From simulation to motor execution: a review of the impact of dynamic motor imagery on performance

2021 ◽  
pp. 1-20
Author(s):  
Aymeric Guillot ◽  
Franck Di Rienzo ◽  
Cornelia Frank ◽  
Ursula Debarnot ◽  
Tadhg E. MacIntyre
Keyword(s):  
Motor Imagery ◽  
Motor Execution ◽  
The Impact

scholarly journals Source Detection and Functional Connectivity of the Sensorimotor Cortex during Actual and Imaginary Limb Movement: A Preliminary Study on the Implementation of eConnectome in Motor Imagery Protocols

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Alkinoos Athanasiou ◽  
Chrysa Lithari ◽  
Konstantina Kalogianni ◽  
Manousos A. Klados ◽  
Panagiotis D. Bamidis
Keyword(s):  
Functional Connectivity ◽  
Motor Imagery ◽  
Sensorimotor Cortex ◽  
Mu Rhythm ◽  
Source Detection ◽  
Motor Execution ◽  
Motor Tasks ◽  
Computer Interfaces ◽  
Preliminary Study ◽  
Real Hand

Introduction. Sensorimotor cortex is activated similarly during motor execution and motor imagery. The study of functional connectivity networks (FCNs) aims at successfully modeling the dynamics of information flow between cortical areas.Materials and Methods. Seven healthy subjects performed 4 motor tasks (real foot, imaginary foot, real hand, and imaginary hand movements), while electroencephalography was recorded over the sensorimotor cortex. Event-Related Desynchronization/Synchronization (ERD/ERS) of the mu-rhythm was used to evaluate MI performance. Source detection and FCNs were studied with eConnectome.Results and Discussion. Four subjects produced similar ERD/ERS patterns between motor execution and imagery during both hand and foot tasks, 2 subjects only during hand tasks, and 1 subject only during foot tasks. All subjects showed the expected brain activation in well-performed MI tasks, facilitating cortical source estimation. Preliminary functional connectivity analysis shows formation of networks on the sensorimotor cortex during motor imagery and execution.Conclusions. Cortex activation maps depict sensorimotor cortex activation, while similar functional connectivity networks are formed in the sensorimotor cortex both during actual and imaginary movements. eConnectome is demonstrated as an effective tool for the study of cortex activation and FCN. The implementation of FCN in motor imagery could induce promising advancements in Brain Computer Interfaces.

EEG activity under different speeds and prompt types in motor imagery and motor execution

2021 ◽  
Author(s):  
Yidan Ding ◽  
Peiyuan Xie ◽  
Songwei Li ◽  
Jianjun Meng
Keyword(s):  
Motor Imagery ◽  
Motor Execution ◽  
Eeg Activity

scholarly journals Corrigendum: Aging Changes Effective Connectivity of Motor Networks During Motor Execution and Motor Imagery

2020 ◽  
Vol 12 ◽  
Author(s):  
Li Wang ◽  
Ye Zhang ◽  
Jingna Zhang ◽  
Linqiong Sang ◽  
Pengyue Li ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Effective Connectivity ◽  
Motor Execution

scholarly journals Disentangling motor execution from motor imagery with the phantom limb

Brain ◽  
2012 ◽  
Vol 135 (2) ◽  
pp. 582-595 ◽  
Author(s):  
Estelle Raffin ◽  
Jérémie Mattout ◽  
Karen T. Reilly ◽  
Pascal Giraux
Keyword(s):  
Motor Imagery ◽  
Phantom Limb ◽  
Motor Execution

scholarly journals Cortical activity during motor execution, motor imagery, and imagery-based online feedback

2010 ◽  
Vol 107 (9) ◽  
pp. 4430-4435 ◽  
Author(s):  
K. J. Miller ◽  
G. Schalk ◽  
E. E. Fetz ◽  
M. den Nijs ◽  
J. G. Ojemann ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Cortical Activity ◽  
Motor Execution ◽  
Online Feedback

scholarly journals Brain Activation in Primary Motor and Somatosensory Cortices during Motor Imagery Correlates with Motor Imagery Ability in Stroke Patients

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Linda Confalonieri ◽  
Giuseppe Pagnoni ◽  
Lawrence W. Barsalou ◽  
Justin Rajendra ◽  
Simon B. Eickhoff ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Brain Activity ◽  
Premotor Cortex ◽  
Region Of Interest ◽  
Wave Force ◽  
Sine Wave ◽  
Lower Percentage ◽  
Imagery Ability ◽  
Motor Execution ◽  
Stroke Patients

Aims. While studies on healthy subjects have shown a partial overlap between the motor execution and motor imagery neural circuits, few have investigated brain activity during motor imagery in stroke patients with hemiparesis. This work is aimed at examining similarities between motor imagery and execution in a group of stroke patients. Materials and Methods. Eleven patients were asked to perform a visuomotor tracking task by either physically or mentally tracking a sine wave force target using their thumb and index finger during fMRI scanning. MIQ-RS questionnaire has been administered. Results and Conclusion. Whole-brain analyses confirmed shared neural substrates between motor imagery and motor execution in bilateral premotor cortex, SMA, and in the contralesional inferior parietal lobule. Additional region of interest-based analyses revealed a negative correlation between kinaesthetic imagery ability and percentage BOLD change in areas 4p and 3a; higher imagery ability was associated with negative and lower percentage BOLD change in primary sensorimotor areas during motor imagery.

scholarly journals Effects of a single mental chronometry training session in subacute stroke patients – a randomized controlled trial

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Joachim Liepert ◽  
Jana Stürner ◽  
Imke Büsching ◽  
Aida Sehle ◽  
Mircea A. Schoenfeld
Keyword(s):  
Motor Imagery ◽  
Training Session ◽  
Silent Period ◽  
Motor Execution ◽  
Stroke Patients ◽  
Identification Task ◽  
Sensory Deficits ◽  
Subacute Stroke ◽  
Mental Chronometry ◽  
Motor Excitability

Abstract Background Motor imagery training might be helpful in stroke rehabilitation. This study explored if a single session of motor imagery (MI) training induces performance changes in mental chronometry (MC), motor execution, or changes of motor excitability. Methods Subacute stroke patients (n = 33) participated in two training sessions. The order was randomized. One training consisted of a mental chronometry task, the other training was a hand identification task, each lasting 30 min. Before and after the training session, the Box and Block Test (BBT) was fully executed and also performed as a mental version which served as a measure of MC. A subgroup analysis based on the presence of sensory deficits was performed. Patients were allocated to three groups (no sensory deficits, moderate sensory deficits, severe sensory deficits). Motor excitability was measured by transcranial magnetic stimulation (TMS) pre and post training. Amplitudes of motor evoked potentials at rest and during pre-innervation as well as the duration of cortical silent period were measured in the affected and the non-affected hand. Results Pre-post differences of MC showed an improved MC after the MI training, whereas MC was worse after the hand identification training. Motor execution of the BBT was significantly improved after mental chronometry training but not after hand identification task training. Patients with severe sensory deficits performed significantly inferior in BBT execution and MC abilities prior to the training session compared to patients without sensory deficits or with moderate sensory deficits. However, pre-post differences of MC were similar in the 3 groups. TMS results were not different between pre and post training but showed significant differences between affected and unaffected side. Conclusion Even a single training session can modulate MC abilities and BBT motor execution in a task-specific way. Severe sensory deficits are associated with poorer motor performance and poorer MC ability, but do not have a negative impact on training-associated changes of mental chronometry. Studies with longer treatment periods should explore if the observed changes can further be expanded. Trial registration DRKS, DRKS00020355, registered March 9th, 2020, retrospectively registered

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