Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI

In this study, we present a technique that spans multi-scale views (global scale- meaning brain network-level and local scale- examining each individual ROI that constitutes the network) applied to resting-state fMRI volumes. Deep learning based classification is utilized in understanding neurodegeneration. The novelty of the proposed approach lies in utilizing two extreme scales of analysis. One branch considers the entire network within graph-analysis framework. Concurrently, the second branch scrutinizes each ROI within a network independently, focusing on evolution of dynamics. …

analysis brain classification cs.cv deep learning fmri global lies meaning network roi scale series state study time series understanding