Bringing together structural and functional brain imaging data, Cedars-Sinai investigators have created a “traffic map” to illustrate which pathways are most frequently used for interactions between different regions of the brain and enable the regions to communicate with each other. The new model, which also can help predict cognitive performance, is described in the peer-reviewed journal Communications Biology.

“Our model, called the Unified Structural and Functional Connectivity model, provides a step toward mapping how different parts of the brain functionally communicate,” said Wei Gao, PhD, director of Neuroimaging Research and professor of Biomedical Sciences at Cedars-Sinai and senior author of the study. “The model shows that certain structural pathways, especially in networks related to emotions, self-awareness, and sensory processing, are heavily used for brain communications. The model also enhances our understanding of how these interactions relate to cognitive function.”

The investigative team—led by Gao, study co-author Pascal Sati, PhD, director of the Neuroimaging Program and associate professor of Neurology, and first author Arzu Silemek, PhD, a postdoctoral fellow supervised by Gao and Sati—found that certain areas serve as crucial hubs, with a significant corridor facilitating overall brain connectivity. They believe this mapping of brain communication could inform future research on cognitive processes and neurodevelopmental disorders. Clinically, they suggested it could improve physicians’ diagnostic tools by providing insights into how structural changes affect brain function, potentially leading to better-targeted interventions for conditions such as Alzheimer’s disease and other cognitive disorders.

Additional author: Haitao Chen

Funding: This work was supported by the National Institutes of Health (R01DA042988 and R01DA043678) and by Cedars-Sinai Precision Medicine Initiative Award and institutional support (to W.G.).

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