Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Department of Neuroscience, Psychology and Behavior. The University of Leicester | UNKNOWN |
| School of Psychology, The University of Nottingham | UNKNOWN |
| The Alice Ho Miu Ning Nethersole Hospital | UNKNOWN |
Not provided
Not provided
Not provided
Not provided
We propose to validate an interactive, immersive spatial memory test from the laboratory test. This VR-based working memory test (VRWMT) is a first-person, self-pacing game embedded within a virtual reality environment, the program is easily implemented with minimal instructions and no supervision that can be community-users friendly. It is specifically designed to assess rapid spatial working memory - a common deficit in all NCD subtypes. Its ability to detect pathological models of dementia, age-related deterioration, and hippocampal dysfunction are well established in literature
The proposed research aims to study the ability of VRWMT to discriminate between older adults with known mild NCD, healthy age-matched older adults and participants with non-communicable diseases and to predict their deterioration in cognitive function over a period of 12 months. Moreover, this study is to characterize and evaluate any concurrent validity between emergence of deterioration in the VRWMT and clinical tools of functional performance in older adults. Additionally, the potential of inflammatory and metabolic dysregulation biomarkers to increase our ability to detect early NCD risk over and above the predictive validity of the VRWMT. The study findings will bring both social and clinical significance to ageing and NCD research. The combination of behavioural and biomarkers of pathological significance offers an innovative approach that potentially addresses the limitations intrinsic to either measure alone.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| older adults with known mild NCD | Older adults with known mild neuro-cognitive disorders |
| |
| older adults with non-communicable diseases | older adults with non-communicable diseases such as diabetics, hypertension and chronic obstructive airway diseases |
| |
| Older adults with healthy condition | Older adults who are free from neuro-cognitive disorders and non-communicable diseases |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| no intervention | Other | no interventioni |
|
| Measure | Description | Time Frame |
|---|---|---|
| Delayed matching-to-place (DMP) | a prototypical working memory test implemented in a virtual reality environment of the VRWMT | 20 mins |
| The Montreal Cognitive Assessment - Hong Kong Version | The MoCA-HK is an examiner-rated cognitive screening test that evaluates visuospatial functions, naming, attention and working memory, language, abstraction, and orientation, commonly affected in NCD including Alzheimer's disease, stroke, and vascular dementia. It is a validated tool for detecting cognitive impairment in Chinese Hong Kong population at early stages. It is a common tool in practical practice that can be under 15 minutes. MoCA scores range from 0 to 30. Subjects with a score of above 21 will be classified as "healthy controls", while 21 or below will be included in the mild NCD group in the present study. | 15 mins |
| The Chinese Multiple Errands Test | A functional performance measure of executive function that identifies abnormalities known for its ecological validity through assessment of real-world daily living activities. The proposed study will evaluate the ability of working memory (as a component to executive function) from VRWMT to predict executive functions (globally) across the six scores obtained from the Chinese Multiple Errands Test | 20 mins |
| Biological biomarkers for older adults with NCDs and Healthy Control | The panel of biomarkers covers five immune cytokines and two metabolic markers (including serum IL-1B,Interleukin 6, Interleukin 10, Interleukin 33, Tumor Necrosis Factor alpha, Leptin and Glycosylated haemoglobin A1c (HbA1c) | 5 mins |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Older adults who are community dwelling
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Frank HY Lai, Phd | Contact | 91448014 | frank.hy.lai@polyu.edu.hk |
Not provided
Not provided
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27659539 | Background | Daugherty AM, Raz N. A virtual water maze revisited: Two-year changes in navigation performance and their neural correlates in healthy adults. Neuroimage. 2017 Feb 1;146:492-506. doi: 10.1016/j.neuroimage.2016.09.044. Epub 2016 Sep 19. | |
| 25838036 | Background | Daugherty AM, Bender AR, Yuan P, Raz N. Changes in Search Path Complexity and Length During Learning of a Virtual Water Maze: Age Differences and Differential Associations with Hippocampal Subfield Volumes. Cereb Cortex. 2016 Jun;26(6):2391-401. doi: 10.1093/cercor/bhv061. Epub 2015 Apr 1. |
Not provided
Not provided
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
The panel of biomarkers covers five immune cytokines and two metabolic markers (including serum IL-1B,Interleukin 6, Interleukin 10, Interleukin 33, Tumor Necrosis Factor alpha, Leptin and Glycosylated haemoglobin A1c (HbA1c)
| 19948225 | Background | Folley BS, Astur R, Jagannathan K, Calhoun VD, Pearlson GD. Anomalous neural circuit function in schizophrenia during a virtual Morris water task. Neuroimage. 2010 Feb 15;49(4):3373-84. doi: 10.1016/j.neuroimage.2009.11.034. Epub 2009 Dec 4. |
| 24860019 | Result | Daugherty AM, Yuan P, Dahle CL, Bender AR, Yang Y, Raz N. Path Complexity in Virtual Water Maze Navigation: Differential Associations with Age, Sex, and Regional Brain Volume. Cereb Cortex. 2015 Sep;25(9):3122-31. doi: 10.1093/cercor/bhu107. Epub 2014 May 23. |