The timing of mentally represented actions

Decety, Jean; Jeannerod, Marc; Prablanc, Claude

doi:10.1016/s0166-4328(89)80088-9

Cited by 672 publications

(381 citation statements)

References 17 publications

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“…These regions have been involved in a number of studies in motor imagery (see reviews from Grèzes and Decety, 2001;Munzert et al, 2009). Several studies using neuroimaging (Kosslyn et al, 2001), transcranial magnetic stimulation (Ganis et al, 2000), or clinical investigations (Sirigu et al, 1996) showed that motor imagery shares neural mechanisms with movement planning (Decety et al, 1989) and movement execution (Gerardin et al, 2000;Parsons et al, 1995), in particular in premotor cortex (e.g. Ionta et al, 2010) and parietal cortex (e.g.…”

Section: Shared Spectral and Anatomical Mechanisms Between Motor Imagmentioning

confidence: 99%

Shared electrophysiology mechanisms of body ownership and motor imagery

Evans

Blanke

2013

NeuroImage

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Although we feel, see, and experience our hands as our own (body or hand ownership), recent research has shown that illusory hand ownership can be induced for fake or virtual hands and may be useful for neuroprosthetics and brain-computer interfaces. Despite the vast amount of behavioral data on illusory hand ownership, neuroimaging studies are rare, in particular electrophysiological studies. Thus, while the neural systems underlying hand ownership are relatively well described, the spectral signatures of body ownership as measured by electroencephalography (EEG) remain elusive. Here we induced illusory hand ownership in an automated, computer-controlled manner using virtual reality while recording 64-channel EEG and found that illusory hand ownership is reflected by a body-specific modulation in the mu-band over fronto-parietal cortex. In a second experiment in the same subjects, we then show that mu as well as beta-band activity in highly similar fronto-parietal regions was also modulated during a motor imagery task often used in paradigms employing non-invasive brain-computer interface technology. These data provide insights into the electrophysiological brain mechanisms of illusory hand ownership and their strongly overlapping mechanisms with motor imagery in fronto-parietal cortex. They also highlight the potential of combining high-resolution EEG with virtual reality setups and automatized stimulation protocols for systematic, reproducible stimulus presentation in cognitive neuroscience, and may inform the design of non-invasive brain-computer interfaces.

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Section: Shared Spectral and Anatomical Mechanisms Between Motor Imagmentioning

confidence: 99%

Shared electrophysiology mechanisms of body ownership and motor imagery

Evans

Blanke

2013

NeuroImage

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“…Among the most impressive behavioral findings revealed by motor imagery studies is the fact that motor images retain the same temporal characteristics as the corresponding real action when it comes to execution. For example, it takes the same time to walk mentally to a prespecified target as it takes to actually walk to the same place [37]. Similarly, temporal regularities which are observed in executed actions are retained in their covert counterparts [38].…”

Section: The Simulation Theory: From Motor Imagery To Action Attributionmentioning

confidence: 99%

The mechanism of self-recognition in humans

Jeannerod

2003

Behavioural Brain Research

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420

256

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Recognizing oneself as the owner of a body and the agent of actions requires specific mechanisms which have been elucidated only recently. One of these mechanisms is the monitoring of signals arising from bodily movements, i.e. the central signals which contribute to the generation of the movements and the sensory signals which arise from their execution. The congruence between these two sets of signals is a strong index for determining the experiences of ownership and agency, which are the main constituents of the experience of being an independent self. This mechanism, however, does not account from the frequent cases where an intention is generated but the corresponding action is not executed. In this paper, it is postulated that such covert actions are internally simulated by activating specific cortical networks or representations of the intended actions. This process of action simulation is also extended to the observation and the recognition of actions performed or intended by other agents. The problem of disentangling representations that pertain to self-intended actions from those that pertain to actions executed or intended by others, is a critical one for attributing actions to their respective agents. Failure to recognize one's own actions and misattribution of actions may result from pathological conditions which alter the readability of these representations.

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“…It has also been shown that muscular force is enhanced by an 'imagined' training [39,51] and that autonomic activation is increased, compared to rest, when subjects imagine motor actions with large physical effort [8,9,33]. Interestingly, several studies showed that motor images of various motor tasks (arm pointing, writing and walking) preserve the same spatiotemporal characteristics and obey the same motor rules or biomechanical constraints as their actual counterparts [4,7,10,16,27,[34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Mentally represented motor actions in normal agingI. Age effects on the temporal features of overt and covert execution of actions

Skoura

Papaxanthis

Vinter

et al. 2005

Behavioural Brain Research

103

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The present study examines the temporal features of overt and covert actions as a function of normal aging. In the first experiment, we tested three motor tasks (walking, sit-stand-sit, arm pointing) that did not imply any particular spatiotemporal constraints, and we compared the duration of their overt and covert execution in three different groups of age (mean ages: 22.5, 66.2 and 73.4 years). We found that the ability of generating motor images did not differentiate elderly subjects from young subjects. Precisely, regarding overt and covert durations, subjects presented similarities for the walking and pointing tasks and dissimilarities for the stand-sit-stand task. Furthermore, the timing variability of imagined movements was always greater compared to actual movements and was of the same amount in the three groups of age. In the second experiment, we investigated the effect of age (three groups with mean ages: 22, 64.8 and 73.2 years) upon temporal characteristics of covert and overt movements involving strong spatiotemporal constraints (speed/accuracy trade-off paradigm). During overt execution young and elderly subjects respected Fitts's law despite the fact that movement speed progressively decreased with age. Thus, while execution is deteriorated, the motor preparation process is still intact in old age, and follows well-known laws of biological motions. For covert execution, movement speed progressively decreased with age but elderly subjects did not respect Fitts's law. This suggests that the generation and control of motor intentions that consciously do not come to execution, particularly those concerning complex motor actions are progressively perturbed in the aging brain.

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The timing of mentally represented actions

Cited by 672 publications

References 17 publications

Shared electrophysiology mechanisms of body ownership and motor imagery

Shared electrophysiology mechanisms of body ownership and motor imagery

The mechanism of self-recognition in humans

Mentally represented motor actions in normal agingI. Age effects on the temporal features of overt and covert execution of actions

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