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?

The uOttawa Sleep Laboratory is looking for adults to participate in a research study investigating the relationship between sleep and memory. Brain activity will be recorded using functional electroencephalography (EEG).

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?

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.

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?

The purpose of this study is to assess the efficacy of an oral medication, IGC-AD1 that is a natural THC-based (Tetrahydrocannabinol) formulation, administered in micro doses, twice a day, on symptomatological Agitation, in patients with mild to severe dementia from Alzheimer's.

What is this Study about?

It is expected that the information collected during this study will be used in analyses and will be published/presented to the scientific community at meetings and in journals. This information may also be used as part of a submission to regulatory authorities around the world to support the approval of the study intervention for agitation in AD.

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.