Abstract
The disease of Alzheimer’s is a neurodegenerative disease that affects the brain. This participated in the progress to Mild Cognitive Impairment (MCI) in Alzheimer's disease (AD) with effect is not solitary critical in medical observation but also has a considerable perspective to improve medical trials. This learning intends to establish an efficient biomarker for predicting accurately the conversion of AD in MCI to Magnetic Resonance Image (MRI). This learning executed an Event-Related Potential (ERP) study on patient and control collection commencing 32 channel EEG obtained throughout N-back functioning recollection to find an ERP- based biomarker and examined whether or not. Event-related synchronization (ERD/ERS) may be used to differentiate between strong mature and subjects related to MCI and AD. It is also studied several important effects in prediction tasks and based on this grading marker calculating for each MCI subject.
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