Multiple sclerosis (MS) is a demyelinating and neurodegenerative disease of the central nervous system, with common symptoms including muscle weakness, balance impairments, gait difficulties, and fatigue. These symptoms significantly affect individuals' functional mobility, independence, and quality of life. In individuals with MS, reduced lower extremity muscle strength leads to decreased walking speed and loss of balance, resulting in substantial limitations in activities of daily living. Conventional clinical assessment tools, such as the Timed Up and Go (TUG), Five-Repetition Sit-to-Stand Test (5xSTS), and the Timed 25-Foot Walk (T25FW), have been widely used for many years to evaluate functional mobility in individuals with MS. However, these tests typically rely on unidimensional measurement parameters and may demonstrate subjective variability depending on the testing environment and the examiner's experience. Advances in measurement technologies now allow these clinical tests to be transformed into more objective, standardized, and interactive assessment tools. Virtual reality (VR) provides a new perspective for the assessment of motor performance by enabling three-dimensional and interactive simulations of real-world scenarios. VR-based applications allow for the simultaneous evaluation of both motor and cognitive components while also increasing individuals' motivation and engagement. Previous studies have demonstrated that VR technology is effective in neurological rehabilitation, particularly in improving balance, walking speed, and functional mobility in the MS population. In contrast to VR, mixed reality (MR) is a technology that allows individuals to maintain interaction with the real environment while integrating virtual objects into the physical space. The existing literature reveals a notable gap in research focusing on the validity and reliability of VR or MR-based functional tests in individuals with multiple sclerosis. However, no studies to date have investigated the adaptation of lower extremity functional tests (TUG, 5xSTS, and T25FW) to a mixed reality environment. Therefore, the primary rationale of this study is to evaluate the digital applicability of commonly used functional tests in individuals with MS on the Meta Quest 3 virtual reality platform and to determine the validity and reliability of these tests. Additionally, this study aims to examine the relationships between data obtained from the virtual tests and fatigue (Modified Fatigue Impact Scale, MFIS), walking performance (12-Item Multiple Sclerosis Walking Scale: MSWS-12), and knee extensor muscle strength in order to establish the convergent validity of this novel approach. The findings of this study are expected to contribute to the development of an objective, standardized, safe, and innovative digital assessment tool for functional evaluation in individuals with multiple sclerosis. Furthermore, the results will strengthen the scientific foundation for remote monitoring of the rehabilitation process and for the development of personalized treatment programs.
Study Type
OBSERVATIONAL
Enrollment
75
Participants with multiple sclerosis will undergo EDSS assessment, functional mobility tests (TUG, 5xSTS, and T25FW; conventional and mixed reality-based), fatigue (MFIS), walking performance (MSWS-12), knee extensor muscle strength, handgrip strength, and participant satisfaction evaluations. Conventional tests will be performed prior to mixed reality-based assessments; MR-based tests will be conducted using the Meta Quest 3 and repeated one week later for test-retest reliability.
Selcuk University Faculty of Medicine Hospital MS Life Center
Konya, Selcuklu, Turkey (Türkiye)
Timed Up and Go Test - Mixed Reality (TUG-MR)
This outcome measure will be used to assess functional mobility, balance, and lower extremity performance in individuals with multiple sclerosis using a mixed reality-based digital adaptation of the Timed Up and Go test. Test completion time will be automatically recorded by the system.
Time frame: Baseline and 1-week follow-up
Five-Repetition Sit-to-Stand Test - Mixed Reality (5xSTS-MR)
This outcome measure will be used to assess lower extremity muscle strength and functional mobility using a mixed reality-based adaptation of the Five-Repetition Sit-to-Stand test. Test duration will be automatically recorded.
Time frame: Baseline and 1-week follow-up
Timed 25-Foot Walk - Mixed Reality (T25FW-MR)
This outcome measure will be used to assess walking speed and functional mobility in individuals with multiple sclerosis using a mixed reality-based version of the Timed 25-Foot Walk test. Test time will be automatically recorded by the system.
Time frame: Baseline and 1-week follow-up
Timed Up and Go Test - Conventional
The conventional Timed Up and Go test will be administered to assess functional mobility and balance. This test is a valid and reliable clinical measure in individuals with multiple sclerosis.
Time frame: Baseline
Five-Repetition Sit-to-Stand Test - Conventional
The conventional Five-Repetition Sit-to-Stand test will be used to assess lower extremity muscle strength and functional mobility.
Time frame: Baseline
Timed 25-Foot Walk - Conventional
The conventional Timed 25-Foot Walk test will be administered to assess walking speed and mobility. This test is a component of the Multiple Sclerosis Functional Composite.
Time frame: Baseline
Expanded Disability Status Scale (EDSS)
This scale will be administered by a physician to determine the level of neurological disability in individuals with multiple sclerosis.
Time frame: Baseline
Modified Fatigue Impact Scale (MFIS)
This scale will be used to assess the impact of fatigue on physical, cognitive, and psychosocial functioning in individuals with multiple sclerosis.
Time frame: Baseline
Multiple Sclerosis Walking Scale-12 (MSWS-12)
This self-reported questionnaire will be used to assess walking performance and the impact of walking difficulties on daily life in individuals with multiple sclerosis.
Time frame: Baseline
Knee Extensor Muscle Strength
Knee extensor muscle strength will be measured using a handheld digital dynamometer to assess lower extremity muscle strength.
Time frame: Baseline
Handgrip Strength
Handgrip strength will be measured using a digital dynamometer to assess upper extremity muscle strength and overall muscular function.
Time frame: Baseline
Participant Satisfaction
Participant satisfaction with conventional and mixed reality-based assessments will be evaluated using a 10-point numerical rating scale.
Time frame: Baseline
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