{"id":9401,"date":"2025-11-04T11:15:57","date_gmt":"2025-11-04T19:15:57","guid":{"rendered":"https:\/\/keck.usc.edu\/news\/?p=9401"},"modified":"2025-11-04T13:18:24","modified_gmt":"2025-11-04T21:18:24","slug":"usc-researchers-use-ai-to-uncover-genetic-blueprint-of-the-brains-largest-communication-bridge","status":"publish","type":"post","link":"https:\/\/keck.usc.edu\/news\/usc-researchers-use-ai-to-uncover-genetic-blueprint-of-the-brains-largest-communication-bridge\/","title":{"rendered":"USC researchers use AI to uncover genetic blueprint of the brain\u2019s largest communication bridge"},"content":{"rendered":"\n \n \n\n\n\n\n\n\n\n
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USC researchers use AI to uncover genetic blueprint of the brain\u2019s largest communication bridge<\/h1>\n\n\n<\/div>\n \n \n
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The research team created a new AI-powered tool that identifies and quantifies the part of the brain that connects the hemispheres and made it public to accelerate neuroscience research around the globe.<\/p>\n\n\n\n<\/div>\n \n

\n Sidney Taiko Sheehan<\/span>\n \n November 04, 2025<\/span>\n <\/div>\n \n \n
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Using AI, researchers mapped the brain\u2019s largest communication pathway, the corpus callosum, to uncover how genetic factors influence its structure. Image\/ Stevens INI<\/p>\n<\/figcaption>\n <\/figure>\n \n \n \n\n<\/div>\n \n\n <\/div><\/div>\n\n\n\n\n \n \n\n\n\n\n\n\n\n

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For the first time, a research team led by the Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI<\/a>) at the Keck School of Medicine of USC has mapped the genetic architecture of a crucial part of the human brain known as the corpus callosum\u2014the thick band of nerve fibers that connects the brain\u2019s left and right hemispheres. The findings open new pathways for discoveries about mental illness, neurological disorders and other diseases related to defects in this part of the brain.<\/p>\n

The corpus callosum is critical for nearly everything the brain does, from coordinating the movement of our limbs in sync to integrating sights and sounds, to higher-order thinking and decision-making. Abnormalities in its shape and size have long been linked to disorders such as ADHD, bipolar disorder, and Parkinson\u2019s disease. Until now, the genetic underpinnings of this vital structure remained largely unknown.<\/p>\n

In the new study<\/a>, published in Nature Communications, the team analyzed brain scans and genetic data from over 50,000 people, ranging from childhood to late adulthood, with the help of a new tool the team created that leverages artificial intelligence.<\/p>\n

\u00a0\u201cWe developed an AI tool that finds the corpus callosum in different types of brain MRI scans and automatically takes its measurements,\u201d said Shruti P. Gadewar, co-first author of the study and research specialist at the Stevens INI. Using this tool, the researchers identified dozens of genetic regions that influence the size and thickness of the corpus callosum and its subregions.<\/p>\n

\u201cThese findings provide a genetic blueprint for one of the brain\u2019s most essential communication pathways,\u201d said Ravi R. Bhatt, PhD, co-first author of the study and a post-doctoral scholar at the Stevens INI\u2019s Imaging Genetics Center<\/a>. \u201cBy uncovering how specific genes shape the corpus callosum and its subregions, we can start to understand why differences in this structure are linked to various mental health and neurological conditions at a molecular level.\u201d<\/p>\n

The study revealed that different sets of genes govern the area versus the thickness of the corpus callosum\u2014two features that change across the lifespan and play distinct roles in brain function. Several of the implicated genes are active during prenatal brain development, particularly in processes like cell growth, programmed cell death, and the wiring of nerve fibers across hemispheres.<\/p>\n

\u201cThis work demonstrates the power of using AI and large-scale databases to uncover the genetic factors driving brain development,\u201d said Neda Jahanshad, PhD,<\/a> associate professor of neurology and senior author. \u201cBy linking genetics to brain structure, we gain critical insight into the biological pathways that may underlie psychiatric and neurological diseases.\u201d<\/p>\n

Notably, the study found genetic overlap between the corpus callosum and the cerebral cortex\u2014the outer layer of the brain responsible for memory, attention, and language\u2014as well as with conditions such as ADHD and bipolar disorder.<\/p>\n

\u201cThese connections underscore that the same genetic factors shaping the brain\u2019s communication bridge may also contribute to vulnerabilities for certain disorders,\u201d Jahanshad added.<\/p>\n

Arthur W. Toga, PhD<\/a>, director of the Stevens INI, emphasized the broader implications of this research. \u201cThis study is a landmark in understanding how our brains are built. It not only sheds light on normal brain development but also helps us identify new avenues for diagnosing and potentially treating disorders that affect millions worldwide.\u201d<\/p>\n

The researchers have made their new AI-based tool publicly available to accelerate future discoveries. The software, developed at the Stevens INI, uses advanced machine learning to identify and measure the corpus callosum from MRI scans automatically. This approach allows scientists to analyze brain structure at an unprecedented scale and level of precision, reducing years of manual work to just hours.<\/p>\n

The Stevens INI has become a global leader in applying artificial intelligence to neuroscience, developing tools that are freely shared with the research community. By combining massive datasets with cutting-edge computational methods, the institute is transforming how scientists study brain health and disease.<\/p>\n

\u201cArtificial intelligence is revolutionizing brain research, and Stevens INI is at the forefront of that revolution,\u201d said Toga. \u201cBy pioneering AI tools and making them widely available, we\u2019re empowering scientists around the world to unlock new discoveries about the brain far faster than ever before.\u201d<\/p>\n

About the study<\/strong><\/p>\n

In addition to Bhatt, Gadewar and Jahanshad, the study\u2019s other authors include Ankush Shetty, Iyad Ba Gari, Elizabeth Haddad,Shayan Javid, Abhinaav Ramesh, Elnaz Nourollahimoghadam, Alyssa H. Zhu, Christiaan de Leeuw, Paul M. Thompson, and Sarah E. Medland.<\/p>\n

This work was supported by the National Institutes of Health (Grant Nos. R01 MH134004 and R01 AG059874 [NJ], National Science Foundation Graduate Research Fellowship Program (Grant No. 2020290241 [RRB], R01 MH126213, R01NS105746, the Adolescent Brain Cognitive Development (ABCD) Study (https:\/\/abcdstudy.org<\/a>), and UK Biobank (Resource Application No. 11559). Research reported in this publication was supported by the Office of the Director, National Institutes of Health under Award Number S10OD032285.<\/p>\n\n\n\n<\/div>\n <\/div>\n\n\n <\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":128,"featured_media":9402,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":true,"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[11,476,169,20,427],"class_list":["post-9401","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-release","tag-artificial-intelligence","tag-brain-health","tag-latest","tag-research","tag-usc-mark-and-mary-stevens-neuroimaging-and-informatics-institute"],"acf":[],"yoast_head":"\nUSC researchers use AI to uncover genetic blueprint of the brain\u2019s largest communication 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