Unlock the Secrets of Ageing Brains through Games
Research type
Research Study
Full title
Effects of Different Parameter Settings on the Classification Accuracy of P300-BCI Speller in Elderly Adults with and without Mild Cognitive Impairments
IRAS ID
346367
Contact name
Mahnaz Arvaneh
Contact email
Sponsor organisation
University of Sheffield
Clinicaltrials.gov Identifier
Duration of Study in the UK
0 years, 9 months, 0 days
Research summary
The Electroencephalogram (EEG) is widely used in clinical practice to assess various neurological disorders. It records the brain's spontaneous electrical activity, providing a non-invasive way to visually examine brain signals. By analysing these signals, we aim to gain valuable insights into cognitive impairments and the cognitive processes of the ageing brain. The P300 is an event-related potential (ERP) that serves as a crucial EEG-based biomarker, whose amplitude and latency are key points of research in cognitive impairments. Typically elicited by a visual speller, the P300 could be used for the communication through brain-computer interface (BCI). A P300-based BCI enables communication by detecting the P300 response to specific target letters, allowing users to select letters they wish to spell through interactive interface. In this study, we will recruit 15 elderly participants with mild cognitive impairment (MCI) symptoms and 15 controls without MCI. We will customise the P300-BCI by adjusting the inter-stimulus interval (ISI) and the matrix size which is the probability of the target presenting. This will help us investigate how these parameter settings influence the P300 components and the accuracy of the P300-BCI in both groups. Additionally, this study could help explore the potential of the P300-BCI to mitigate MCI symptoms and provide evidence for its further development.
REC name
East Midlands - Leicester South Research Ethics Committee
REC reference
24/EM/0238
Date of REC Opinion
16 Dec 2024
REC opinion
Further Information Favourable Opinion