Corticospinal excitability during observation and imagery of simple and complex hand tasks: Implications for motor rehabilitation

Roosink, Meyke; Zijdewind, Inge

doi:10.1016/j.bbr.2010.04.027

Cited by 119 publications

(106 citation statements)

References 74 publications

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“…These results add to the growing body of evidence demonstrating increases in corticospinal excitability during motor imagery and movement observation [e.g. 18,[19][20][21], supporting the theoretical potential for imagery and observation intervention programs to facilitate recovery from conditions such as stroke and traumatic brain injury. As noted in the introduction, the conditions under which patients may benefit from imagery or observational training programs is not yet clearly understood.…”

Section: Mep Findingssupporting

confidence: 66%

“…Recent studies have begun to explore factors that might affect the amplitude of MEPs observed, including task complexity and mode of imagery [20,21], but none have yet considered motor imagery ability. Therefore, in this study, we first measured motor imagery ability using two commonly used techniques -a self-report questionnaire; the Vividness of Movement Imagery Questionnaire-2 [22] and the hand rotation task [23].…”

Section: Introductionmentioning

confidence: 99%

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The relationship between corticospinal excitability during motor imagery and motor imagery ability

Williams

Pearce

Loporto

et al. 2012

Behavioural Brain Research

123

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It is commonly reported that transcranial magnetic stimulation (TMS) of the motor cortex during action observation and motor imagery results in increases in the amplitude of motor evoked potentials (MEPs) in muscles specific to the observed or imagined action. This study aimed to determine whether MEP amplitude was related to the motor imagery ability of participants. Participants were 15 healthy, right-handed adults (5 male), with a mean age of 29.7 years. Motor imagery ability was measured using the Vividness of Movement Imagery Questionnaire-2 (VMIQ-2) and a hand rotation task. TMS was delivered during observation and imagery of a finger-thumb opposition sequence and MEPs were measured in the abductor pollicis brevis. Significant increases in MEP amplitude, from baseline, were recorded during observation and imagery conditions. The change in amplitude to both observation and imagery was expressed as a percentage of baseline amplitude. There was a significant correlation between MEP change for the imagery condition and imagery ability, with greater change linked to more vivid images and faster response times. The relationship between MEP change for the observation condition and imagery ability was less salient. This is the first study to show that the strength of corticospinal activation during imagery, which may be a determinant of the effectiveness of imagery training, is related to imagery ability in the general population, and has implications for clinical programs.

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Section: Mep Findingssupporting

confidence: 66%

Section: Introductionmentioning

confidence: 99%

The relationship between corticospinal excitability during motor imagery and motor imagery ability

Williams

Pearce

Loporto

et al. 2012

Behavioural Brain Research

123

View full text Add to dashboard Cite

show abstract

“…patients watch another person or a video clip of a moving limb. It has been argued that movement observation activates the human mirror neuron system, which consists of neurons responding to both, the overt execution of an action and the observation of that same action performed by somebody else (Ertelt et al, 2007;Gazzola and Keysers, 2009;Iacoboni and Mazziotta, 2007;Pomeroy et al, 2005;Rizzolatti and Sinigaglia, 2010;Roosink and Zijdewind, 2010). Initial evidence suggests that movement observation can also be successfully applied in rehabilitation (Celnik et al, 2008;Ertelt et al, 2007;Stefan et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…However, the majority of this literature investigated only one mode of covert movement mode or, at most, compared two modes, usually motor imagery and observation (Clark et al, 2003;Filimon et al, 2007;Iseki et al, 2008;Lui et al, 2008;Macuga and Frey, 2012;Munzert et al, 2008;Piefke et al, 2009;Roosink and Zijdewind, 2010;Wang et al, 2008). Therefore inferences between studies have to be made when comparison between all modes of covert movement is to be conducted.…”

Section: Introductionmentioning

confidence: 99%

Cortical activation during executed, imagined, observed, and passive wrist movements in healthy volunteers and stroke patients

et al. 2012

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“…For instance, there is converging evidence from functional magnetic resonance imaging (fMRI), functional nearinfrared spectroscopy (fNIRS), and transcranial magnetic stimulation (TMS) studies that complex motor imagery is associated with greater hemodynamic change and higher amplitude motor-evoked potentials than simple motor imagery (e.g., Kuhtz-Buschbeck et al, 2003;Roosink & Zijdewind, 2010;Holper & Wolf, 2011). In the latter studies and in this paper, "complex" motor imagery is defined as tasks that involve sequences of movements (e.g., KuhtzBuschbeck et al, 2003;Roosink & Zijdewind, 2010;Holper & Wolf, 2011), and/or more than one body part (e.g., Holper & Wolf, 2011). Based on these findings, we hypothesized that actions involving more than one body part and more complex action sequences would result in more robust SMRs and, consequently, higher classification accuracy than traditional SMR-based BCI imagery tasks.…”

Section: Introductionmentioning

confidence: 99%

Complexity and familiarity enhance single-trial detectability of imagined movements with electroencephalography

Gibson

Chennu

Owen

et al. 2014

Clinical Neurophysiology

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Follow this and additional works at: https://ir.lib.uwo.ca/anatomypub Part of the Anatomy Commons, and the Cell and Developmental Biology Commons Citation of this paper:Gibson, Raechelle M.; Chennu, Srivas; Owen, Adrian M.; and Cruse, Damian, "Complexity and familiarity enhance single-trial detectability of imagined movements with electroencephalography" (2014 AbstractObjective: We sought to determine whether the sensorimotor rhythms (SMR) elicited during motor imagery (MI) of complex and familiar actions could be more reliably detected with electroencephalography (EEG), and subsequently classified on a single-trial basis, than those elicited during relatively simpler imagined actions.Methods: Groups of healthy volunteers, including experienced pianists and ice hockey players, performed MI of varying complexity and familiarity. Their electroencephalograms were recorded and compared using brain-computer interface (BCI) approaches and spectral analyses.Results: Relative to simple MI, significantly more participants produced classifiable SMR for at least one of the more complex imagined actions. During MI of performance of a complex musical piece, the EEG of the experienced pianists was classified significantly more accurately than during MI of performance of a simpler musical piece. The accuracy of EEG classification was also significantly more sustained during complex MI. Conclusion:MI of complex actions results in more robust EEG responses than MI of relatively simpler actions, and familiarity with actions can enhance this response in some cases. Significance:The accuracy of SMR-based BCIs in non-communicative patients may be improved by employing familiar and complex actions. Increased sensitivity to MI may also improve diagnostic accuracy for severely brain-injured patients in a Vegetative State.

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Corticospinal excitability during observation and imagery of simple and complex hand tasks: Implications for motor rehabilitation

Cited by 119 publications

References 74 publications

The relationship between corticospinal excitability during motor imagery and motor imagery ability

The relationship between corticospinal excitability during motor imagery and motor imagery ability

Cortical activation during executed, imagined, observed, and passive wrist movements in healthy volunteers and stroke patients

Complexity and familiarity enhance single-trial detectability of imagined movements with electroencephalography

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