USC researchers used AI to analyze MRI scans and uncover the genetic architecture of the brain's corpus callosum.
Key Details
- 1Researchers analyzed brain MRI and genetic data from over 50,000 individuals worldwide.
- 2A novel AI tool was developed to automatically locate and measure the corpus callosum in MRI scans.
- 3Dozens of genetic regions affecting the size and thickness of the corpus callosum and subregions were identified.
- 4Distinct gene sets were found to govern area versus thickness, relating to brain function and development.
- 5The new AI tool is being made publicly available for research use, accelerating future discoveries.
Why It Matters
This research exemplifies the power of AI in large-scale neuroimaging analysis, connecting genetic factors to brain structure with direct implications for studying mental health and neurological disorders. Making the AI tool available to the community could further advance imaging genetics, precision diagnostics, and brain disease research.
Source
EurekAlert
Related News
•EurekAlert
UVA's $4M NIH Grant Backs AI to Optimize Cardiac MRI Therapies
UVA secures $4 million NIH funding to develop GenStrain, an AI model using MRI data to personalize cardiac pacing therapies.
•EurekAlert
Machine Learning Models Predict Cancer Risk with Routine Health Data
Researchers developed machine learning models using routinely collected health data to predict individual risk for 20 common cancers, outperforming traditional methods for several cancer types.
•EurekAlert
Duke Receives $25M to Lead National Trustworthy AI Hub for Dementia and Aging
Duke University has launched a $25 million national center to make AI for aging and dementia clinically robust and trustworthy.