Motor Imagery-Based Rehabilitation: Potential Neural Correlates and Clinical Application for Functional Recovery of Motor Deficits after Stroke

Tong, Yanna; Pendy, John T.; Li, William A; Du, Hongguang; Zhang, Tong; Xu, Geng; Ding, Yuchuan

doi:10.14336/ad.2016.1012

Cited by 51 publications

(25 citation statements)

References 86 publications

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“…The MI rehabilitation paradigm applied in this study is not limited to a specific type of patient condition. According to similar studies [8,55,56], it could be used for post-stroke treatment, spinal cord injury (SCI) patients, trauma, etc. Moreover, as [57] have shown, by simultaneously combining motor imagery and action observation when compared to simply observing the action, we see an enhanced corticomotor excitability that might result from the activation of mirror neurons.…”

Section: Discussionmentioning

confidence: 99%

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Low-Cost Robotic Guide Based on a Motor Imagery Brain–Computer Interface for Arm Assisted Rehabilitation

Quiles

Suay

Candela

et al. 2020

IJERPH

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Motor imagery has been suggested as an efficient alternative to improve the rehabilitation process of affected limbs. In this study, a low-cost robotic guide is implemented so that linear position can be controlled via the user’s motor imagination of movement intention. The patient can use this device to move the arm attached to the guide according to their own intentions. The first objective of this study was to check the feasibility and safety of the designed robotic guide controlled via a motor imagery (MI)-based brain–computer interface (MI-BCI) in healthy individuals, with the ultimate aim to apply it to rehabilitation patients. The second objective was to determine which are the most convenient MI strategies to control the different assisted rehabilitation arm movements. The results of this study show a better performance when the BCI task is controlled with an action–action MI strategy versus an action–relaxation one. No statistically significant difference was found between the two action–action MI strategies.

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Section: Discussionmentioning

confidence: 99%

“…MI can rely on the imagination of body movements and does not depend on parasitic or residual motor abilities [4][5][6]. Various studies point to the positive effect that motor imagination training can produce on motor recovery [7,8].…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Robotic Guide Based on a Motor Imagery Brain–Computer Interface for Arm Assisted Rehabilitation

Quiles

Suay

Candela

et al. 2020

IJERPH

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“…Passive observation of video clips of relevant motor actions or functions during free time, especially in the critical acute and subacute phases of stroke (Bernhardt et al, 2004), when most spontaneous biological recovery occurs (Duncan et al, 2000;Dromerick et al, 2015), may enhance motor recovery. It should be taken into consideration, however, that patients may respond differently to AO and/or MI, e.g., some poststroke patients may have difficulties engaging in MI due to cognitive impairments (Tong et al, 2017), while others may not benefit from AO if their lesions involve cortical regions that contain large aggregates of mirror neurons [i.e., the IPL and inferior frontal gyrus pars opercularis (IFGpo); for a review, see Rizzolatti et al, 2014]. Also, some poststroke patients with cognitive impairments may perceive the combination of MI+AO as being too difficult, since besides making sure that they have sufficient cognitive abilities to comprehend and carry out MI task instructions, the MI of the motor actions should be coordinated with the observed actions.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Instruction Manipulation on Motor Performance Following Action Observation

Frenkel‐Toledo

Einat

Kozol

2020

Front. Hum. Neurosci.

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The effects of action observation (AO) on motor performance can be modulated by instruction. The effects of two top-down aspects of the instruction on motor performance have not been fully resolved: those related to attention to the observed task and the incorporation of motor imagery (MI) during AO. In addition, the immediate vs. 24-h retention test effects of those instruction's aspects are yet to be elucidated. Fortyeight healthy subjects were randomly instructed to: (1) observe reaching movement (RM) sequences toward five lighted units with the intention of reproducing the same sequence as fast and as accurate as possible (Intentional + Attentional group; AO+At);(2) observe the RMs sequence with the intention of reproducing the same sequence as fast and as accurate as possible and simultaneously to the observation to imagine performing the RMs (Intentional + attentional + MI group; AO+At+MI); and (3) observe the RMs sequence (Passive AO group). Subjects' performance was tested before and immediately after the AO and retested after 24 h. During each of the pretest, posttest, and retest, the subject performed RMs toward the units that were activated in the same order as the observed sequence. Occasionally, the sequence order was changed by beginning the sequence with a different activated unit. The outcome measures were: averaged response time of the RMs during the sequences, difference between the response time of the unexpected and expected RMs and percent of failures to reach the target within 1 s. The averaged response time and the difference between the response time of the unexpected and expected RMs were improved in all groups at posttest compared to pretest, regardless of instruction. Averaged response time was improved in the retest compared to the posttest only in the Passive AO group. The percent of failures across groups was higher in pretest compared to retest. Our findings suggest that manipulating top-down aspects of instruction by adding attention and MI to AO in an RM sequence task does not improve subsequent performance more than passive observation. Off-line learning of the sequence in the retention test was improved in comparison to posttest following passive observation only.

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“…We think that, at least for sensori-motor suggestions, stronger functional equivalence between imagery and perception can support the socio-cognitive views by including the degree of imageryinduced cortical activation among the many factors involved in the response to suggestions 28 . In clinical contexts, the strength of the functional equivalence between imagery and perception may predict the efficacy of imaginative training in neuro-rehabilitation 78,79 and sports 9,80 . In this respect, hypnotic assessment could become an easy and cheap tool to orient the set-up of individualized mental training.…”

Section: /20mentioning

confidence: 99%

Topology highlights mesoscopic functional equivalence between imagery and perception

Ibáñez‐Marcelo

Campioni

Phinyomark

et al. 2018

Preprint

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The functional equivalence between mental images and perception or motion has been proposed on the basis of neuroimaging evidence of large spatially overlapping activations between real and imagined sensori-motor conditions. However, similar local activation patterns do not imply the same mesoscopic integration of brain regions active during imagery and perception or action. Here we present the first EEG evidence of topological equivalence between functional network organization at intermediate and global scales during tasks. We show that the degree of functional equivalence varies in the population and is associated with different magnitudes in the restructuring of the functional connectivity between imagery and real tasks. In particular, changes observed during imagery with respect to basal conditions account for the cognitive effort experienced during imagery, and subjects characterized by stronger functional equivalence exhibit smaller topological deviations in the imagination tasks performed after real tasks, thus showing learning effects. Altogether, our findings point to different sensori-cognitive information processing in the subjects showing different functional equivalence. We anticipate our results to be a starting point for a novel dynamical description of functional equivalence, which will be relevant for socio-cognitive theories of embodiment and cognitive formulations of how different selves emerge from neurophysiological assets.

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Motor Imagery-Based Rehabilitation: Potential Neural Correlates and Clinical Application for Functional Recovery of Motor Deficits after Stroke

Cited by 51 publications

References 86 publications

Low-Cost Robotic Guide Based on a Motor Imagery Brain–Computer Interface for Arm Assisted Rehabilitation

Low-Cost Robotic Guide Based on a Motor Imagery Brain–Computer Interface for Arm Assisted Rehabilitation

The Effects of Instruction Manipulation on Motor Performance Following Action Observation

Topology highlights mesoscopic functional equivalence between imagery and perception

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