De quoi consiste cette étude ?

This study is testing a digital reminder system for people living with dementia. The system sends alerts when daily routines change and collects feedback from caregivers. The goal is to improve the system’s design and usefulness. Results will help make reminder tools more supportive for people living with dementia and their caregivers.

De quoi consiste cette étude ?

Behavioral and emotional changes often accompany dementia and are a leading cause of long-term care placement, even more so than cognitive decline. This study is the first to explore how family caregivers make treatment decisions in response to these emotional and behavioural symptoms. We are interested in understanding whether caregivers turn to medications, consider non-pharmacological strategies such as environmental modifications, or use a combination of both. Using a quantitative behavioural economics model, this study will examine how caregivers weigh the risks and benefits of different treatment options. We are particularly interested in decision-making related to dopaminergic medications (formerly known as “antipsychotics”), which are commonly prescribed despite known risks for people with dementia. The information gathered will help guide the development of resources to better support family caregivers in navigating treatment decisions. Participation involves completing an anonymous online survey and is open to family caregivers involved in medical decision-making for a relative or close friend with dementia.

De quoi consiste cette étude ?

The study involves a primary session of paper-and-pencil tasks, and a second session of a computer task, while your heart rate and brain activity is monitored. The aim of the study is to examine how signals are affected from the body to the brain.

De quoi consiste cette étude ?

In collaboration with our South Asian community collaborators, our goal is to gain an in-depth understanding of new immigrant, multigenerational, South Asian family caregiving for a relative with dementia amidst COVID-19. The goal is to inform future family-centered, healthcare interventions aimed at supporting equity deserving families during times of crisis.

To achieve our goal, we are starting to recruit family care partners living in a multigenerational home and caring for a relative with dementia from each of the four groups of South Asian families. We will be using a multiple case study to examine new immigrant, multigenerational caregiving for a relative with dementia from the perspective of four groups of South Asian families; 1) Pakistani, 2) Bangladeshi, 3) Indian, and 4) Sri Lankan. We will also be using secondary data sources, including genograms, ecoMaps, and key documents.

We will be conducting interviews with a family care partners from each of the four groups. Following these interviews, we will hold four focus groups with a new purposeful sample of South Asian multigenerational care partners to understand if the findings from the interviews reflect their caregiving experiences thereby increasing the reliability of the study findings.

De quoi consiste cette étude ?

The aim of this study is to develop a large, ethically sourced, and diverse database of voice recordings to determine whether voice has biomarkers for particular disease categories, including neurological and neurodegenerative conditions. The data that is collected will be used to develop a full open-access database to fuel artificial intelligence research related to voice.

De quoi consiste cette étude ?

This study will uncover how bilingualism supports healthy cognitive aging by examining the influence of different language experiences on the timing and location of brain network activity. We will examine the timing of brain activity using electroencephalography (EEG; i.e., recordings of electrical brain activity) and the location of brain activity using magnetic resonance imaging (MRI; i.e., images of activity in different parts of the brain). Different language experience factors will additionally be explored. By measuring multiple factors (e.g., the age of second language learning, language proficiency) the effect(s) of different language experiences on the brain and cognition will become clearer.

De quoi consiste cette étude ?

In this study we aim to explore the motivations and impacts of disclosure a personal diagnosis of dementia or being a care partner on social media. The overall goal of the study is to develop an evidence-based resource to promote benefits of social media for the dementia community while minimizing its harms.

De quoi consiste cette étude ?

CAN-PROTECT is a Canada-wide online study recruiting participants and caregivers of persons with dementia to explore how lifestyle, background, and caretaking factors affect our health, quality of life, cognition, behaviour, and function as we age. CAN-PROTECT data will be analyzed and jointly published by the University of Calgary in partnership with the University of Exeter.

De quoi consiste cette étude ?

Notre étude vise à développer des biomarqueurs diagnostiques non invasifs pour la maladie d'Alzheimer. Nous nous concentrons sur l'évaluation du potentiel de la QSM et de la FEO pour différencier la maladie d’Alzheimer, le trouble cognitif léger (MCI) et les populations sans trouble cognitif et pour prédire la pathologie amyloïde et tau, en utilisant une approche de biologie des systèmes. S'appuyant sur la cohorte TRIAD de l'Université McGill, l'étude utilise l'imagerie avancée et l'apprentissage automatique pour prédire la présence d'amyloïde et de tau, ce qui pourrait transformer le diagnostic et le traitement de la maladie d'Alzheimer. D'un point de vue méthodologique, il s'agit de prétraiter les données de neuro-imagerie et d'utiliser des classificateurs d'apprentissage automatique pour analyser ces caractéristiques. Les résultats attendus comprennent la validation de la QSM et de la FEO en tant que biomarqueurs non invasifs de la maladie d'Alzheimer, l'établissement de leur corrélation avec les protéines amyloïdes et tau, et le développement de modèles prédictifs pour la prise de décision clinique, ce qui pourrait entraîner des avancées significatives dans le diagnostic de la maladie d'Alzheimer.