Abstract

Info

Title:: Development of an entropy connectivity analyze toolbox for functional magnetic resonance imaging

Author(s):: SHI Lili; LIU Zijun; MU Wendi; JIAO Qing; CAO Weifang; CUI Dong; GUO Yongxin; Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271016, China

Keywords:: Keywords: entropy connectivity MATLAB toolbox functional magnetic resonance imaging

Abstract:: Abstract: Objective To develop a toolbox for calculating the entropy connectivity between time series, thereby analyzing the effective connectivity of functional magnetic resonance imaging signals from different brain regions. Methods Under Windows environment, entropy connectivity codes were written in MATLAB platform, and graphical user interface was used for toolbox interface development. The entropy connectivity was calculated by designing the properties of controls, writing callback functions and calling MATLAB built-in programs. Results The developed toolbox realized the calculation of the entropy connectivity between time series and the statistical analysis on the calculated results. The entropy connectivity was calculated after the user input of the generated time series of functional magnetic resonance imaging signals from brain regions, or the time series of brain regions of interest which were generated by the toolbox. Conclusion With a friendly interface, the toolbox is easy to operate and can greatly improve efficiency of researchers.