1. A passive, objective and implicit measure of recognition memory in Alzheimer’s Disease using Fastball memory assessment
- Author
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Coulthard E, Smith Lj, milton a, and Stothart G
- Subjects
Text mining ,business.industry ,Computer science ,Measure (physics) ,Artificial intelligence ,Disease ,business ,Machine learning ,computer.software_genre ,computer ,Recognition memory - Abstract
Earlier diagnosis of Alzheimer’s disease (AD) requires biomarkers sensitive to the structural and functional changes associated with the disease. While considerable progress has been made in the development of structural biomarkers, functional biomarkers of early cognitive change are still needed. We present Fastball, a new EEG method for the passive, objective and implicit measurement of recognition memory, that requires no behavioural response or comprehension of the task. Younger adults (aged M=24 SD=6), older adults (aged M=74 SD=4) and AD patients aged M=79 SD=10), (n=20 per group) completed the Fastball task, lasting just under three minutes. The task required the passive viewing of rapidly presented images and assessed their spontaneous ability to differentiate between images on the basis of previous exposure, i.e. old/new. Participants were not instructed to attend to previously seen images and provided no behavioural response. Following the Fastball task, they completed a cued recall task to measure their explicit recognition of previously seen stimuli. AD patients showed significantly impaired recognition memory compared to healthy older adult controls in the Fastball task (p
- Published
- 2020