An athlete closes her eyes and pictures a jump. She can describe the arc of her body clearly, yet the imagined movement takes half as long as the real one. Has her motor imagery been measured as vivid or poor? The answer depends on what the investigator meant to test. A visual picture of movement, the felt simulation of effort and position, and a timed rehearsal of an action are related experiences, but one may be strong while another is weak. A questionnaire score alone cannot settle which process occurred during the imagined jump.
Motor imagery is the mental simulation of an action without overt performance of that action. It can involve an external view of one’s body or a first-person sense of movement. This Methods & Measures entry asks how researchers assess those experiences and the behavior that may accompany them. It is distinct from proprioception, which concerns information arising from actual body state and movement, and sensorimotor prediction, which concerns expected consequences of actions. Motor imagery may recruit both, but measuring one does not automatically measure the others.
Define what is imagined
A participant can “imagine throwing a ball” in several ways: seeing a scene from outside, seeing the target through their own eyes, feeling the arm accelerate, rehearsing the sequence of decisions, or silently describing the movement. A study should specify perspective, sensory modality, body part, action and duration. If participants choose their own strategy, two people can receive the same instruction but perform different mental tasks. A debriefing question can help, although a retrospective report cannot prove every moment of the trial.
Visual and kinesthetic imagery often appear as separate questionnaire dimensions. The Kinesthetic and Visual Imagery Questionnaire was developed for people with physical disabilities and asks about ease or vividness of these forms after observed or attempted movements. Its validation is useful for the populations and instructions studied. It does not mean a high visual score proves a person experiences accurate kinesthetic predictions, or that the same factor structure travels unchanged to every age, language or clinical group.
The Movement Imagery Questionnaire-Revised, Second Edition similarly distinguishes visual and kinesthetic dimensions. Research in stroke samples examined its reliability and relation to another imagery measure. Those results show why accessibility matters: a measure should not require an action a participant cannot safely perform merely to rate the image. At the same time, modifications to an instrument alter what experience anchors its questions. A translated or shortened version needs its own evidence rather than inheriting validity from the original name.
Questionnaires ask what people believe about their imagery. They may be influenced by confidence, interpretation of “vivid,” willingness to endorse a statement and comparisons with other people whose experiences are unknown. A person can report a detailed image but use a nonmotor visual scene; another can have a useful bodily simulation that is hard to describe. The score is a self-report outcome under particular wording, not an objective count of simulated motor commands.
Use timing as one behavioral signature
Mental chronometry compares the duration of imagined and executed movement. Decety and Michel studied actual and mental movement times in graphic tasks. Similarity in duration can support a shared constraint between imagery and action under those conditions, but timing alone does not reveal the content of the imagined event. A person might count seconds, recite steps or copy a learned duration. Instructions and control tasks should make these alternatives less plausible.
Task difficulty can influence both actual and imagined time. A longer route or more demanding sequence may take longer in both modes, even if the internal mechanisms are partly different. A strong design varies movement difficulty, measures real performance, and asks whether imagery time changes in a corresponding way. It should distinguish a correlation across tasks from close matching for each individual movement. Two durations can correlate while being consistently offset.
Execution is not a fixed gold standard. An imagined action might represent an ideal smooth movement rather than the participant’s current slow or impaired performance. People can choose a different perspective, omit difficult transitions or imagine a familiar version of a task. If the actual task is painful or mechanically restricted, a duration difference may say more about current physical limitation than about imagery capacity. Reports should describe the participant’s physical ability and the intended imagined movement.
A stopwatch estimate adds measurement error. The participant may signal imagined onset and end at uncertain moments, and the experimenter may not know whether the image continued during pauses. Repeated trials, clear start/end cues and a range of task durations improve interpretability. A near-perfect match on a single trial is weak evidence; a consistent pattern across suitably varied actions is more informative.
Be careful with hand-laterality and rotation tasks
In a hand-laterality judgment, a picture of a hand is shown at an unusual orientation and the participant chooses left or right. Response time may rise as rotation becomes more awkward, a pattern often interpreted as embodied motor simulation. But a person may use visual rotation or feature rules instead. The same response can arise through several strategies, especially after practice. The task measures performance on transformed images first; a motor-imagery inference requires additional controls.
Body posture can provide one test. If changing the participant’s actual hand posture changes laterality judgments in a way predicted by motor constraints, a purely visual strategy becomes less sufficient. Yet posture also affects comfort, attention and response speed. Manipulations should be paired with nonbody rotation controls and careful instructions. A motor effect in one task does not imply that every hand-image judgment is an imagery trial.
Children’s motor imagery research often uses laterality and chronometry tasks because young participants may struggle with detailed introspective ratings. A review of developmental studies notes these common paradigms. Age comparisons need to account for changes in understanding left and right, response speed, motor repertoire and visual-spatial skill. A slower child is not automatically less capable of motor imagery. The task’s supporting abilities develop too.
Training can change strategy. Someone who initially imagines moving a hand may learn a visual shortcut for repeated stimuli. Conversely, an instruction to “feel the movement” may encourage kinesthetic simulation in a task that participants otherwise solve visually. Researchers should state the instruction, trial history and whether strategies were checked. An intervention that raises laterality accuracy may have taught a classification rule rather than improved imagery.
Interpret neural measures within their contrasts
Neuroimaging studies find overlapping and distinct activity when people imagine and execute actions. Hétu and colleagues’ coordinate-based meta-analysis identified a network associated with motor imagery across studies. This supports a systematic neural phenomenon; it does not provide a person-level meter of imagery vividness. Studies differ in action, perspective, control condition and scanner instructions, all of which shape the resulting activation map.
Muscle activity should be monitored when a task requires stillness. Tiny contractions can accompany attempted imagery and alter imaging or physiological signals. An electromyographic trace can help detect overt movement, but absence of detectable activity does not prove the participant formed the intended image. The inference runs in both directions: a brain response is not sufficient proof of imagery content, and quiet muscles are not sufficient proof of successful simulation.
EEG rhythms and other physiological indices can reflect attention, preparation or general task engagement in addition to imagery. A classifier that distinguishes “imagine left hand” from “imagine right hand” in one session shows discriminable neural patterns under its training procedure. It does not prove the machine has recovered a private picture or that the participant has a stable general ability. Generalization to new sessions, actions and people is a separate validation question.
Neural overlap with action can be misread as identity. Imagining a jump does not impose the same forces, sensory feedback or consequences as jumping. Some shared planning regions may coexist with strong differences in sensory and motor output. A mechanistic claim should specify which process is shared and how the experiment excludes generic attention or working-memory demands. “The same brain areas lit up” is insufficiently precise.
Separate ability from the effect of imagery practice
Many people study motor imagery because rehearsal may help learning or rehabilitation. That outcome is distinct from measuring the imagery episode itself. An intervention can improve performance through expectation, motivation, attention to technique or additional practice time. If a study claims that imagery caused improvement, the comparison condition should match time and engagement as far as possible, and assessors should be blinded when feasible.
A person might improve at imagining an action without improving at executing it. That is not a failed measurement if the question was about imagery ability. Conversely, performance might improve even if vividness ratings do not change. The pathways could differ. A study should preregister whether its primary outcome is reported imagery, chronometry, laterality performance, neural discrimination or actual movement. Combining them into one success criterion after seeing the data invites selective interpretation.
Physical practice and imagery practice can be intertwined. A participant who performs the action before each imagery trial receives repeated real practice. That may be necessary to make the image meaningful, but it prevents attribution of later improvement to imagery alone. Design options include matched execution exposures, counterbalanced task orders or a comparison activity. The report should count all practice, not only the minutes spent with eyes closed.
Transfer requires new actions or contexts. Better performance on the rehearsed sequence may reflect familiarity with that sequence. A claim about general motor imagery ability needs evidence across actions that vary in complexity, body part and sensory modality. A clinical claim needs outcomes relevant to the person’s functioning, not just a questionnaire score. The measure and the hoped-for benefit should remain separate throughout the paper.
Look for converging, not identical, measures
A well-designed study might collect visual and kinesthetic ratings, imagined and real movement durations, strategy reports and movement monitoring. The measures need not correlate highly. They ask different questions. A participant can generate vivid pictures with weak felt movement, or match timings through a rehearsed counting strategy. Convergence is meaningful only when the measures’ alternative explanations differ and the theoretical prediction says why they should align.
A systematic review of imagery assessments found variation in psychometric quality and construct coverage. That finding discourages a simple ranking of instruments. Investigators should choose a measure for the population, movement and inference at hand, then check its reliability and validity in that setting. If a study uses an abbreviated scale because a clinical participant fatigues easily, that is reasonable, but the reduced content should be acknowledged.
Test-retest reliability matters for individual comparisons. A group-level association can be robust while a single person’s score fluctuates with sleep, pain, task familiarity or mood. If a measure is intended to select people for an intervention, its ability to predict relevant response must be tested rather than presumed from internal consistency. A questionnaire with coherent items may still predict little about subsequent movement learning.
Language and culture influence imagery prompts. “See yourself from outside” or “feel your muscles” may be interpreted differently across participants. Translation should preserve the task demand, not merely the words. For some people, especially those with sensory or motor impairment, an image of a currently impossible action may rely on memory or observation. Their response is not invalid; it answers a different question from imagery of an immediately executable movement.
The Institute’s measurement framework here synthesizes the cited psychometric, behavioral and imaging studies. It is not a validated new motor imagery scale. Its practical instruction is to name the imagined action, modality and perspective; record what the participant did and could do; and report the proxy’s alternative explanations. Precision helps avoid turning a compelling internal experience into an unsupported global trait.
What the evidence does not show
No cited questionnaire gives direct access to the exact content of a private image. High vividness ratings do not guarantee accurate movement timing or effective practice. Similar imagined and executed durations do not prove the person used a motor simulation rather than a timing strategy. Hand-laterality effects can be consistent with motor imagery without making every response a measure of it.
Brain activity during imagined movement does not establish that imagined and executed actions are identical. A classifier’s success under one protocol is not a diagnostic test of imagery ability. Study-level reliability for an instrument in one population does not guarantee validity in another. Motor imagery may be useful in training, but this entry’s measurement evidence alone does not prescribe a rehabilitation program or predict individual benefit.
The evidence also does not collapse motor imagery into proprioception or sensorimotor prediction. Felt simulation may use prior bodily information, and prediction may occur during actual action, but each construct can be investigated with a distinct question. Keeping them separate prevents an attractive story about “embodiment” from replacing a measurement argument.
Return to the imagined jump
The athlete’s clear picture and short imagined duration become a useful finding if the study asks how she pictured the action, whether she felt the movement, what jump she actually performed, and how timing was measured. The discrepancy might expose a visual-only strategy, omission of a difficult phase, an intentionally idealized jump or simple timing error. Further contrasts can test those possibilities. It is too early to label her imagery good or bad.
Motor imagery is worth studying because people can rehearse action when the body is still. Measuring that capacity requires respecting its several forms and the limits of every proxy. A good result says what was imagined, how the evidence was obtained and what competing explanation remains. It leaves the athlete’s full ability larger than a single vividness rating, response time or scan.
Research references
- Malouin, F., Richards, C. L., Jackson, P. L., Lafleur, M. F., Durand, A., & Doyon, J. (2007). The Kinesthetic and Visual Imagery Questionnaire (KVIQ) for assessing motor imagery in persons with physical disabilities: A reliability and construct validity study. Journal of Neurologic Physical Therapy, 31, 20–29. View source
- Butler, A. J., Cazeaux, J., Fidler, A., et al. (2012). The Movement Imagery Questionnaire-Revised, Second Edition (MIQ-RS) is a reliable and valid tool for evaluating motor imagery in stroke populations. Evidence-Based Complementary and Alternative Medicine, 2012, 497289. View source
- Decety, J., & Michel, F. (1989). Comparative analysis of actual and mental movement times in two graphic tasks. Brain and Cognition, 11, 87–97. View source
- Hétu, S., et al. (2013). The neural network of motor imagery: An ALE meta-analysis. Neuroscience & Biobehavioral Reviews, 37, 930–949. View source
- Spruijt, S., van der Kamp, J., & Steenbergen, B. (2015). Current insights in the development of children’s motor imagery ability. Frontiers in Psychology. View source
- Suica, Z., Behrendt, F., Gäumann, S., et al. (2022). Imagery ability assessments: A cross-disciplinary systematic review and quality evaluation of psychometric properties. BMC Medicine, 20, 166. View source