Poster F106, Tuesday, March 28, 8:00 – 10:00 am, Pacific Concourse
Anterior-Posterior Insular Cortex Bisection Plugin for Mango
Zachary Laborde1, David Stephenson2, Allan L. Reiss3, Elliott Beaton2, Jeremy D. Cohen1; 1Xavier University of Louisiana, 2University of New Orleans, 3Stanford School of Medicine
Insular Cortex, while being one of the most highly integrative regions of the brain, continues to be one the least understood. Previous studies have found cytoarchitectural subregions within insular cortex, each with unique patterns of connectivity with other brain regions. Taken together, along with more recent functional analyses, evidence suggests that each insular subregion performs a unique functional role. Using a simple geometric bisecting algorithm (i.e., the Cohen Bisect), these subregions can accurately be sized and located. However, this method has only been used in a discontinued brain imaging application known as BrainImageJava (BIJ). In order to continue research on the function and makeup of insular cortical subregions, a new Cohen Bisect plugin was created for the Multi-Image Analysis GUI (Mango). Manual insular regions-of-interest (ROIs) were created among a sample of Fragile X Syndrome, Developmental Delay and Typically Developing children. Using this open-sourced plugin, anterior and posterior insular gray-matter volumes were reliably measured and showed no degradation between the original total volume and the post-bisect totals. Additional previously analyzed insular ROIs were converted from BIJ to Mango, and the new Cohen Bisect plugin was used reliably to confirm previous statistical results. The new Cohen Bisect Plugin for Mango incorporates an established methodology into a novel tool for researchers to approximate insular functional subregions using structural MRI.
Topic Area: METHODS: Neuroimaging