View clinical trials related to Motor Imagery.
Filter by:Seminal studies in motor neuroscience involving healthy subjects have revealed time-locked changes in induced power within specific frequency bands. Brain recordings were shown to exhibit a gradual reduction in signal power, relative to baseline, in the mu and beta frequency bands during an action or during motor imagery: the event-related desynchronization (ERD). This is considered to reflect processes related to movement preparation and execution and is particularly pronounced in the contralateral sensorimotor cortex. Shortly following the completion of the task, a relative increase in power, the event-related synchronization (ERS), could be observed in the beta band. ERS is thought to reflect the re-establishment of inhibition in the same area. Ever since the characterization of the ERD and ERS phenomena, there has been little to no discussion in the field of non-invasive Brain Computer Interfaces (BCI) as to whether these features accurately capture the task-related modulations of brain activity. Recent studies in neurophysiology have demonstrated that the ERD and ERS patterns only emerge as a result of averaging signal power over multiple trials. On a single trial level, beta band activity occurs in short, transient events, bursts, rather than as sustained oscillations. This indicates that the ERD and ERS patterns reflect accumulated, time-varying changes in the burst probability during each trial. Thus, beta bursts may carry more behaviourally relevant information than averaged beta band power. Studies in humans involving arm movements have established a link between the timing of sensorimotor beta bursts and response times before movement, as well as behavioural errors post-movement. Beta burst activity in frontal areas has also been shown to correlate with movement cancellation and recent studies show that activity at the motor unit level also occurs in a transient manner, which is time-locked to sensorimotor beta bursts. Although beta burst rate has been shown to carry significant information, it still comprises a rather simplistic representation of the underlying activity. Indeed, complex burst waveforms are embedded in the raw signals, and can be characterized by a stereotypical average shape with large variability around it. The waveform features are neglected in standard BCI approaches, because conventional signal processing methods generally presuppose sustained, oscillatory and stationary signals, and are thus inherently unsuitable for analysing transient activity. In contrast to beta, activity in the mu frequency band is oscillatory even in single trials. This activity is typically analysed using time-frequency decomposition techniques, which assume that the underlying signal is sinusoidal. However, there is now growing consensus that oscillatory neural activity is often non-sinusoidal and that the raw waveform shape can be informative of movement. In this project, the design of a subject-specific neurophysiological model to guide motor BCI training will be optimized using Magnetic Resonance Imaging (MRI) and Magnetoencephalography (MEG) for high spatial and biophysical specificity in the experimental group. Anatomical MR volumes will be used to design and 3D-print an individual head cast that will be used in the MEG scanner to stabilize the head position and minimize movements. This high-precision approach (hpMEG) has been proven to significantly improve source localization up to the level of distinguishing laminar activity, which makes it superior to EEG recording technique. An individualized hpMEG approach, as well as the widely adopted EEG, will be used to study bursts of oscillatory activity in the beta and mu frequency bands related to motor imagery and motor execution. hpMEG will yield subject-specific models of motor imagery that will be used to constrain online decoding of EEG data. This approach will be applied and validated on a group of healthy adult subjects and will then be compared against another feasibility group of patients and age-matched healthy participants. The proposed approach will be compared with a classic EEG-based BCI approach. The information will be used to optimally guide subsequent EEG-based BCI training in the control group. After a thorough investigation in healthy subjects in this project, the feasibility of the approach will be evaluated in a few stroke patients with upper-limb motor deficits. Tasks 1.1 and 1.2 aim to develop subject-specific generative models decoding movement onset and offset, the type of movement, as well as finely discretized movement amplitude during both real and imagined wrist extensions/flexions. Task 1.2 investigates how lesions of patients alter our ability to decode attempted wrist movements.
In the study, movement observation training, Modified Graded Motor Imaging Training, which includes upper extremity functional exercises, and Graded Motor Imaging Training, where the standard protocol is applied, will be used in stroke patients to improve their upper extremity motor functions and daily lives. It is aimed to present it on an evidence-based basis by investigating its effects on Daily Living Activity, quality of life, upper extremity-specific right/left lateralization performance, mental stopwatch performance and motor imagery skills.
The study aimed to investigate the effects of early sleep after action observation and motor imagery (AOMI) training sessions on manual dexterity in patients with hand immobilization after surgical fixation for metacarpals and phalanges fractures. Fifty-one patients with hand immobilization for surgical fixation of IV or V metacarpals or first phalanges fractures will be randomized into AOMI-sleep (n=17), AOMI-control (n=17), and Control (n=17) group. AOMI-sleep and AOMI-control groups will perform an AOMI-training before sleeping or in the morning respectively, while Control group will be asked to observe landscape video-clips. Participants will be assessed for manual dexterity, hand range of motion, hand disability and quality of life at baseline before and after the training and at 1 month after the training end.
The aim of this investigation is to measure if additional pedagogical techniques (Action Observation and Motor Imagery) improve student's ability to identify anatomical structures compared to traditional teaching techniques.
Objective: The aim of this study is to investigate the effect of motor imagery on muscle activity, pain, and function in arthroscopic rotator cuff repair. Methods: As a result of the power analysis (G-Power), 36 participants are planned to be included in this study Block randomization will be used to divide participants into 2 groups, each with at least 18 participants: Group 1 (MI group) and Group 2 (Control group) (Randomizer.org). Both groups will receive a 4-week physical therapy program. MI (Motor Imagination) group will receive a motor imagination program in addition to the physical therapy program. Data will collect using the visual analog scale (VAS), goniometric measurement, circumference measurement, Disabilities of the Arm, Shoulder, and Hand Questionnaire (DASH), Kinesthetic and Visual Imagery Questionnaire- KVIQ-20, Tampa Kinesiophobia Scale, 3-question satisfaction questionnaire, superficial Electromyography (EMG) (BTS Bioengineering Free EMG 100 RT). Practice Implications: The current study will contribute to understanding how motor imagination affects muscle activity and muscle atrophy.
The principal aim of this study was to asses the effects of motor imagery and action observation training on ventilatory and functional capacity through a randomized controlled trial.