【Functional Brain Network Learning Based on Spatial Similarity for Brain Disorders Identification】

Read full article: https://tinyurl.com/y69833ah

Article by Lei Sun and Tingting Guo, from Liaocheng University, China.

Studies have shown that #functional_brain_network (FBN), estimated by fMRI data, can provide an effective tool to better understand and study the brain structure of neurological diseases. And researchers have developed numbers of approaches for FBN estimation, including #Pearsons_correction (PC), #sparse_representation (SR), and so on. In this paper, the researchers only consider second-order approaches, i.e., PC-based method and (regularized) partial correction-based method and propose a new approach for FBN estimation based on the assumption that the closer brain regions tend to share stronger relationships or #similarities The results demonstrate that the proposed approach yields statistically significant improvement in seven performance metrics over using the baseline methods.