Measuring Motor Imagery Using Psychometric, Behavioral, and Psychophysiological Tools

@article{Collet2011MeasuringMI,
  title={Measuring Motor Imagery Using Psychometric, Behavioral, and Psychophysiological Tools},
  author={Christian Collet and Aymeric Guillot and Florent Lebon and Tadhg MacIntyre and Aidan P. Moran},
  journal={Exercise and Sport Sciences Reviews},
  year={2011},
  volume={39},
  pages={85-92}
}
This review examines the measurement of motor imagery (MI) processes. First, self-report measures of MI are evaluated. Next, mental chronometry measures are considered. Then, we explain how physiological indices of the autonomic nervous system can measure MI. Finally, we show how these indices may be combined to produce a measure of MI quality called the Motor Imagery Index. 

On the Assessment of Motor Imagery Ability: A Research Commentary

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The present opinion questions the assessment of motor imagery (MI) ability with questionnaires, particularly for subjects with low MI ability. Strengths and limitations of implicit and explicit tests

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Nonlinear Analysis of Eye-Tracking Information for Motor Imagery Assessments

A novel set of features extracted from the nonlinear dynamics of the eye gaze signal to discriminate between good and bad imagers are proposed and may be used as a more objective and physiological-based measure of MI ability.

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Evidence that mental processes are co-programmed both at the somatic and autonomic levels of the central nervous system (CNS) will be provided, and how peripheral physiological responses may be analyzed to provide objective evidence that MI is actually performed is detailed.

Motor and Kinesthetic Imagery

The idea that motor imagery evokes similar motor representations as execution of movements may be used in a range of different applications such as motor (re)learning in sport psychology and rehabilitation of motor disorders.
...

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