The Ontario Brain Research Institute (OBI) has announced the launch of the Brain-CODE neuroinformatics platform, which now offers open-access high-resolution magnetic resonance (MR) imaging data for mouse models of autism. This groundbreaking initiative is designed to help researchers better understand how autism affects brain structure and function, ultimately accelerating the development of more effective treatments and improving public health outcomes.
The newly released dataset includes 31 mouse models representing 23 different genetic backgrounds from OBI’s ongoing Neurodevelopmental Disabilities Research Project (POND). This project, supported by the Ontario Brain Institute, the Canadian Brain Program, and the Canadian Institutes of Health Research, involves over 90 mouse models and is being led by a team from Sick Children’s Hospital. The data aims to provide valuable insights into the neural mechanisms underlying autism and other neurodevelopmental conditions.
In collaboration with international research groups, the team collected MR images of mice with known genetic mutations linked to autism. These images highlight key brain regions affected by the condition, reveal complex structural changes in the brain across different models, and offer critical information about the differences seen in autistic individuals. By making this data publicly available, the hope is to inspire scientists worldwide to investigate how genetic factors contribute to brain network alterations and to develop new hypotheses and solutions.
Brain-CODE, a large-scale centralized platform developed and maintained by the Ontario Brain Institute, serves as a hub for collecting, storing, sharing, and analyzing data from various neuroscience studies. To date, it has accumulated over 16,140 records, including 14,610 human records and 1,530 animal records, covering conditions such as cerebral palsy, depression, epilepsy, neurodegenerative diseases like Alzheimer's, and neurodevelopmental disorders like autism. The platform also hosts data from other related studies.
All data on Brain-CODE is standardized, allowing researchers to compare datasets across different brain disorders. This capability opens up new possibilities for exploration, such as investigating whether the depressive symptoms experienced by individuals with epilepsy or dementia differ in their underlying mechanisms. With this powerful tool, the scientific community is now better equipped to tackle some of the most complex questions in neuroscience.
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