Research at the McKnight Brain Institute involves an inter-disciplinary collaboration across departments and programs at the University of Miami. This includes neuroepidemiology, neuro-ophthalmology, neuropsychology, psychiatry, aging, physical therapy, sleep disorders, neurology and cell biology, radiology and human genetics. We also collaborate on research initiatives with the McKnight Brain Institutes at the University of Alabama, University of Florida and the University of Arizona.
The McKnight MRI Core and Neuropsychology Core Projects
Collaborative cores with other McKnight Brain Institutes involving ongoing research and collection of standardized brain MRIs and neuropsychological assessment data in patients with memory and cognitive loss.
Evelyn F. McKnight Brain Institute Cognitive Disorders Clinical and Biorepository Registry Collection
A comprehensive longitudinal database registry for patients with age-related memory disorders and dementias. Participants are enrolled from the University of Miami Memory Disorders Clinic, a collaborative effort between Neurology and Psychiatry & Behavioral Sciences. The databank collects information on patient demographics, clinical assessments, medical history, genetic risk factors, imaging data and treatment modalities.
Identification of Biomarkers for Early Diagnosis of Cognitive Impairment in the Elderly
This study aims to identify new biomarkers that can be detected in participants that are at risk of developing dementia and/or have cognitive impairment.
Evaluating Frailty as a Preventive Measure in Maintaining Quality of Life in Aging
This research focuses on a clinical and community cohort of aging adults and evaluates their propensity towards being determined non-frail, pre-frail and frail. The goal is early detection and prevention of frailty symptoms and clinical characteristics.
An Analysis of Cognition in Patients with Memory Complaints
This research project examines questions related to the cognitive, psychological and biomedical variables associated with dementia and its subtypes including demographics and risk factors leading to the identification of predictive variables that will improve the understanding of dementia and other memory disorders and its comorbidities.