The cognitive and motor effects of Immersive Virtual Reality in patients with Cognitive Impairment
- Conditions
- eurocognitive Disorders
- Registration Number
- RBR-2kk9vnh
- Lead Sponsor
- Faculdade de Medicina da Universidade de São Paulo
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot yet recruiting
- Sex
- Not specified
- Target Recruitment
- Not specified
Will be included (1) elderly patients (>60 years old); (2) of both genders; (3) with adequate command of the Portuguese language; that are classified into one of the following two categories: (3) Mild Neurocognitive Disorder – at least one domain with composite score less than or equal to – 1, but without criteria for dementia; (4) Mild Major Neurocognitive Disorder with CDR less than 2 and (5) accepting to participate in the study by signing the Informed Consent Form.
Individuals with (1) previous diagnosis of major neurocognitive disorder with CDR greater than or equal to 2 will be excluded; (2) presence of delirium, psychotic mental disorders, or substance-related mental disorders according to DSM-5 criteria; (3) severe retinal problems or severe visual impairment using corrective lenses; (4) severe uncorrected hearing deficit; (5) have decompensated cardiovascular diseases, such as angina, heart failure; (6) epilepsy; (7) motion sickness; (8) experiencing cybersickness during the familiarization game (9) health problem that makes it impossible to use immersive Virtual Reality; (10) serious clinical conditions with uncontrolled symptoms or instability and (11) missing the first 2 consecutive sessions.
Study & Design
- Study Type
- Intervention
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method It is expected to find an improvement in patients' cognitive performance through an increase in the SGHC-FMUSP Neurocognitive Battery score and the Word Stress Test – Brazilian version (TAP-Br) with 40 items. Data distribution will be analyzed using the Kilmogorov Smirnov test. The Z score will be used to normalize non-parametric distribution data. Continuous data will be compared using the General Linear Model (GLM) test for repeated measures and univariate GLM (for group comparison). The significance level to be considered will be a 5% variation in pre- and post-intervention measurements.
- Secondary Outcome Measures
Name Time Method