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NCT Number: NCT07137624

Motor Imagery and Action Observation for Gait Function in MS

This study will investigate whether mentally simulating walking movements while watching others walk can improve walking performance in individuals with Multiple Sclerosis (MS). Participants will be divided into two groups: one group will watch walking videos and imagine themselves walking, while the other group will watch nature scenes. The study will measure muscle activity and walking patterns to assess the effects. The results may help support the use of mental practice techniques to improve mobility in people with MS.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Hacettepe University, Faculty of Physical Therapy and Rehabilitation

Ankara, Turkey (Türkiye)

Location status: Recruiting

Location contact

Yeliz Salcı, Assoc. Prof.

CONTACT

[email protected]

03123243847

About this study

This study aims to explore the impact of mental simulation of walking movements on walking performance in individuals with Multiple Sclerosis (MS). The participants will be randomly assigned to two groups: the experimental group will watch walking-related videos and engage in mental imagery exercises, imagining themselves walking, while the control group will watch nature scenes without any walking-related content.

Objectives:

To determine whether mental imagery can enhance walking ability and gait parameters in individuals with MS.

To measure the effect of mental simulation on muscle activity and walking patterns, including stride length, walking speed, and balance.

Study Procedure:

The study will consist of multiple sessions, where participants will first undergo baseline assessments of walking ability. Following this, they will engage in either the walking video and imagery task (experimental group) or the nature video viewing task (control group) for a predetermined period of time. Measurements of muscle activity using electromyography (EMG) and walking patterns will be recorded before and after the intervention.

Potential Impact:

The results from this study may provide insights into the use of mental practice techniques as a non-invasive intervention to improve mobility in individuals with MS, a population often affected by walking difficulties. Mental imagery could serve as an adjunct therapy to traditional physical rehabilitation methods.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • A confirmed diagnosis of multiple sclerosis (MS) by a neurologist
  • No history of relapse within the past 3 months and not currently experiencing a relapse
  • A score of 24 or higher on the standardized Mini Mental State Examination

Exclusion criteria

  • Presence of serious health conditions affecting the muscles, heart, lungs, or metabolism that could interfere with participation
  • History of other neurological disorders, head injury, or chronic psychiatric conditions
  • Chronic pain lasting longer than six months
  • Significant muscle stiffness in the legs that may affect EMG recordings
  • Hearing difficulties
  • Vision problems as determined by the Snellen visual acuity test

Treatment and study plan

Action Observation + Motor Imagery

Behavioral

Participants will watch videos showing walking actions and will be instructed to mentally simulate the movement.

Nature Video

Behavioral

Participants will watch a video of nature scenes.

Primary outcomes

  1. Change in Tibialis Anterior and Gastrocnemius Medialis Muscle Activity Amplitude

    Time frame: Before and immediately after the intervention

    Change in muscle activity amplitude (microvolts, µV) of tibialis anterior and gastrocnemius medialis during gait initiation measured by surface EMG.

  2. Change in Tibialis Anterior and Gastrocnemius Medialis Muscle Activity Onset Latency

    Time frame: Before and immediately after the intervention.

    Change in onset latency (milliseconds, ms) of tibialis anterior and gastrocnemius medialis muscle activation during gait initiation measured by surface EMG.

  3. Change in Step Length

    Time frame: Before and immediately after the intervention

    Change in step length (centimeters, cm) during gait initiation measured by the GAITRite system.

  4. Change in Step Time

    Time frame: Before and immediately after the intervention

    Change in step time (seconds, s) during gait initiation measured by the GAITRite system.

  5. Change in Step Width

    Time frame: Before and immediately after the intervention

    Change in step width (centimeters, cm) during gait initiation measured by the GAITRite system.

  6. Change in Double Support Period

    Time frame: Before and immediately after the intervention

    Change in double support period (percentage of gait cycle, %) during gait initiation measured by the GAITRite system.

  7. Change in Gait Velocity

    Time frame: Before and immediately after the intervention

    Change in gait velocity (centimeters per second, cm/s) during gait initiation measured by the GAITRite system.

  8. Change in Cadence

    Time frame: Before and immediately after the intervention

    Change in cadence (steps per minute, steps/min) during gait initiation measured by the GAITRite system.

Secondary outcomes

  1. Motor Imagery Vividness

    Time frame: Baseline only

    Kinesthetic and visual imagery vividness will be assessed using the Kinesthetic and Visual Imagery Questionnaire-20 (KVIQ-20), which includes 10 visual and 10 kinesthetic items (20 total). Each item is rated on a 5-point Likert scale (1 = no image/sensation, 5 = vivid image/sensation). Higher scores indicate better imagery ability.

  2. Mental Chronometry Ratio

    Time frame: Baseline only

    The ratio between imagined and actual Timed Up and Go (TUG) performance time (both measured in seconds, s) will be calculated. During imagined trials, participants will press a button to mark the start and end of the imagined movement sequence. A ratio closer to 1 indicates better temporal congruence between imagined (iTUG) and executed TUG performance.

  3. Limb Laterality Recognition Performance

    Time frame: Baseline only

    Right-left discrimination ability will be evaluated using the Recognise Foot App™ developed by the NOI Group™. Both accuracy (percentage of correct responses, %) and response time (milliseconds, ms) will be recorded.

  4. Cognitive Status

    Time frame: Baseline only

    General cognitive functioning will be screened using the Standardized Mini-Mental State Examination (SMMSE). The test is scored on a 30-point scale (0-30). Scores ≥24 indicate normal cognitive functioning.

  5. Fatigue Level

    Time frame: Baseline only

    Fatigue severity specific to MS will be measured with the Fatigue Severity Scale (FSS). The FSS consists of 9 items rated on a 7-point Likert scale (1 = strongly disagree; 7 = strongly agree). The final score is calculated as the mean of all items (range: 1-7), with higher scores indicating greater fatigue severity.

  6. Anxiety and Depression

    Time frame: Baseline only

    Emotional state will be assessed using the Hospital Anxiety and Depression Scale (HADS). The scale consists of 14 items divided into two subscales: anxiety (7 items) and depression (7 items). Each item is scored from 0 to 3, yielding subscale scores ranging from 0 to 21. Higher scores indicate greater levels of anxiety or depression.

  7. Disability Level

    Time frame: Baseline only

    Expanded Disability Status Scale (EDSS) scoring will be performed using the standardized Neurostatus-EDSS format. This scale evaluates functional systems such as motor ability, balance, vision, and sensory function to quantify disability level in individuals with multiple sclerosis. Scores range from 0 to 10 in 0.5-point increments, where 0 indicates normal neurological status and 10 represents death due to MS. Higher scores reflect greater disability.

  8. Visual Acuity

    Time frame: Baseline only

    Participants' visual acuity will be assessed using the Snellen chart under standard conditions. The test will be conducted with or without corrective lenses depending on the participant's usual visual aid usage. Visual acuity will be recorded as a Snellen fraction (e.g., 20/20, 20/40), where larger denominators indicate poorer visual performance.

Other outcomes

  1. Perceived Task Load

    Time frame: Immediately after the intervention

    The NASA Task Load Index (NASA-TLX) will be used to measure mental and physical workload related to the task. The scale consists of six subscales: mental demand, physical demand, temporal demand, performance, effort, and frustration. Each subscale is rated on a 0-100 visual analog scale, and an overall workload score is obtained by averaging the six subscales. Higher scores indicate greater perceived workload.

Study contacts

Contact information is provided by the study sponsor or research team.

Merve Ünal, Res. Asst.

CONTACT

[email protected]

+905386582787

Sponsors and collaborators

Lead sponsor

Hacettepe University

Other

Registry information

Official study title

Effects of Motor Imagery and Action Observation on Gait Initiation and Spatiotemporal Gait Parameters in Multiple Sclerosis

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Aug 22, 2025
Registry last updated
Mar 23, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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