Early Detection of Alzheimer's Disease and Affective Disorders by Automated Voice and Speech Analysis
PLATA aims to develop an algorithm to identify vocal biomarkers of Alzheimer's dementia. Using data collected as part of routine care, speech patterns will be compared to known biomarkers of Alzheimer's disease, such as amyloid 1-42 and p-Tau in CSF (cerebrospinal fluid). If biomarkers of speech can be identified in Alzheimer's disease, it is possible that patients and research participants will no longer need to undergo need to undergo the intensive and invasive baseline biomarker methods currently used, such as lumbar punctures and PET scans.
• Age ≥ 50 years
• Diagnosis relevant biomarker and neuropsychological data already available
• Cognitively healthy to very mild dementia (CDR score max. 0.5)
• Sufficient knowledge of the study language to understand study information, non opposition form,and questionnaires
• Expression of non opposition