Abstract #3741

Correspondence between structure and function in the human brain using data from over 15,000 individuals

Na Luo^1,2, Jing Sui^1,2,3, Jessica A. Turner⁴, Zening Fu³, Anees Abrol^3,5, Eswar Damaraju³, Jiayu Chen³, Dongdong Lin³, David C. Glahn⁶, Amanda L. Rodrigue⁶, and Vince D. Calhoun^3,5,6

¹Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, ²University of Chinese Academy of Sciences, Beijing, China, ³The Mind Research Network, Albuquerque, NM, United States, ⁴Department of Psychology, Neuroscience Institute, Georgia State University, Atlanta, GA, United States, ⁵Department of Electrical and Computer Engineering, the University of New Mexico, Albuquerque, NM, United States, ⁶Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States

This study compared the structural-functional correspondence on a large discovery dataset (7104 functional scans, 6005 structural scans) and a replication dataset (9214 subjects). Independent component analysis was applied to identify structural and functional networks. Spatial correlation was then computed using Pearson correlation and mutual information. Results indicated that 1) 24 replicated pairs were identified showing high structural-functional correspondence; 2) the structural-functional correspondence showed the following hierarchy: Basal ganglia > Somatomotor, Visual > DMN, Temporal, Cerebellum > Frontal and Parietal domains; 3) replicated results allowing us to provide evidence of a stable template of structural-functional correspondence for the public to use.

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