What is this Study about?

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.

What is this Study about?

This study examines how people with dementia or MCI perform household tasks, focusing on when they seek support, and which prompts help them complete tasks. The findings will help develop technologies to assist them in completing tasks more independently and safely.

What is this Study about?

McMaster University, in partnership with Ressam Gardens Memory Care Community, is conducting a study on the effects of brain stimulation in individuals aged 50 and older with dementia or memory loss. The research focuses on using repetitive transcranial magnetic stimulation (rTMS), a non-invasive technique that delivers magnetic pulses to the brain, to enhance cognitive function and balance. The goal is to extend the positive effects of brain stimulation in improving cognition and balance in individuals with dementia.

What is this Study about?

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.

What is this Study about?

Early detection of brain changes is crucial to prevent cognitive decline and dementia. This study uses electroencephalography (EEG) to record the brain's electrical signals during simple tasks, with the hope of validating a measure that can improve early detection of Alzheimer’s disease.

We are recruiting 150 individuals with mild memory issues and mild dementia at Baycrest in Toronto and Bruyère in Ottawa. In a separate study we are also recruiting older adults with no memory problems. The results of both studies together will help us determine if our new EEG measure can detect abnormal changes in brain health early on and if it can help predict future cognitive changes. We hope that this new test will be used in the clinic to identify individuals who may benefit the most from early treatment and interventions.

What is this Study about?

This study aims to explore how the website, the Driving and Dementia Roadmap (DDR), is experienced by and impacts how people with dementia and family/friend carers manage the driving cessation process. Participants will be asked to use the DDR for 2-6 weeks, record their thoughts in a diary and take part in an interview or focus group.

What is this Study about?

A dementia diagnosis impacts the cognitive, functional, and physical abilities of those diagnosed, which will influence their ability to perform activities of daily living including meal preparation and eating. Persons living with dementia can experience a range of difficulties while eating that will impact their ability to consume adequate food and fluids, which include but are not limited to swallowing, chewing, and self-feeding difficulties. Consequently, persons living with dementia are at increased risk of malnutrition and negative health outcomes. The objective of this study is to understand the experience of persons’ living with dementia or diagnosed memory problems and/or their caregivers in managing eating challenges and swallowing problems in the community.

What is this Study about?

Our study titled "Investigating the Role of Quantitative Susceptibility Mapping and Oxygen Extraction Fraction as Advanced Neuroimaging Biomarkers in Alzheimer's Disease" aims to develop non-invasive diagnostic biomarkers for Alzheimer's Disease (AD). We focus on evaluating the potential of QSM and OEF to differentiate between AD, Mild Cognitive Impairment (MCI), and Cognitively Unimpaired populations and to predict amyloid and tau pathology, using a Systems Biology approach. Leveraging the McGill University's TRIAD cohort, the study utilizes advanced imaging and machine learning to predict amyloid and tau presence, which could transform AD diagnostics and treatment. Methodologically, it involves preprocessing neuroimaging data and employing machine learning classifiers to analyze these features. The anticipated outcomes include validating QSM and OEF as non-invasive biomarkers for AD, establishing their correlation with amyloid and tau proteins, and developing predictive models for clinical decision-making, potentially resulting in significant advancements in AD diagnostics.

What is this Study about?

We want to determine if a nutrition questionnaire (SCREEN) works well to identify nutrition challenges for older adults with diagnosed memory problems, cognitive impairment or dementia when completed by themselves, or by a care partner on behalf of their cared for person.