• Cognitive visually stimulation task design

Recently, we designed a visual version of our cognitive task and succeeded in testing the task in an experimental environment. A case of fMRI data recording was also performed during this visual task execution by the subject.

  • Designing tasks with varying cognitive loads 

It is also possible to design cognitive load-dependent tasks in such a way that it makes more intra-group comparisons for further categorize patients suffering from cognitive dysfunction at different levels and analyze the effect of various treatments for cognitive impairment on patients.

  • Examining deep learning approaches to further improve our software

. Since the use of deep learning algorithms for the automated detection of cognitive impairments in the early stages of MS is very limited, we plan to examine deep learning approaches, a tool recently used in medical image analysis for machine learning, which could lead to further improvements in our software.

  • Update our software source to reduce memory storage and increase processing speed by switching from MATLAB to Python

Despite the relative simplicity of programming in MATLAB, however, the performance of parallel architecture implementation and simultaneous data processing is lower. Therefore, besides data processing, Python is widely accepted as the better alternative to MATLAB for programming needs.