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
Debate Intensifies: Autonomous AI vs. Physician-Led Care in Medicine
A new perspective piece explores whether autonomous AI could outperform physician-led care in clinical settings.
•EurekAlert
AI 'Tissue Clocks' Estimate Organ-Specific Biological Age from Images
Researchers developed AI models that estimate the biological age of human organs from histological images, revealing organs age at different rates.
•EurekAlert
AI-Powered 3D Intraoperative Imaging Transforms Glioma Surgery
Researchers develop ULTRA, an AI-driven platform enabling 3D intraoperative tissue imaging for detecting glioma infiltration within 30 minutes.