Parkinson's disease Mild Cognitive Impairment Mild Dementia
Conditions
Interventions
Group 1: Patients with diagnosed neurocognitive and neurodegenerative conditions (i.e., Parkinson’s disease, mild cognitive impairment, or mild dementia) will receive an augmented reality–based motor
Sponsors
Lehrstuhl und Sektion klinische Kognitionswissenschaften an der Uniklinik RWTH Aachen
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Patients with a diagnosis of Parkinson’s disease (Hoehn and Yahr stages I–IV) or patients with a diagnosis of mild cognitive impairment (MCI) or mild dementia. 2. Patients must be able to understand the purpose and risks of the study and provide informed consent. 3. Sufficient proficiency in German to communicate effectively and to complete the questionnaires and assessments used in the study.
Exclusion criteria
Exclusion criteria: 1. Balance disorders 2. Confounding neurological conditions (e.g., history of traumatic brain injury), neglect, or moderate to severe dementia or cognitive impairment that would interfere with study participation 3. Blindness or severe visual impairment 4. High risk of falls or motor impairments in type or severity that could interfere with the successful completion of the training 5. Psychiatric or behavioral disorders that may interfere with the study procedures, or acute suicidality 6. Known seizure disorder (epilepsy) 7. Other significant medical conditions that, by their nature or severity, could interfere with the study or influence the outcome measures 8. Presence of implants or medical devices that preclude the use of an AR headset 9. Persons involuntarily detained by judicial or official order
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Primary endpoints are the acceptability, usability, and tolerability of the AR-based training, assessed using standardized questionnaires (User Experience Questionnaire [UEQ], Technology Acceptance Model [TAM], Augmented Reality Sickness Questionnaire [ARSQ]), as well as feasibility parameters (e.g., participation and dropout rates, number of completed training sessions). | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary endpoints include exploratory analyses of associations (e.g., correlation analyses) between feasibility parameters and clinical and demographic variables. Additionally, participants’ willingness to continue using the training will be assessed. | — |
Countries
Germany
Contacts
Public ContactFerdinand C. Binkofski
Lehrstuhl und Sektion klinische Kognitionswissenschaften an der Uniklinik RWTH Aachen
Outcome results
None listed