Welcome to the Cognitive-Communication in Aging and Neurogenic Disorders Laboratory
Welcome to the homepage for the Cognitive-Communication in Aging and Neurogenic Disorders Laboratory (CCANDL). Our team seeks to understand preclinical signs of dementia, shed light on possible methods of early identification, and explore innovative intervention options. We seek interdisciplinary collaboration and community input for our projects.
Please feel free to contact our team at any time with questions about our work or how you can get involved!
Primary Aims of Our Lab
Understanding neural mechanisms of speech/language in individuals with normal aging, preclinical Alzheimer’s disease, Alzheimer’s Disease, Mild CognitiveImpairment (MCI), and other forms of dementia.
Design and testing of identification methods of early cognitive change in the presence of AD biomarkers.
Analysis of naturalistic speech-language samples as a means of gaining insight from subtle changes to communication in the context of aging and neurodegenerative diseases.
Creation of multimodal therapeutic interventions to address cognitive-communication difficulties in MCI and dementia due to neurodegenerative disease.
News from CCANDL
On March 9th, CCANDL’s Hannah Belay, a third year undergraduate student in Communication Sciences and Disorders received a Foreign Language and Area Studies (FLAS) Fellowship for the 2020-2021 school year to continue her study of …
On Thursday March 5th, CCANDL members Hannah Belay, Cassandra Peters, Elizabeth Evans, and Audra Koscik presented their work at the Wisconsin Alzheimer’s Disease and Related Disorders Research Day.
On March 5th, Elizabeth Evans, first-year graduate student in Communication Sciences and Disorders, won the Best Graduate Student Poster Award at the Wisconsin Alzheimer’s Disease and Related Disorders Research Day. Elizabeth’s poster, entitled “Validation of …
This February, first year MS SLP student Elizabeth Evans presented her work on African American Adults at Risk for Alzheimer’s Disease and the role of connected speech analysis. Her presentation included information from Gina …
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