. CONP (Canadian Open Neuroscience Platform) uses LORIS as one of its primary backend platforms, with all LORIS-hosted datasets registered on the CONP portal.

International

ADNI (Alzheimer’s Disease Neuroimaging Initiative) is one of LORIS’s earliest large-scale multisite deployments.

Connections

• Developed at: MNI
• Interoperates with: XNAT, Neurobagel
• Data portal: CONP

Resources

• https://loris.ca
• https://github.com/aces/Loris (source code)
• https://demo.loris.ca (public demo instance)
• https://mcin.ca/technology/loris/ (MCIN overview)