Discovering common functional connectomics signatures

• Published in: 2013 IEEE 10th International Symposium on Biomedical Imaging pp. 620 - 623
• Main Authors: Xiang Li, Dajiang Zhu, Xi Jiang, Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2013
• Subjects: Brain modeling; Connectome; Data models; Dictionaries; Diffusion tensor imaging; DTI; Encoding; fMRI; Heuristic algorithms; Vectors

Based on the structural connectomes constructed from diffusion tensor imaging (DTI) data, we present a novel framework to discover functional connectomics signatures from resting-state fMRI (R-fMRI) data for the characterization of brain conditions. First, by applying a sliding time window approach,...