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Motor Imagery

Tundra lists 8 Motor Imagery clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

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RECRUITING

NCT07369193

Immersive AOT: Multisensory Stimulation and Neurophysiological Correlates in Children With Cerebral Palsy and Typical Development - A Pilot Study

The discovery of the Mirror Neuron System (MNS) has promoted the development of rehabilitation techniques such as Action Observation Treatment (AOT) and Motor Imagery (MI). These are based on the principle that neural circuits active during execution, also activate during the observation or imagination of movements. These techniques have been found to be effective in several clinical populations including children with Cerebral Palsy (CP), the most common childhood-onset motor disorder. We hypothesize that a multimodal version of AOT, integrating not only visual stimuli (standard practice) but also auditory and tactile stimuli, could further enhance the activation of the MNS. In fact, everyday actions naturally involve multiple sensory channels, and evidence indicate that audio-visual action observation activates the MNS more intensely than visual stimuli alone, thus offering a potential improvement for CP rehabilitation. The primary aim of this observational pilot study, conducted at IRCCS Fondazione Stella Maris, is to verify whether a multisensory (=immersive) AO session - combining visual, auditory, and tactile stimuli - produces greater activation of the MNS, than a traditional session (visual AO alone). Neural correlates will be measured through high-density Electroencephalography (hdEEG), with a specific focus on the modulation of the sensorimotor mu rhythm. Twenty children and adolescents with CP, aged 7-25 years, and 20 typically developing (TD) aged-matched peers will be recruited in the study. The study also aims to assess the level of participants' attention during stimuli presentation through eye tracking, and to verify whether immersive AO can influence MI abilities, measured through specific tasks and questionnaires (i.e., Motor Imagery Questionnaire for Children (MIQ-C, aged 7-12) and the Motor Imagery Questionnaire - 3 (MIQ-3) for adolescent). In an initial phase of the study both questionnaires will be the validated in a separate sample of 120 TD Italian children and 120 Italian adolescents or adults. The absence of intellectual disability will be assessed using the age-appropriate version of Raven's Progressive Matrices test. Each participant will undergo two EEG sessions: the immersive session will consist of watching first-person videos accompanied by auditory stimuli consistent with the action and tactile stimuli provided by TouchDIVER Pro haptic gloves (Weart, CE-marked device), suitably adapted for the paediatric population. The traditional session will consist of watching videos without sounds or any tactile additional stimulus. The two sessions will be performed in a in random order. In both sessions, after the observation phase, participants will be asked to perform or imagine the same actions presented in the videos. During observation, eye movements and gaze behavior will be monitored using an eye tracking system. Throughout each session, cortical activity will be recorded using a 128-channel hdEEG net. The sessions will be video-recorded to accurately monitor participants motor behavior, response times, and compliance with the protocol. At the end of each EEG session, participants will be administered the MIQ-C or MIQ-3 questionnaire and a short task to assess MI abilities. In this task, participants will watch some of the videos previously used during the EEG session and will then be asked to imagine the same action. In this case, their imagery will be interrupted at specific time points, and they will be asked to select, from two images, the moment of the action corresponding to the point at which they were interrupted. Data analysis will examine within- and between-groups differences for the immersive AO vs the traditional AO. Correlation analysis will be also performed between neurophysiological data, attentional data, questionnaires, MI responses and standardized clinical assessments ( for the CP group), in order to understand how the participants' motor and cognitive abilities influence the activation of the circuits involved in the experimental tasks.

Gender: All

Ages: 7 Years - 25 Years

Updated: 2026-04-02

1 state

Cerebral Palsy (CP)
CP (Cerebral Palsy)
Motor Imagery
+1
RECRUITING

NCT06469463

Decoding Motor Imagery From Non-invasive Brain Recordings as a Prerequisite for Innovative Motor Rehabilitation Therapies

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.

Gender: All

Ages: 18 Years - Any

Updated: 2026-03-19

Stroke Sequelae
Motor Imagery
Upper Limb Deficit
RECRUITING

NCT07193303

Mental Imagery on Upper Extremity Skills

Parkinson's disease (PD) is the second most common neurodegenerative disease, characterized pathologically by the progressive loss of dopaminergic neurons in the substantia nigra and clinically by the presence of motor symptoms such as bradykinesia, resting tremor, and/or rigidity. Among the motor deficits frequently observed in PD, patients are known to frequently report difficulties with manual dexterity. Many upper extremity and manual dexterity deficits are present in PD. Motor imagery (MI) is the imaginal execution of motor activities or the activation of specific muscles in the absence of any explicit feedback. This area of rehabilitation has been shown to be effective in improving and developing motor skills in many neurological conditions where patients exhibit motor recognition and execution impairments. MI can be applied at all stages of recovery from PD, is highly effective in movement-related pathologies, and can be performed independently.There is sufficient evidence that MI improves motor performance and learning in individuals with neurological disorders such as multiple sclerosis, stroke, and spinal cord injury. The study was designed to investigate the immediate effects of mental imagery, which is thought to be effective in controlling difficulties in planning and initiating movements in PD, on upper extremity skills. Therefore, the aim of this study was to determine the effect of mental imagery on upper extremity skills in PD.

Gender: All

Ages: 40 Years - 75 Years

Updated: 2025-12-19

1 state

PARKINSON DISEASE (Disorder)
Mental Imagery
Motor Imagery
RECRUITING

NCT07009080

The Effect of Motor Imagery on Preventing Volleyball Players During Jumping and Landing

Although the effectiveness of motor imagery in improving performance in sports is known, there is no research on its preventive role against injuries. the primary aim of this study is to investigate the effect of motor imagery on improving risk factors related to jumps and falls in volleyball players. The secondary aim of this study is to investigate the effect of motor imagery on cortical functions.

Gender: All

Ages: 15 Years - 25 Years

Updated: 2025-09-03

1 state

Motor Imagery
RECRUITING

NCT07106060

Near-Infrared Imaging of Motor Imagery Effects in Spinal Cord Injury

The primary objective of this clinical trial is to investigate the efficacy of motor imagery-based brain-computer interface (MI-BCI) technology in improving motor function among patients with spinal cord injury (SCI), as well as its impact on cortical motor area function across varying states. To achieve this, the study will implement MI-BCI intervention in SCI patients, evaluate post-treatment motor function improvements, and assess changes in cortical motor area oxygen metabolism (via functional near-infrared spectroscopy, fNIRS) and neural activity (via electroencephalography, EEG). The ultimate goal is to establish a novel rehabilitation strategy for SCI. Specifically, the trial aims to: (1) determine whether MI-BCI effectively enhances motor function in SCI patients; and (2) clarify the differential effects of MI-BCI on cortical motor area function under distinct states (e.g., resting vs. task-performing) in this population. Participants will be randomly assigned to one of two groups: the experimental group will undergo MI-BCI training, while the control group will receive active cycling training (as a conventional rehabilitation control). Both interventions will be structured as 20-minute sessions, administered 5 days per week, over a total of 4 weeks.Pre- and post-treatment assessments will include: lower limb motor function (measured by the Lower Limb Motor Score), activities of daily living (evaluated via the Modified Barthel Index), walking capacity (quantified using the Spinal Cord Injury Walking Index), and cortical motor activity (captured through fNIRS and EEG measurements).

Gender: All

Ages: 18 Years - 75 Years

Updated: 2025-08-06

1 state

SCI - Spinal Cord Injury
Motor Imagery
Brain-Computer Interfaces
RECRUITING

NCT06946082

The Effect of Upper Extremity Motor Function, Trunk Control and Motor Imagery Ability on Turkish Language Skills in Individuals With Stroke

A large number of people have a stroke each year and it is a major cause of disability worldwide. Upper limb motor impairments, aphasia, body control problems and decreased motor imagery ability are common after stroke. Although there are studies showing that these impairments may be related to each other, there is no comprehensive study examining the relationship between Turkish language skills and these motor functions. The aim of this study was to evaluate the relationship between Turkish language skills and upper extremity motor function, trunk control and motor imagery ability in stroke patients.

Gender: All

Ages: 18 Years - Any

Updated: 2025-04-27

Hemiplegia
Aphasia
Stroke
+3
RECRUITING

NCT06676332

Effect of Multisensory Motor Imagery Training on Muscle Performance and Coordination in Children With Spastic Diplegia

PURPOSE: The current study aims to: * Determine the effect of multisensory motor imagery training on muscle performance including (peak torque, work, power) of trunk and knee flexors and extensors in children with spastic diplegia. * Determine the effect of multisensory motor imagery training on coordination, strength and agility in children with spastic diplegia. BACKGROUND: Multisensory motor imagery training has an effect on muscle performance and coordination in children with spastic diplegia HYPOTHESES: There will be no effect of multisensory motor imagery training on muscle performance, coordination and strength and agility in children with spastic diplegic CP. RESEARCH QUESTION: Is there an effect of multisensory motor imagery training on coordination, strength and agility in children with spastic diplegia?

Gender: All

Ages: 8 Years - 12 Years

Updated: 2025-02-18

Spastic Diplegia
Motor Imagery
NOT YET RECRUITING

NCT06708026

Evaluation of a Home-based AOMI Intervention on Cognitive Function and Depression Among Adults with SCI

The investigators propose a pilot randomized clinical trial to determine if adults with spinal cord injury (SCI) show improved cognitive function and depression following home-based Action Observation and Motor Imagery (AOMI) training. It is hypothesized that the home-based AOMI intervention will show satisfactory feasibility and acceptability. They also hypothesize that AOMI training can be used as a rehabilitative tool for improving cognitive function and depression in adults with SCI, because it engages and strengthens similar neural systems as actual exercise.

Gender: All

Ages: 18 Years - Any

Updated: 2025-02-06

1 state

Spinal Cord Injuries (SCI)
Depression
Motor Imagery
+1