Improving methodologies and outcomes of cognitively-oriented treatments for older adults
- Research Opportunity
- PhD, Masters by Research, Honours
- Project Status
|Alex Bahar-Fuchs||Alex.firstname.lastname@example.org||Personal web page|
|Amit Lampit||Personal web page|
My group at the AUPOA (Academic Unit for Psychiatry of Old Age, Department of Psychiatry, UoM) investigates cognitively-oriented treatments (e.g., cognitive training, rehabilitation) targeting cognition, well-being, and function, in older adults. Broad themes of interest include the development of cognitively-oriented interventions incorporating emerging technologies (e.g., virtual reality), with strong theoretical underpinnings in neuroscience and behaviour-change, as well as trial design methodology and evidence synthesis. Within the older adult population, my work includes the full spectrum from cognitive and functional health, to dementia.
The following are some suggested directions to explore with prospective honours students in 2018:
- Framework for the development of cognitive training tasks across multiple environments in the setting of virtual reality-based training.
- The relationship between self and informant-reported mood symptoms (depression ,anxiety, apathy), adherence/engagement, and cognitive test performance before and after cognitive training.
- Cognitive training-related practice effects in older adults with and without cognitive impairment
- Patterns of decay in cognitive gains following cognitive training in cognitively healthy and cognitive impaired older adults
- Modelling of change in individual task performance throughout a cognitive training intervention.
- Olfactory identification in older adults with and without cognitive impairment and mood-related symptoms: analysis of error-types.
- Meta-review of cognition-oriented treatments for older adults (systematic review of reviews).
- Recruitment and retention of research participants in trials of cognition-oriented treatments: a review of methodological challenges and possible solutions.
These and other relevant projects can be completed using literature reviews, analysis of existing data-sets and prospectively collected data.
Further details will be discussed with suitable prospective students. If you are interested, send your CV along with a brief expression of interests to: Alex.email@example.com.
Faculty Research Themes
School Research Themes
PhD, Masters by Research, Honours
Graduate Research Students who are interested in joining this project will need to consider their elegibility as well as other Graduate Research requirements before contacting the supervisor of this research
For further information about this research, please contact a supervisor.