Assessment of motor imagery in cerebral palsy via mental chronometry: The case of walking

Spruijt, Steffie; Jouen, François; Molina, Michèle; Kudlinski, Cyril; Guilbert, Jessica; Steenbergen, Bert

doi:10.1016/j.ridd.2013.08.044

Cited by 18 publications

(14 citation statements)

References 27 publications

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“…Many studies reported an alteration of motor imagery in CCP (Mutsaarts et al, 2006 , 2007 ; Crajé et al, 2010 ), despite a recent study questioned it for locomotor imagery (Spruijt et al, 2013 ). In children with developmental coordination disorder their problems in generating a mental representation of an intended action have been hypothesized to be associated with internal modeling deficit (Gabbard and Bobbio, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

The brainâ€™s sense of walking: a study on the intertwine between locomotor imagery and internal locomotor models in healthy adults, typically developing children and children with cerebral palsy

Iosa¹,

Zoccolillo²,

Montesi³

et al. 2014

Front. Hum. Neurosci.

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Motor imagery and internal motor models have been deeply investigated in literature. It is well known that the development of motor imagery occurs during adolescence and it is limited in people affected by cerebral palsy. However, the roles of motor imagery and internal models in locomotion as well as their intertwine received poor attention. In this study we compared the performances of healthy adults (n = 8, 28.1 ± 5.1 years old), children with typical development (n = 8, 8.1 ± 3.8 years old) and children with cerebral palsy (CCP) (n = 12, 7.5 ± 2.9 years old), measured by an optoelectronic system and a trunk-mounted wireless inertial magnetic unit, during three different tasks. Subjects were asked to achieve a target located at 2 or 3 m in front of them simulating their walking by stepping in place, or actually walking blindfolded or normally walking with open eyes. Adults performed a not significantly different number of steps (p = 0.761) spending not significantly different time between tasks (p = 0.156). Children with typical development showed task-dependent differences both in terms of number of steps (p = 0.046) and movement time (p = 0.002). However, their performance in simulated and blindfolded walking (BW) were strictly correlated (R = 0.871 for steps, R = 0.673 for time). Further, their error in BW was in mean only of −2.2% of distance. Also CCP showed significant differences in number of steps (p = 0.022) and time (p < 0.001), but neither their number of steps nor their movement time recorded during simulated walking (SW) were found correlated with those of blindfolded and normal walking (NW). Adults used a unique strategy among different tasks. Children with typical development seemed to be less reliable on their motor predictions, using a task-dependent strategy probably more reliable on sensorial feedback. CCP showed less efficient performances, especially in SW, suggesting an altered locomotor imagery.

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Section: Introductionmentioning

confidence: 99%

The brainâ€™s sense of walking: a study on the intertwine between locomotor imagery and internal locomotor models in healthy adults, typically developing children and children with cerebral palsy

Iosa¹,

Zoccolillo²,

Montesi³

et al. 2014

Front. Hum. Neurosci.

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“…Thus, MC provides semi-quantitative information about the temporal congruence between executed and imagined movements (Guillot et al, 2010b) and it is considered an objective measure of MI ability (Collet et al, 2011), even if the exact timing (onset and offset) of the imagination process is, actually, self-reported. In the literature, MC has been applied in several fields such as cognitive psychophysiology (Heremans et al, 2008), cognitive neuroscience (Spruijt et al, 2013), and behavioral neuroscience (Bakker et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Analysis of Eye-Tracking Information for Motor Imagery Assessments

et al. 2020

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This study investigates the assessment of motor imagery (MI) ability in humans. Commonly, MI ability is measured through two methodologies: a self-administered questionnaire (MIQ-3) and the mental chronometry (MC), which measures the temporal discrepancy between the actual and the imagined motor tasks. However, both measures rely on subjects' self-assessment and do not use physiological measures. In this study, we propose a novel set of features extracted from the nonlinear dynamics of the eye gaze signal to discriminate between good and bad imagers. To this aim, we designed an experiment where twenty volunteers, categorized as good or bad imagers according to MC, performed three tasks: a motor task (MT), a visual Imagery task (VI), and a kinaesthetic Imagery task (KI). Throughout the experiment, the subjects' eye gaze was continuously monitored using an eye-tracking system. Eye gaze time series were analyzed through recurrence quantification analysis of the reconstructed phase space and compared between the two groups. Statistical results have shown how nonlinear eye behavior can express an inner dynamics of imagery mental process and may be used as a more objective and physiological-based measure of MI ability.

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“…The angle of rotation can vary from 0 o with the fingers pointing up to 180 o with the fingers pointing down; the direction of rotation can vary between 90 o with the fingers towards the midline of the body (medial orientation) and 270 o with the fingers away from the body (lateral orientation, see Figure 1 ). Other tasks and methods have been employed as well, for example, mental chronometry tasks ( Spruijt et al, 2013 ). In addition, neuroimaging research on both the HLJ task and mental chronometry tasks has shed light on the involved neural substrates (for a comprehensive review see Hétu et al, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

Examining Developmental Changes in Children’s Motor Imagery: A Longitudinal Study

Spruijt

Jongsma

Kamp

et al. 2017

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Using a longitudinal design, the present study examined developmental changes in the employment of (motor) imagery strategies on the hand laterality judgment (HLJ) task in children. All children (N = 23) participated three times, at ages of 5, 6, and 7 years. Error percentages and response durations were compared to a priori defined sinusoid models, representing different strategies to judge hand laterality. Response durations of correct and incorrect trials were included. Observed data showed that task performance was affected by motor constraints, both in children who performed accurately at 5 years of age and in the children who did not. This is the first study to show that 5-year-olds—even when not successful at the task—employ motor imagery when engaged in this task. Importantly, although the children became faster and more accurate with age, no developmental changes in the employed motor imagery strategy were observed at ages of 5, 6, and 7 years. We found that 5-year-old children are able to use a motor imagery strategy to perform the HL J task. Although performance on this task improved with age, our analyses showed that the employed strategy to solve this task remained invariant across age.

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Assessment of motor imagery in cerebral palsy via mental chronometry: The case of walking

Cited by 18 publications

References 27 publications

The brainâ€™s sense of walking: a study on the intertwine between locomotor imagery and internal locomotor models in healthy adults, typically developing children and children with cerebral palsy

The brainâ€™s sense of walking: a study on the intertwine between locomotor imagery and internal locomotor models in healthy adults, typically developing children and children with cerebral palsy

Nonlinear Analysis of Eye-Tracking Information for Motor Imagery Assessments

Examining Developmental Changes in Children’s Motor Imagery: A Longitudinal Study

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