Статті в журналах з теми "Kinesthetic motor imagery"

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1

Sadato, Norihiro, and Eiichi Naito. "Emulation of kinesthesia during motor imagery." Behavioral and Brain Sciences 27, no. 3 (June 2004): 412–13. http://dx.doi.org/10.1017/s0140525x0438009x.

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Illusory kinesthetic sensation was influenced by motor imagery of the wrist following tendon vibration. The imagery and the illusion conditions commonly activated the contralateral cingulate motor area, supplementary motor area, dorsal premotor cortex, and ipsilateral cerebellum. This supports the notion that motor imagery is a mental rehearsal of movement, during which expected kinesthetic sensation is emulated by recruiting multiple motor areas, commonly activated by pure kinesthesia.
2

Ryo, K. "Kinestheitc motor imagery internally generate kinesthetic sensations." Neuroscience Research 38 (2000): S153. http://dx.doi.org/10.1016/s0168-0102(00)81764-2.

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3

Kwon, Sechang, Jingu Kim, and Teri Kim. "Neuropsychological Activations and Networks While Performing Visual and Kinesthetic Motor Imagery." Brain Sciences 13, no. 7 (June 22, 2023): 983. http://dx.doi.org/10.3390/brainsci13070983.

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This study aimed to answer the questions ‘What are the neural networks and mechanisms involved in visual and kinesthetic motor imagery?’, and ‘Is part of cognitive processing included during visual and kinesthetic motor imagery?’ by investigating the neurophysiological networks and activations during visual and kinesthetic motor imagery using motor imagery tasks (golf putting). The experiment was conducted with 19 healthy adults. Functional magnetic resonance imaging (fMRI) was used to examine neural activations and networks during visual and kinesthetic motor imagery using golf putting tasks. The findings of the analysis on cerebral activation patterns based on the two distinct types of motor imagery indicate that the posterior lobe, occipital lobe, and limbic lobe exhibited activation, and the right hemisphere was activated during the process of visual motor imagery. The activation of the temporal lobe and the parietal lobe were observed during the process of kinesthetic motor imagery. This study revealed that visual motor imagery elicited stronger activation in the right frontal lobe, whereas kinesthetic motor imagery resulted in greater activation in the left frontal lobe. It seems that kinesthetic motor imagery activates the primary somatosensory cortex (BA 2), the secondary somatosensory cortex (BA 5 and 7), and the temporal lobe areas and induces human sensibility. The present investigation evinced that the neural network and the regions of the brain that are activated exhibit variability contingent on the category of motor imagery.
4

Zhang, Lanlan, Yanling Pi, Hua Zhu, Cheng Shen, Jian Zhang, and Yin Wu. "Motor experience with a sport-specific implement affects motor imagery." PeerJ 6 (April 27, 2018): e4687. http://dx.doi.org/10.7717/peerj.4687.

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The present study tested whether sport-specific implements facilitate motor imagery, whereas nonspecific implements disrupt motor imagery. We asked a group of basketball players (experts) and a group of healthy controls (novices) to physically perform (motor execution) and mentally simulate (motor imagery) basketball throws. Subjects produced motor imagery when they were holding a basketball, a volleyball, or nothing. Motor imagery performance was measured by temporal congruence, which is the correspondence between imagery and execution times estimated as (imagery time minus execution time) divided by (imagery time plus execution time), as well as the vividness of motor imagery. Results showed that experts produced greater temporal congruence and vividness of kinesthetic imagery while holding a basketball compared to when they were holding nothing, suggesting a facilitation effect from sport-specific implements. In contrast, experts produced lower temporal congruence and vividness of kinesthetic imagery while holding a volleyball compared to when they were holding nothing, suggesting the interference effect of nonspecific implements. Furthermore, we found a negative correlation between temporal congruence and the vividness of kinesthetic imagery in experts while holding a basketball. On the contrary, the implement manipulation did not modulate the temporal congruence of novices. Our findings suggest that motor representation in experts is built on motor experience associated with specific-implement use and thus was subjected to modulation of the implement held. We conclude that sport-specific implements facilitate motor imagery, whereas nonspecific implements could disrupt motor representation in experts.
5

Coker Girón, Elizabeth, Tara Mclsaac, and Dawn Nilsen. "Effects of Kinesthetic versus Visual Imagery Practice on Two Technical Dance Movements." Journal of Dance Medicine & Science 16, no. 1 (March 2012): 36–38. http://dx.doi.org/10.1177/1089313x1201600105.

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Motor imagery is a type of mental practice that involves imagining the body performing a movement in the absence of motor output. Dance training traditionally incorporates mental practice techniques, but quantitative effects of motor imagery on the performance of dance movements are largely unknown. This pilot study compared the effects of two different imagery modalities, external visual imagery and kinesthetic imagery, on pelvis and hip kinematics during two technical dance movements, plié and sauté. Each of three female dance students (mean age = 19.7 years, mean years of training = 10.7) was assigned to use a type of imagery practice: visual imagery, kinesthetic imagery, or no imagery. Effects of motor imagery on peak external hip rotation varied by both modality and task. Kinesthetic imagery increased peak external hip rotation for pliés, while visual imagery increased peak external hip rotation for sautés. Findings suggest that the success of motor imagery in improving performance may be task-specific. Dancers may benefit from matching imagery modality to technical tasks in order to improve alignment and thereby avoid chronic injury.
6

Stepp, C. E., N. Oyunerdene, and Y. Matsuoka. "Kinesthetic Motor Imagery Modulates Intermuscular Coherence." IEEE Transactions on Neural Systems and Rehabilitation Engineering 19, no. 6 (December 2011): 638–43. http://dx.doi.org/10.1109/tnsre.2011.2168982.

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7

Rodrigues, E. C., T. Lemos, B. Gouvea, E. Volchan, L. A. Imbiriba, and C. D. Vargas. "Kinesthetic motor imagery modulates body sway." Neuroscience 169, no. 2 (August 2010): 743–50. http://dx.doi.org/10.1016/j.neuroscience.2010.04.081.

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8

Oldrati, Viola, Alessandra Finisguerra, Alessio Avenanti, Salvatore Maria Aglioti, and Cosimo Urgesi. "Differential Influence of the Dorsal Premotor and Primary Somatosensory Cortex on Corticospinal Excitability during Kinesthetic and Visual Motor Imagery: A Low-Frequency Repetitive Transcranial Magnetic Stimulation Study." Brain Sciences 11, no. 9 (September 10, 2021): 1196. http://dx.doi.org/10.3390/brainsci11091196.

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Consistent evidence suggests that motor imagery involves the activation of several sensorimotor areas also involved during action execution, including the dorsal premotor cortex (dPMC) and the primary somatosensory cortex (S1). However, it is still unclear whether their involvement is specific for either kinesthetic or visual imagery or whether they contribute to motor activation for both modalities. Although sensorial experience during motor imagery is often multimodal, identifying the modality exerting greater facilitation of the motor system may allow optimizing the functional outcomes of rehabilitation interventions. In a sample of healthy adults, we combined 1 Hz repetitive transcranial magnetic stimulation (rTMS) to suppress neural activity of the dPMC, S1, and primary motor cortex (M1) with single-pulse TMS over M1 for measuring cortico-spinal excitability (CSE) during kinesthetic and visual motor imagery of finger movements as compared to static imagery conditions. We found that rTMS over both dPMC and S1, but not over M1, modulates the muscle-specific facilitation of CSE during kinesthetic but not during visual motor imagery. Furthermore, dPMC rTMS suppressed the facilitation of CSE, whereas S1 rTMS boosted it. The results highlight the differential pattern of cortico-cortical connectivity within the sensorimotor system during the mental simulation of the kinesthetic and visual consequences of actions.
9

Ozlem, Ozcan, and Kul Hayriye. "Kinesthetic and visual imagery in young adults with chronic neck pain." Sanamed, no. 00 (2022): 4. http://dx.doi.org/10.5937/sanamed17-37885.

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Background:Young adults complain of neck pain almost every year. In recent years the ability of motor imagery (kinesthetic and visual imagery) in many musculoskeletal system problems other than neck pain in young adults has been investigated in the literature. The Cross-Sectional study aimed to question motor imagery ability in young adults with chronic neck pain. Methods: Two groups were included in the study: the chronic neck pain group (n = 83) and the control group (n = 91). Motor imagery ability of both groups was evaluated with Movement Imagery Questionnaire-3. Additionally, in the chronic neck pain group, pain was evaluated with the Short Form-McGill Pain Questionnaire, disability was evaluated with the Neck Disability Index, and kinesiophobia was evaluated with Tampa Scale for Kinesiophobia. Conclusions: Internal visual imagery and kinesthetic imagery were significantly different between chronic neck pain and control groups. There was a negative linear relationship between disability and internal visual imagery, external visual imagery, and kinesthetic imagery. Motor imagery ability is reduced in young adults with chronic neck pain. In addition, as the severity of disability increases, the motor imagery ability decreases. Therefore, it is considered appropriate to include a motor imagery training program when treating chronic neck pain in the future.
10

Ramezanzade, Hesam, Georgian Badicu, Stefania Cataldi, Fateme Parimi, Sahar Mohammadzadeh, Mahya Mohamadtaghi, Seyed Hojjat Zamani Zamani Sani, and Gianpiero Greco. "Sonification of Motor Imagery in the Basketball Jump Shot: Effect on Muscle Activity Amplitude." Applied Sciences 13, no. 3 (January 23, 2023): 1495. http://dx.doi.org/10.3390/app13031495.

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The purpose of this research was to study the effect of AudioVisual pattern on the muscle activity amplitude during mental imagery. For this purpose, 25 female students (20.73 ± 1.56 years old) engaged in mental imagery (internal, external, and kinesthetic) in three conditions: No pattern, Visual pattern, and AudioVisual pattern. The angular velocity of the elbow joint in the basketball jump shot skill was sonified and presented to the subjects as an auditory pattern. The results showed that the muscle activity amplitude in AudioVisual–kinesthetic and AudioVisual–internal (and not external) conditions is higher than for other conditions. Additionally, a positive correlation was observed between Visual–kinesthetic imagery ability and muscle activity amplitude in the AudioVisual pattern condition and in kinesthetic and internal imagery. In addition, the muscle activity amplitude of high and low Visual–kinesthetic imagery ability conditions were only different in the AudioVisual pattern. The superiority of the AudioVisual condition is most likely due to the auditory information presented in this research being closely related to the kinesthetic sense of movement.
11

Butler, Andrew J., Jennifer Cazeaux, Anna Fidler, Jessica Jansen, Nehama Lefkove, Melanie Gregg, Craig Hall, Kirk A. Easley, Neeta Shenvi, and Steven L. Wolf. "The Movement Imagery Questionnaire-Revised, Second Edition (MIQ-RS) Is a Reliable and Valid Tool for Evaluating Motor Imagery in Stroke Populations." Evidence-Based Complementary and Alternative Medicine 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/497289.

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Mental imagery can improve motor performance in stroke populations when combined with physical therapy. Valid and reliable instruments to evaluate the imagery ability of stroke survivors are needed to maximize the benefits of mental imagery therapy. The purposes of this study were to: examine and compare the test-retest intra-rate reliability of the Movement Imagery Questionnaire-Revised, Second Edition (MIQ-RS) in stroke survivors and able-bodied controls, examine internal consistency of the visual and kinesthetic items of the MIQ-RS, determine if the MIQ-RS includes both the visual and kinesthetic dimensions of mental imagery, correlate impairment and motor imagery scores, and investigate the criterion validity of the MIQ-RS in stroke survivors by comparing the results to the KVIQ-10. Test-retest analysis indicated good levels of reliability (ICC range: .83–.99) and internal consistency (Cronbachα: .95–.98) of the visual and kinesthetic subscales in both groups. The two-factor structure of the MIQ-RS was supported by factor analysis, with the visual and kinesthetic components accounting for 88.6% and 83.4% of the total variance in the able-bodied and stroke groups, respectively. The MIQ-RS is a valid and reliable instrument in the stroke population examined and able-bodied populations and therefore useful as an outcome measure for motor imagery ability.
12

Cowley, Patrick M., Brian C. Clark, and Lori L. Ploutz-Snyder. "Kinesthetic Motor Imagery Acutely Increases Spinal Excitability." Medicine & Science in Sports & Exercise 38, Supplement (May 2006): S446. http://dx.doi.org/10.1249/00005768-200605001-02748.

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13

Zapała, Dariusz, Emilia Zabielska-Mendyk, Andrzej Cudo, Marta Jaśkiewicz, Marcin Kwiatkowski, and Agnieszka Kwiatkowska. "The Role of Motor Imagery in Predicting Motor Skills in Young Male Soccer Players." International Journal of Environmental Research and Public Health 18, no. 12 (June 10, 2021): 6316. http://dx.doi.org/10.3390/ijerph18126316.

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The study aimed to find out whether the imagery ability within the two subcomponents of motor imagery (visual and kinesthetic) allows predicting the results in simple response time task and eye–hand coordination task in a group of young male soccer players (9–15 years old). Non-specific simple response time and eye–hand coordination play a key role in predicting specific sports performance level. Participants performed Reaction Time Task, Eye–Hand Coordination Task, and completed Motor Imagery Questionnaire–Revised. Data were submitted to the structural equations analysis based on the maximum likelihood method in order to estimate a structural model of relationship between variables. Results indicate visual rather than kinesthetic motor imagery is associated with non-specific motor skills. Higher scores on the visual motor imagery scale were observed to correlate with faster reaction times and better coordination in the study group. This supports the idea that during learning a new perceptual-motor-task the visual control is required. Results provide the evidence for the specific role of the third-person perspective imagery in young athletes playing soccer.
14

Dickstein, Ruth, and Judith E. Deutsch. "Motor Imagery in Physical Therapist Practice." Physical Therapy 87, no. 7 (July 1, 2007): 942–53. http://dx.doi.org/10.2522/ptj.20060331.

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Motor imagery is the mental representation of movement without any body movement. Abundant evidence on the positive effects of motor imagery practice on motor performance and learning in athletes, people who are healthy, and people with neurological conditions (eg, stroke, spinal cord injury, Parkinson disease) has been published. The purpose of this update is to synthesize the relevant literature about motor imagery in order to facilitate its integration into physical therapist practice. This update also will discuss visual and kinesthetic motor imagery, factors that modify motor imagery practice, the design of motor imagery protocols, and potential applications of motor imagery.
15

Klatzky, Roberta L. "On the relation between motor imagery and visual imagery." Behavioral and Brain Sciences 17, no. 2 (June 1994): 212–13. http://dx.doi.org/10.1017/s0140525x00034178.

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Jeannerod's target article describes support, through empirical and neurological findings, for the intriguing idea of motor imagery, a form of representation hypothesized to have levels of functional equivalence with motor preparation, while being consciously accessible. Jeannerod suggests that the subjectively accessible content of motor imagery allows it to be distinguished from motor preparation, which is unconscious. Motor imagery is distinguished from visual imagery in terms of content. Motor images are kinesthetic in nature; they are parametrized by variables such as force and time and they are potentially governed by kinematic rules. Jeannerod acknowledges, however, that motor and visual imagery may not easily be separated, because actions take place in a spatial environment. I agree; in fact, I suggest here that visualization may generally be concomitant with, and may even subjectively dominate, motor imagery.
16

Grangeon, M., A. Guillot, and C. Collet. "Postural Control During Visual and Kinesthetic Motor Imagery." Applied Psychophysiology and Biofeedback 36, no. 1 (January 28, 2011): 47–56. http://dx.doi.org/10.1007/s10484-011-9145-2.

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17

Seiler, Brian D., Eva V. Monsma, and Roger D. Newman-Norlund. "Biological Evidence of Imagery Abilities: Intraindividual Differences." Journal of Sport and Exercise Psychology 37, no. 4 (August 2015): 421–35. http://dx.doi.org/10.1123/jsep.2014-0303.

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This study extended motor imagery theories by establishing specificity and verification of expected brain activation patterns during imagery. Eighteen female participants screened with the Movement Imagery Questionnaire-3 (MIQ-3) as having good imagery abilities were scanned to determine the neural networks active during an arm rotation task. Four experimental conditions (i.e., KINESTHETIC, INTERNAL Perspective, EXTERNAL Perspective, and REST) were randomly presented (counterbalanced for condition) during three brain scans. Behaviorally, moderate interscale correlations were found between the MIQ-3 and Vividness of Movement Imagery Questionnaire-2, indicating relatedness between the questionnaires. Partially confirming our hypotheses, common and distinct brain activity provides initial biological validation for imagery abilities delineated in the MIQ-3: kinesthetic imagery activated motor-related areas, internal visual imagery activated inferior parietal lobule, and external visual imagery activated temporal, but no occipital areas. Lastly, inconsistent neuroanatomical intraindividual differences per condition were found. These findings relative to recent biological evidence of imagery abilities are highlighted.
18

Abraham, Amit, Ariel Hart, Isaac Andrade, and Madeleine E. Hackney. "Dynamic Neuro-Cognitive Imagery Improves Mental Imagery Ability, Disease Severity, and Motor and Cognitive Functions in People with Parkinson’s Disease." Neural Plasticity 2018 (2018): 1–15. http://dx.doi.org/10.1155/2018/6168507.

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People with Parkinson’s disease (PD) experience kinesthetic deficits, which affect motor and nonmotor functions, including mental imagery. Imagery training is a recommended, yet underresearched, approach in PD rehabilitation. Dynamic Neuro-Cognitive Imagery (DNI™) is a codified method for imagery training. Twenty subjects with idiopathic PD (Hoehn and Yahr stages I–III) were randomly allocated into DNI training (experimental;n=10) or in-home learning and exercise program (control;n=10). Both groups completed at least 16 hours of training within two weeks. DNI training focused on anatomical embodiment and kinesthetic awareness. Imagery abilities, disease severity, and motor and nonmotor functions were assessed pre- and postintervention. The DNI participants improved (p<.05) in mental imagery abilities, disease severity, and motor and spatial cognitive functions. Participants also reported improvements in balance, walking, mood, and coordination, and they were more physically active. Both groups strongly agreed they enjoyed their program and were more mentally active. DNI training is a promising rehabilitation method for improving imagery ability, disease severity, and motor and nonmotor functions in people with PD. This training might serve as a complementary PD therapeutic approach. Future studies should explore the effect of DNI on motor learning and control strategies.
19

Williams, Sarah E., Sam J. Cooley, and Jennifer Cumming. "Layered Stimulus Response Training Improves Motor Imagery Ability and Movement Execution." Journal of Sport and Exercise Psychology 35, no. 1 (February 2013): 60–71. http://dx.doi.org/10.1123/jsep.35.1.60.

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This study aimed to test Lang’s bioinformational theory by comparing the effects of layered stimulus and response training (LSRT) with imagery practice on improvements in imagery ability and performance of a motor skill (golf putting) in 24 novices (age, M = 20.13 years; SD = 1.65; 12 female) low in imagery ability. Participants were randomly assigned to a LSRT (introducing stimulus and response propositions to an image in a layered approach), motor imagery (MI) practice, or visual imagery (VI) practice group. Following baseline measures of MI ability and golf putting performance, the LSRT and MI practice groups imaged successfully performing the golf putting task 5 times each day for 4 days whereas the VI practice group imaged the ball rolling into the hole. Only the LSRT group experienced an improvement in kinesthetic MI ability, MI ability of more complex skills, and actual golf putting performance. Results support bioinformational theory by demonstrating that LSRT can facilitate visual and kinesthetic MI ability and reiterate the importance of imagery ability to ensure MI is an effective prime for movement execution.
20

Touche, Roy La. "Influence of the Generation of Motor Mental Images on Physiotherapy Treatment in Patients with Chronic Low Back Pain." Pain Physician 4;23, no. 7;4 (July 14, 2020): E399—E408. http://dx.doi.org/10.36076/ppj.2020/23/e399.

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generating kinesthetic and visual motor imagery. Objectives: The main aim of this study was to determine whether the ability to generate mental motor imagery (MIab) influences psychological, motor, and disability variables in patients with NCLBP. The secondary aim was to determine whether an approach based on therapeutic exercise (TE) and therapeutic education (TEd) could improve the MIab in those patients with less ability to perform it. Study Design: Cross-sectional and quasiexperimental study. Setting: Physical Therapy Unit of primary health care center in Madrid, Spain. Methods: A total of 68 patients were divided into 2 groups according to a greater (n = 34) or lesser (n = 34) MIab. Treatment was based on TEd and TE for the group with less ability to generate kinesthetic and visual motor imagery. The outcome measures were imagery requested time, self-efficacy, disability, pain intensity, lumbar strength, psychological variables, and MIab. Results: The group with lesser MIab showed lower levels of self-efficacy (P = 0.04; d, −0.47) and lower levels of lumbar strength and extension strength (P = 0.04; d, −0.46 and P = 0.02; d, −0.52, respectively). After the intervention with TE and TEd, MIab (both kinesthetic and visual) improved significantly, with a moderate to large effect size (P ≤ 0.01; d, −0.80 and P ≤ 0.01; d, −0.76, respectively), as did pain intensity, lumbar strength, disability, and psychological variables (P < 0.05), but not levels of self-efficacy (P > 0.05). Based on the results, the patients with NCLBP with lesser MIab achieved lower levels of self-efficacy and lower strength levels. Limitations: The results of this study should be interpreted with caution because of its quasiexperimental design and a bias selection. Conclusions: A clinical TE approach, coupled with a TEd program, resulted in significant improvement in MIab (both kinesthetic and visual), reduced pain intensity, increased lumbar strength, reduced disability, and improved psychological variables, but it did not significantly improve self-efficacy levels in the patients with NCLBP. Key words: Chronic low back pain, motor imagery, disability, lumbar strength
21

Lebon, Florent, Ulrike Horn, Martin Domin, and Martin Lotze. "Motor imagery training: Kinesthetic imagery strategy and inferior parietal f MRI activation." Human Brain Mapping 39, no. 4 (January 10, 2018): 1805–13. http://dx.doi.org/10.1002/hbm.23956.

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22

Stinear, Cathy M., Winston D. Byblow, Maarten Steyvers, Oron Levin, and Stephan P. Swinnen. "Kinesthetic, but not visual, motor imagery modulates corticomotor excitability." Experimental Brain Research 168, no. 1-2 (August 3, 2005): 157–64. http://dx.doi.org/10.1007/s00221-005-0078-y.

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23

Lyukmanov, R. Kh, O. A. Mokienko, G. A. Aziatskaya, N. A. Suponeva, and M. A. Piradov. "POST STROKE REHABILITATION: CLINICAL EFFICACY OF BCI-DRIVEN HAND EXOSKELETON IN COMPARISON WITH "AMADEO" ROBOTIC MECHANOTHERAPY." Physical and rehabilitation medicine, medical rehabilitation 1, no. 3 (September 15, 2019): 63–72. http://dx.doi.org/10.36425/2658-6843-2019-3-63-72.

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Motor function deficit due to stroke is one of the leading causes for disability among working-age population. The most effective evidence-based treatment strategies are task oriented exercise approaches including constrained-induced movement therapy. Robot-assisted training provides high amount of repetitions and feedback to patient. Adjuvant therapies such as mirror therapy and motor imagery show their effectiveness if used in combination with basic neurorehabilitation methods and are treatment of choice for patients with severe motor impairment. Brain-computer interfaces allow to control motor imagery as a process by giving different type of feedback (e.g. kinesthetic via exoskeleton) during training sessions. It is poorly known if kinesthetic motor imagery is more effective comparing to robot-assisted training as a part of post-stroke rehabilitation. Materials and methods: 55 patients with arm paresis >1 month after stroke were enrolled in the current study. Screening and randomization were performed. Participants underwent rehabilitation treatment where BCI controlled motor imagery training in main group and robot-assisted training in control group were included. Motor function of the paretic arm was assessed using Action Research Arm Test (ARAT) and Fugl-Meyer Assessment (FMA) before and after intervention. Results: Recovery of upper extremity motor function did not correlate with time since stroke and age of participants neither in main group, nor in control group. Correlations between change in motor scales scores and initial severity of motor deficit was shown in both groups (p
24

Demanboro, Alan, Annette Sterr, Sarah Monteiro dos Anjos, and Adriana Bastos Conforto. "A Brazilian-Portuguese version of the Kinesthetic and Visual Motor Imagery Questionnaire." Arquivos de Neuro-Psiquiatria 76, no. 1 (January 2018): 26–31. http://dx.doi.org/10.1590/0004-282x20170181.

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ABSTRACT Motor imagery has emerged as a potential rehabilitation tool in stroke. The goals of this study were: 1) to develop a translated and culturally-adapted Brazilian-Portugese version of the Kinesthetic and Visual Motor Imagery Questionnaire (KVIQ20-P); 2) to evaluate the psychometric characteristics of the scale in a group of patients with stroke and in an age-matched control group; 3) to compare the KVIQ20 performance between the two groups. Methods Test-retest, inter-rater reliabilities, and internal consistencies were evaluated in 40 patients with stroke and 31 healthy participants. Results In the stroke group, ICC confidence intervals showed excellent test-retest and inter-rater reliabilities. Cronbach’s alpha also indicated excellent internal consistency. Results for controls were comparable to those obtained in persons with stroke. Conclusions The excellent psychometric properties of the KVIQ20-P should be considered during the design of studies of motor imagery interventions for stroke rehabilitation.
25

Iwanami, Jun, Hitoshi Mutai, Akira Sagari, Masaaki Sato, and Masayoshi Kobayashi. "Relationship between Corticospinal Excitability While Gazing at the Mirror and Motor Imagery Ability." Brain Sciences 13, no. 3 (March 9, 2023): 463. http://dx.doi.org/10.3390/brainsci13030463.

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Mirror therapy (MT) helps stroke survivors recover motor function. Previous studies have reported that an individual’s motor imagery ability is related to the areas of brain activity during motor imagery and the effectiveness of motor imagery training. However, the relationship between MT and motor imagery ability and between corticospinal tract excitability during mirror gazing, an important component of MT, and motor imagery ability is unclear. This study determined whether the motor-evoked potential (MEP) amplitude while gazing at the mirror relates to participants’ motor imagery abilities. Twenty-four healthy right-handed adults (seven males) were recruited. Transcranial magnetic stimulation was performed while gazing at the mirror, and MEP of the first dorsal interosseous muscle of the right hand were measured. Motor imagery ability was measured using the Kinesthetic and Visual Imagery Questionnaire (KVIQ), which assesses the vividness of motor imagery ability. Additionally, a mental chronometry (MC) task was used to assess time aspects. The results showed a significant moderate correlation between changes in MEP amplitude values while gazing at the mirror, as compared with resting conditions, and assessment scores of KVIQ. This study shows that corticospinal excitability because of mirror gazing may be related to the vividness of motor imagery ability.
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Stecklow, Marcus Vinicius, Antonio Fernando Catelli Infantosi, and Maurício Cagy. "EEG changes during sequences of visual and kinesthetic motor imagery." Arquivos de Neuro-Psiquiatria 68, no. 4 (August 2010): 556–61. http://dx.doi.org/10.1590/s0004-282x2010000400015.

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The evoked cerebral electric response when sequences of complex motor imagery (MI) task are executed several times is still unclear. This work aims at investigating the existence of habituation in the cortical response, more specifically in the alpha band peak of parietal and occipital areas (10-20 international system electroencephalogram, EEG, protocol). The EEG signals were acquired during sequences of MI of volleyball spike movement in kinesthetic and visual modalities and also at control condition. Thirty right-handed male subjects (18 to 40 years) were assigned to either an 'athlete' or a 'non-athlete' group, both containing 15 volunteers. Paired Wilcoxon tests (with α=0.05) indicates that sequential MI of complex tasks promotes cortical changes, mainly in the power vicinity of the alpha peak. This finding is more pronounced along the initial trials and also for the athletes during the modality of kinesthetic motor imagery.
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Tumas, Vitor, and Americo C. Sakamoto. "A kinesthetic motor imagery study in patients with writer' cramp." Arquivos de Neuro-Psiquiatria 67, no. 2b (June 2009): 396–401. http://dx.doi.org/10.1590/s0004-282x2009000300005.

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The aim was to determine if patients with writer' cramp (WC) have abnormalities in kinesthetic motor imagery of hand movements. We timed the execution and simulation of a "finger tap task" and a "writing task" in 9 patients with simple WC and 9 matched healthy controls. In the "finger tap task, patients tended to be slower than controls to execute without vision (p=0.190) and to simulate the movements (p=0.094). In the "writing task", patients were slower than controls to execute writing with vision (p=0.0001) and without vision of the movements (p=0.0001) and to mentally simulate it (p=0.04). Patients were slower to execute writing than to simulate it (p=0.021) In general, there were not significant correlations between times of execution and simulation of both tasks. In conclusion, patients with WC seem to have slowing in the processes of mental simulation of hand movements that is not specific for writing.
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Grubov, Vadim, Artem Badarin, Nikolay Schukovsky, and Anton Kiselev. "Brain-computer interface for post-stroke rehabilitation." Cybernetics and Physics, Volume 8, 2019, Number 4 (December 30, 2019): 251–56. http://dx.doi.org/10.35470/2226-4116-2019-8-4-251-256.

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In the paper we proposed the approach for increasing of quality of neurorehabilitation of post-stroke patients based on wavelet analysis of EEG signals recoded during motor imagery. Also we proposed brain-computer interface based on the method. We determined all necessary procedures required to find motor imagery type (kinesthetic or visual) for each individual patient and described subsequent rehabilitation process. We tested developed brain-computer interface on 20 participants with post-stroke motor impairment. We believe that developed system can be used not only in laboratory experimental conditions, but also in clinical ones.
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Neuper, Christa, Reinhold Scherer, Miriam Reiner, and Gert Pfurtscheller. "Imagery of motor actions: Differential effects of kinesthetic and visual–motor mode of imagery in single-trial EEG." Cognitive Brain Research 25, no. 3 (December 2005): 668–77. http://dx.doi.org/10.1016/j.cogbrainres.2005.08.014.

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30

Tinaz, Sule, Serageldin Kamel, Sai S. Aravala, Mohamed Elfil, Ahmed Bayoumi, Amar Patel, Dustin Scheinost, Rajita Sinha, and Michelle Hampson. "Neurofeedback-guided kinesthetic motor imagery training in Parkinson’s disease: Randomized trial." NeuroImage: Clinical 34 (2022): 102980. http://dx.doi.org/10.1016/j.nicl.2022.102980.

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31

Orlandi, Andrea, Elisa Arno, and Alice Mado Proverbio. "The Effect of Expertise on Kinesthetic Motor Imagery of Complex Actions." Brain Topography 33, no. 2 (February 28, 2020): 238–54. http://dx.doi.org/10.1007/s10548-020-00760-x.

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32

Aoyama, Toshiyuki, Kazumichi Ae, Hiroto Soma, Kazuhiro Miyata, Kazuhiro Kajita, and Takashi Kawamura. "Motor imagery ability in baseball players with throwing yips." PLOS ONE 18, no. 11 (November 30, 2023): e0292632. http://dx.doi.org/10.1371/journal.pone.0292632.

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The motor imagery ability is closely related to an individual’s motor performance in sports. However, whether motor imagery ability is diminished in athletes with yips, in whom motor performance is impaired, is unclear. Therefore, this cross-sectional study aimed to determine whether general motor imagery ability or vividness of motor imagery specific to throwing motion is impaired in baseball players with throwing yips. The study enrolled 114 college baseball players. They were classified into three groups: 33 players in the yips group, 26 in the recovered group (previously had yips symptoms but had resolved them), and 55 in the control group. They answered the revised version of the vividness of movement imagery questionnaire (VMIQ-2), which assesses general motor imagery ability. Furthermore, they completed a questionnaire that assesses both positive and negative motor imagery vividness specific to baseball throwing. In the former, they responded to their ability to vividly imagine accurately throwing a controlled ball, whereas in the latter, they responded to the vividness of their experience of negative motor imagery associated with baseball throwing, specifically the image of a wild throw. No significant difference in the VMIQ-2 was found among the three groups. While no significant difference in the vividness of positive motor imagery for ball throwing was found in either first-person visual or kinesthetic perspectives among the three groups, the yips group exhibited significantly higher vividness of negative motor imagery than the control group in both perspectives. These results indicate that negative motor imagery specific to baseball throwing may be associated with symptoms of yips. Therefore, interventions addressing psychological aspects, such as anxiety, which are potential causes of the generation of negative motor imagery, may be necessary to alleviate the symptoms of yips.
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Chiew, Mark, Stephen M. LaConte, and Simon J. Graham. "Investigation of fMRI neurofeedback of differential primary motor cortex activity using kinesthetic motor imagery." NeuroImage 61, no. 1 (May 2012): 21–31. http://dx.doi.org/10.1016/j.neuroimage.2012.02.053.

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34

Mizuguchi, N., H. Nakata, and K. Kanosue. "Motor imagery beyond the motor repertoire: Activity in the primary visual cortex during kinesthetic motor imagery of difficult whole body movements." Neuroscience 315 (February 2016): 104–13. http://dx.doi.org/10.1016/j.neuroscience.2015.12.013.

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35

Dahm, Stephan Frederic. "On the Assessment of Motor Imagery Ability: A Research Commentary." Imagination, Cognition and Personality 39, no. 4 (March 20, 2019): 397–408. http://dx.doi.org/10.1177/0276236619836091.

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The present opinion questions the assessment of motor imagery (MI) ability with questionnaires, particularly for subjects with low MI ability. Strengths and limitations of implicit and explicit tests that can be associated to MI ability are highlighted. Creative solutions are claimed to handle the various dimensions of MI such as modality and perspective preferences. Although most of the proposed tasks promote visual MI, variations of the tasks may increase the kinesthetic aspects. Ideas and directions for future developments to assess MI ability are discussed.
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Malouin, Francine, Carol L. Richards, Anne Durand, Micheline Descent, Diane Poiré, Pierre Frémont, Stéphane Pelet, Jacques Gresset, and Julien Doyon. "Effects of Practice, Visual Loss, Limb Amputation, and Disuse on Motor Imagery Vividness." Neurorehabilitation and Neural Repair 23, no. 5 (January 30, 2009): 449–63. http://dx.doi.org/10.1177/1545968308328733.

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Background. The ability to generate vivid images of movements is variable across individuals and likely influenced by sensorimotor inputs. Objectives. The authors examined (1) the vividness of motor imagery in dancers and in persons with late blindness, with amputation or an immobilization of one lower limb; (2) the effects of prosthesis use on motor imagery; and (3) the temporal characteristics of motor imagery. Methods. Eleven dancers, 10 persons with late blindness, 14 with amputation, 6 with immobilization, and 2 groups of age-matched healthy individuals (27 in control group A; 35 in control group B) participated. The Kinesthetic and Visual Imagery Questionnaire served to assess motor imagery vividness. Temporal characteristics were assessed with mental chronometry. Results. The late blindness group and dance group displayed higher imagery scores than respective control groups. In the amputation and immobilization groups, imagery scores were lower on the affected side than the intact side and specifically for imagined foot movements. Imagery scores of the affected limb positively correlated with the time since walking with prosthesis. Movement times during imagination and execution (amputation and immobilization) were longer on the affected side than the intact side, but the temporal congruence between real and imagined movement times was similar to that in the control group. Conclusions. The mental representation of actions is highly modulated by imagery practice and motor activities. The ability to generate vivid images of movements can be specifically weakened by limb loss or disuse, but lack of movement does not affect the temporal characteristics of motor imagery.
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Chholak, Parth, Alexander N. Pisarchik, Semen A. Kurkin, Vladimir A. Maksimenko, and Alexander E. Hramov. "Neuronal pathway and signal modulation for motor communication." Cybernetics and Physics, Volume 8, 2019, Number 3 (November 30, 2019): 106–13. http://dx.doi.org/10.35470/2226-4116-2019-8-3-106-113.

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The knowledge of the mechanisms of motor imagery (MI) is very important for the development of braincomputer interfaces. Depending on neurophysiological cortical activity, MI can be divided into two categories: visual imagery (VI) and kinesthetic imagery (KI). Our magnetoencephalography (MEG) experiments with ten untrained subjects provided evidences that inhibitory control plays a dominant role in KI. We found that communication between inferior parietal cortex and frontal cortex is realised in the mu-frequency range. We also pinpointed three gamma frequencies to be used for motor command communication. The use of artificial intelligence allowed us to classify MI of left and right hands with maximal classification accuracy using the brain activity encoded in the identified gamma frequencies which were then proposed to be used for communication of specifics. Mu-activity was identified as the carrier of gamma-activity between these areas by means of phase-amplitude coupling similar to the modern day radio wave transmission.
38

Guillot, A., C. Collet, and A. Dittmar. "Relationship Between Visual and Kinesthetic Imagery, Field Dependence-Independence, and Complex Motor Skills." Journal of Psychophysiology 18, no. 4 (January 2004): 190–98. http://dx.doi.org/10.1027/0269-8803.18.4.190.

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Abstract: Visual imagery (VI) involves self-visualization of action, whereas kinesthetic imagery (KI) implies somesthetic sensations elicited by action. Motor imagery (MI) has been shown to enhance motor performance but inconsistent results were obtained depending on the respective impacts of VI and KI. It is hypothesized here that the type of MI may interact with individual characteristics such as field dependence-independence. As subjects' movements can be mainly checked out through exteroceptive or proprioceptive information, task requirements were also expected to influence MI. Witkin's Group Embedded Figures Test was implemented with two groups (n1 = 10 gymnasts, n2 = 10 tennis players). Athletes were asked to imagine a complex motor skill by alternate use of VI and KI. Skin resistance was selected as a peripheral indicator of MI and recorded continuously. Autonomic responses were compared by computing the VI/KI ratio. Results taking both the field-dependence test and MI type into account were not as clear as expected. As hypothesized, gymnasts were more field-independent than tennis players. VI/KI ratio analysis showed that a similar pattern was observed in the gymnasts group (ratio close to 1.0), whatever the type of imagery. This suggests that gymnasts are equally able to perform VI and KI. Fifty percent of the tennis players group showed a ratio higher than 1.0, suggesting that VI was more effective than KI. Conversely, the remaining 50% showed a below-1.0 ratio, suggesting more effective KI. Thus, some tennis players may make better use of VI than KI, and conversely some may make better use of KI than VI. These results indicate that MI training may be relatively independent of task requirements and be based mainly upon individual characteristics such as MI abilities. Finally, results indicate systematic overestimation in self-estimation of movement duration during MI, which was greater during KI than during VI, suggesting that athletes have greater trouble in feeling than in visualizing movement.
39

Chen, Ya-Ting, Kuo-Su Tsou, Hao-Ling Chen, Ching-Ching Wong, Yang-Teng Fan, and Chien-Te Wu. "Functional but Inefficient Kinesthetic Motor Imagery in Adolescents with Autism Spectrum Disorder." Journal of Autism and Developmental Disorders 48, no. 3 (November 8, 2017): 784–95. http://dx.doi.org/10.1007/s10803-017-3367-y.

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40

Sakurada, Takeshi, Ayaka Horiuchi, and Takashi Komeda. "Sensorimotor Activities and Their Functional Connectivity Elicited by Robot-Assisted Passive Movements of Lower Limbs." Journal of Robotics and Mechatronics 34, no. 4 (August 20, 2022): 777–85. http://dx.doi.org/10.20965/jrm.2022.p0777.

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Robot-assisted body movements are a useful approach for the rehabilitation of motor dysfunction. Various robots based on end-effector or exoskeleton type have been proposed. However, the effect of these robots on brain activity during assistive lower limb movements remains unclear. In this study, we evaluated brain activity results among robot-assisted passive movements, voluntary active movements, and kinesthetic motor imagery. We measured and compared the brain activities of 21 young, healthy individuals during three experimental conditions associated with lower limb movements (active, passive, and imagery conditions) using functional near-infrared spectroscopy (fNIRS). Our results showed that although different brain areas with significant activity were observed among the conditions, the temporal patterns of the activity in each recording channel and the spatial patterns of functional connectivity showed high similarity between robot-assisted passive movements and voluntary active movements. Conversely, the robot-assisted passive movements did not show any similarity to motor imagery. Overall, these findings suggest that the robotic assistive approach is useful for activating not only afferent processes associated with sensory feedback processing but also motor control-related efferent processes.
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Forgaard, Christopher J., Ian M. Franks, Dana Maslovat, and Romeo Chua. "Influence of kinesthetic motor imagery and effector specificity on the long-latency stretch response." Journal of Neurophysiology 122, no. 5 (November 1, 2019): 2187–200. http://dx.doi.org/10.1152/jn.00159.2019.

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The long-latency “reflexive” response (LLR) following an upper limb mechanical perturbation is generated by neural circuitry shared with voluntary control. This feedback response supports many task-dependent behaviors and permits the expression of goal-directed corrections at latencies shorter than voluntary reaction time. An extensive body of literature has demonstrated that the LLR shows flexibility akin to voluntary control, but it has not yet been tested whether instruction-dependent LLR changes can also occur in the absence of an overt voluntary response. The present study used kinesthetic motor imagery ( experiment 1) and instructed participants to execute movement with the unperturbed contralateral limb ( experiment 2) to explore the relationship between the overt production of a voluntary response and LLR facilitation. Activity in stretched right wrist flexors were compared with standard “do not-intervene” and “compensate” conditions. Our findings revealed that on ~40% of imagery and ~50% of contralateral trials, a response occurred during the voluntary epoch in the stretched right wrist flexors. On these “leaked” trials, the early portion of the LLR (R2) was facilitated and displayed a similar increase to compensate trials. The latter half of the LLR (R3) showed further modulation, mirroring the patterns of voluntary epoch activity. By contrast, the LLR on “non-leaked” imagery and contralateral trials did not modulate. We suggest that even though a hastened voluntary response cannot account for all instruction-dependent LLR modulation, the overt execution of a response during the voluntary epoch in the same muscle(s) as the LLR is a prerequisite for instruction-dependent facilitation of this feedback response. NEW & NOTEWORTHY Using motor imagery and contralateral responses, we provide novel evidence that facilitation of the long-latency reflex (LLR) requires the execution of a response during the voluntary epoch. A high proportion of overt response “leaks” were found where the mentally simulated or mirrored response appeared in stretched muscle. The first half of the LLR was categorically sensitive to the appearance of leaks, whereas the latter half displayed characteristics closely resembling activity in the ensuing voluntary period.
42

Ridderinkhof, K. Richard, and Marcel Brass. "How Kinesthetic Motor Imagery works: A predictive-processing theory of visualization in sports and motor expertise." Journal of Physiology-Paris 109, no. 1-3 (February 2015): 53–63. http://dx.doi.org/10.1016/j.jphysparis.2015.02.003.

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43

Baiano, Chiara, Isa Zappullo, Roberta Cecere, Gennaro Raimo, and Massimiliano Conson. "Visual and kinesthetic motor imagery in adults with different degrees of self-reported motor coordination difficulties." Human Movement Science 91 (October 2023): 103137. http://dx.doi.org/10.1016/j.humov.2023.103137.

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44

Jongsma, Marijtje L. A., Ruud G. J. Meulenbroek, Judith Okely, C. Marjolein Baas, Rob H. J. van der Lubbe, and Bert Steenbergen. "Effects of Hand Orientation on Motor Imagery - Event Related Potentials Suggest Kinesthetic Motor Imagery to Solve the Hand Laterality Judgment Task." PLoS ONE 8, no. 9 (September 27, 2013): e76515. http://dx.doi.org/10.1371/journal.pone.0076515.

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45

Y.*, Hashimoto, Ushiba J., Kimura A., Liu M., and Tomita Y. "Correlation between EEG–EMG coherence during isometric contraction and its imaginary execution." Acta Neurobiologiae Experimentalis 70, no. 1 (March 31, 2010): 76–85. http://dx.doi.org/10.55782/ane-2010-1776.

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To assess the similarity between cortical activities observed during actual and imaginary motor tasks, we evaluated electroencephalography–electromyography (EEG–EMG) coherence during motor task execution (ME) and the same taskrelated EEG power increase (TRPI) during kinesthetic motor imagery (MI). EEGs recorded at the vertex and EMGs recorded at the right tibialis anterior muscle (TA) were analyzed in 13 healthy subjects. Subjects were requested to perform: (1) isometric TA contraction, (2) imagery of the same movement without overt motor behavior, and (3) rest without MI. The results show significant EEG–EMG coherence during ME, as well as TRPI during both ME and MI tasks within a similar 14–30 Hz band. The magnitude of EEG–EMG coherence and TRPI varied among the subjects. Intersubject analysis revealed a significant correlation between EEG–EMG coherence and TRPI. These results support the hypothesis that ME and MI tasks involve overlapping neural networks in the perirolandic cortical areas.
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Souza, Nélio Silva de, Ana Carolina Gomes Martins, Karoline Mello de Assis, Lúcia Brandão de Oliveira, Rosiane Fátima Silveira de Abreu, Marco Antônio Araújo-Leite, Marco Antônio Orsini Neves, et al. "Study of the effects of kinesthetic motor imagery in patients with heart failure." Revista da Associação Médica Brasileira 67, no. 5 (June 2021): 661–66. http://dx.doi.org/10.1590/1806-9282.20200846.

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47

Shibata, E., and F. Kaneko. "Differences between afferent inputs from antagonistic muscles affect kinesthetic perception during motor imagery." Physiotherapy 101 (May 2015): e1382-e1383. http://dx.doi.org/10.1016/j.physio.2015.03.1326.

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48

Mehler, David M. A., Angharad N. Williams, Florian Krause, Michael Lührs, Richard G. Wise, Duncan L. Turner, David E. J. Linden, and Joseph R. Whittaker. "The BOLD response in primary motor cortex and supplementary motor area during kinesthetic motor imagery based graded fMRI neurofeedback." NeuroImage 184 (January 2019): 36–44. http://dx.doi.org/10.1016/j.neuroimage.2018.09.007.

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49

Pounder, Zoë, Alison F. Eardley, Catherine Loveday, and Samuel Evans. "No clear evidence of a difference between individuals who self-report an absence of auditory imagery and typical imagers on auditory imagery tasks." PLOS ONE 19, no. 4 (April 3, 2024): e0300219. http://dx.doi.org/10.1371/journal.pone.0300219.

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Aphantasia is characterised by the inability to create mental images in one’s mind. Studies investigating impairments in imagery typically focus on the visual domain. However, it is possible to generate many different forms of imagery including imagined auditory, kinesthetic, tactile, motor, taste and other experiences. Recent studies show that individuals with aphantasia report a lack of imagery in modalities, other than vision, including audition. However, to date, no research has examined whether these reductions in self-reported auditory imagery are associated with decrements in tasks that require auditory imagery. Understanding the extent to which visual and auditory imagery deficits co-occur can help to better characterise the core deficits of aphantasia and provide an alternative perspective on theoretical debates on the extent to which imagery draws on modality-specific or modality-general processes. In the current study, individuals that self-identified as being aphantasic and matched control participants with typical imagery performed two tasks: a musical pitch-based imagery and voice-based categorisation task. The majority of participants with aphantasia self-reported significant deficits in both auditory and visual imagery. However, we did not find a concomitant decrease in performance on tasks which require auditory imagery, either in the full sample or only when considering those participants that reported significant deficits in both domains. These findings are discussed in relation to the mechanisms that might obscure observation of imagery deficits in auditory imagery tasks in people that report reduced auditory imagery.
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Crotti, Monica, Karl Koschutnig, and Selina Christin Wriessnegger. "Handedness impacts the neural correlates of kinesthetic motor imagery and execution: A FMRI study." Journal of Neuroscience Research 100, no. 3 (January 3, 2022): 798–826. http://dx.doi.org/10.1002/jnr.25003.

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