Epilepsy Priority Setting Partnership
EpLink, James Lind Alliance, Ontario Brain Institute
A Priority Setting Partnership for epilepsy and seizures was conducted by the Ontario Brain Institute, its epilepsy research program, EpLink, and the James Lind Alliance. Using an established methodology, evidence uncertainties were gathered via online surveys from the Canadian epilepsy community, including people with epilepsy, caregivers, and healthcare providers. Submissions were formed into summary questions and checked against existing evidence to determine if they were true uncertainties. Verified uncertainties were then ranked by patients, caregivers and healthcare providers and a final workshop was held to reach a consensus on the top 10 priorities for epilepsy research.
This dataset includes 2126 original questions submitted via survey and 95 unanswered research questions generated from the original submissions, as well as those submissions considered out of scope. De-identified respondent demographic data (such as type of respondent, age range, gender, province of residence and ethnic background) is available upon request.
For further information
Canadian epilepsy priority-setting partnership: Toward a new national research agenda
Amaya Singh, Rebecca Woelfle, Rachel Chepesiuk, Carla Southward, Jordan Antflick, Katherine Cowan, Kathryn Hum, Marcus Ng, Jorge G. Burneo, Ana Suller Marti
Long-term, Phantom Quality Assurance data for functional Magnetic Resonance Imaging from 13 3T research scanners
ONDRI and CAN-BIND Neuroimaging Platforms, Ontario Brain Institute
This project was funded by the Ontario Brain Institute
Neurodevelopmental Disorders Priority Setting Partnership
POND Network, James Lind Alliance, Ontario Brain Institute
A Priority Setting Partnership for neurodevelopmental disorders was started between the Ontario
Brain Institute, associated members of the Province of Ontario Neurodevelopmental Disorders
(POND) Network, and the James Lind Alliance. This collaboration engaged the neurodevelopmental
disorder community to identify questions that they think are the most important for
researchers to address.
The data includes 1264 original questions submitted through a survey,
63 unanswered research questions generated from the original questions, and some de-identified
respondent demographic data (i.e. type of respondent, associated diagnosis, and age
range).
This project was funded by the Ontario Brain Institute
High Resolution Magnetic Resonance Imaging of Mouse Model related to Autism
Dr Jason Lerch, Dr Jacob Ellegood, Dr Mark Henkelman, POND Network
Drs. Jason Lerch, Jacob Ellegood, Mark Henkelman and their team at the Mouse Imaging Centre (MICe) at the Hospital for Sick Children have pioneered high throughput mouse brain Magnetic Resonance Imaging (MRI) to better understand how autism affects the brain. In collaboration with multiple international and national labs, the team is using MRI to phenotype multiple mouse strains with genetic mutations that are known to be associated with autism. These images capture the complex heterogeneity inherent in the autism spectrum and also identify key brain areas that are commonly involved across these mouse models. The MRI images provide whole brain coverage, and with advanced image processing and statistics, allow the determination of alterations in brain structure or microstructure to a resolution of 40-80 microns. This open data release includes 31 mouse models representing 23 genotypes from their ongoing study of 90+ mouse strains, which will continue to be shared in future releases.
This project was funded by the Ontario Brain Institute’s POND Program, with support from Brain Canada and CIHR.
Data Profile
31 mouse models related to autism representing 23 phenotypes Anatomical scans collected on a 7.0 T MRI scanner, using T2 sequencing Raw and processed imaging data for 860 mice Volumetric measurements for 336 brain regions for each mouse