Time-series Correlation Analysis of BOLD fMRI Statistics

Abstract

In this work, we used functional magnetic resonance imaging (fMRI) to investigate the effects of particular stimuli on brain activity. To create a new time series, we used a method that involves detecting the input signal after receiving the stimulus and convolving it with the hemodynamic equation. The outcomes are represented visually using statistical analysis. Finally, we identified 34 brain regions activated during a task compared to when the subject was at rest. We next chose representative brain regions for study and discovered that the right cerebellum and cerebellar posterior lobe included concentrated areas with higher statistic densities. This study has tremendous promise to build the framework for our subsequent investigation of the fMRI imaging data.