Parkinson Disease
Conditions
Brief summary
The goals of our StepuP project are: 1. To understand the kinematic and neural mechanisms underlying walking improvements due to treadmill training with and without VR-enabled gait adaptations in people with PD; 2. To assess to what extent improvements in walking due to treadmill training, as measured in the laboratory, transfer to improvements in daily life mobility; 3. To understand the mechanisms underlying the transfer from improvements in walking to improvements in mobility in daily life in people with PD; 4. To understand for whom treadmill training improves walking characteristics in the laboratory and for whom it does not, and to understand for whom treadmill training improves mobility in daily life and for whom it does not.
Interventions
DEVICEVR
Virtual reality that simulates obstacles on the road during walking
Sponsors
Tel-Aviv Sourasky Medical Center
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
25 Years to 90 Years
Healthy volunteers
No
Inclusion criteria
Specific criteria for Parkinson's disease - PD * Diagnosis of Parkinson's disease according to the MDS World Movement Disorders Society criteria Disease severity H&Y I-III * Score section 3.10 (ability to walk) MDS-UPDRS 3.10 ≥ 1 * MoCA cognitive assessment \> 15 * Stable cardiovascular condition, ability to perform aerobic activity at low to moderate intensity * Without orthopedic diseases and other diseases that affect the quality of walking, at the decision of the researcher.
Exclusion criteria
* Moderate or severe depression (BDI-II ≥18) * Orthopedic diseases and other diseases that affect the quality of walking, at the decision of the researcher
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| motion capture | 13 months | Kinematic data will be collected using a Qualisys or Vicon motion capture system at a sampling frequency of 100 Hz. |
| describe brain activity by EEG cap | 13 months | EEG recordings will be made using a 64-channel or 128 channel EEG cap |
| describe muscles activity by EMG electrodes | 13 months | Bipolar EMG electrodes will be placed on the leg muscles. EMG data will be recorded at a sample frequency available for each system around 2000 Hz. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| mGES questionnaire | 13 months | modified gait efficacy scale |
| FES-i questionnaire | 13 months | Short falls efficacy scale international FES-i |
| FACIT-F questionnaire | 13 months | fatigue |
| EQ-5D questionnaire | 13 months | health-related quality of life |
| Frailty questionnaire | 13 months | Frailty index for physical activity |
| Fall questionnaires | 13 months | Fall events (occurrence and frequency) and fall related injuries. (twelve-month retrospective during T0 and during the duration of the trail |
| clinical trial TUG | 13 months | standard time-up-and-go test |
| NFOGQ questionnaires | 13 months | NFOGQ |
| aids questionnaires | 13 months | Use of mobility aids |
| cognition questionnaires | 13 months | MoCA and trail making test for cognition |
| Demographics questionnaire ( descriptive measures) | 13 months | General descriptive measures : Year of birth, gender, height, weight, shoe size, education, employment, living arrangement, smoking history and alcohol consumption. |
| Fracture history questionnaire | 13 months | Fracture history (number and type of fracture, twelve-month retrospective of T0) |
| MDS-UPDRS test | 13 months | MDS-UPDRS |
| clinical trial walk test | 13 months | 2-minute walk test |
| clinical trial MiniBESTest | 13 months | balance and fall risk |
Outcome results
None listed