Assessing Motor Imagery Ability Through Imagery-Based Learning: An Overview and Introduction to Miscreen,a Mobile App for Imagery Assessment

Abstract

The assessment of motor imagery (MI) ability is becoming increasingly important given the growing evidence supporting the use of MI in a wide variety of disciplines, including neurological rehabilitation, where impairment in the ability to perform MI can be common. Although many tools are available for the assessment of MI ability, each has limitations that reduce their effectiveness in accurately reflecting an individual’s ability to perform MI. Here, we propose a new assessment tool, MiScreen, which utilizes the outcome of MI-based learning to determine MI ability, and as such is both quantitative and objective. Throughout we discuss the research underlying MiScreen, as well as questions, potential limitations, and future research required for development and implementation.