The beginning of ONDRI’s research:
ONDRI’s Foundational Study recruited cohorts (or groups) of participants living with one of 5 diseases of interest.
A total of 520 participants with lived experience were recruited, along with their care partners. The cohorts spanned site labs across the province, making the study geographically diverse, with richer data.
Foundational Study cohorts:
Alzheimer's/mild cognitive impairment participants
Frontotemporal lobar degeneration participants
Amyotrophic Lateral Sclerosis (ALS) participants
Parkinson's disease participants
Cerebrovascular disease participants
Video: Brief description of ONDRI foundational study by Doug Munoz PhD
5 Diseases – 8 assessments – 520 participants (plus care partners)
ONDRI research was designed to uncover cross-disease breakthroughs by having participants undergo the same 8 assessments (study protocols).
The resulting database holds promising data on disease progression and other health and lifestyle factors. This allows scientists to make exciting comparisons within diseases (e.g. across multiple assessments), and between diseases.
ONDRI participants showed incredible commitment
Being a Foundational Study participant required spending 3 days/year, over 3 years, attending assessment appointments. ONDRI researchers deeply appreciate this commitment.
ONDRI’s multi-dimensional data
ONDRI’s rich, deep trove of Foundational study data can understood using the 3 dimensions of the cube on the left:
- Assessment platforms – 8
- Diseases – 5
- Timeframe – 3 years (minimum), including baseline
The Ontario Neurodegenerative Disease Research Initiative (ONDRI) – Foundational study description
Get notified of ‘big data’ release
OBI is set to release baseline data from the ONDRI Foundational study in the later months of 2021. Hundreds of researchers are already waiting. Sign up to be notified when it’s available, along with other ONDRI updates.
This is why ONDRI created novel processes to standardize data
Each site lab produced data in technology-specific formats (to give an example, using different branded MRI machine formats). ONDRI researchers used special standardization tools and techniques to address this variation and enable effective cross-platform, cross-disease analysis of the data.