EEG in Transient Epileptic Amnesia
Research type
Research Study
Full title
The role of cortical connectivity and functional network analysis of resting-state EEG in Transient Epileptic Amnesia (TEA)
IRAS ID
272304
Contact name
Lesley Chandra
Contact email
Sponsor organisation
Manchester Metropolitan University
Duration of Study in the UK
1 years, 2 months, 1 days
Research summary
Transient Epileptic Amnesia (TEA) is characterised by recurrent episodes of short-lived amnesia alongside evidence for a diagnosis of epilepsy based on clinical history, diagnostic evidence(Electroencephalography - EEG)or response to anti-epileptic treatment. EEG is an investigation used in the assessment, diagnosis of epilepsy, but can often yield non-specific abnormalities in TEA. This study aims to investigate the usefulness of novel mathematical analysis of EEG data which focusses on the networking and connectivity between the activities recorded in the EEG rather than traditional visual analysis. These mathematical techniques have yielded useful information for other conditions affecting memory such as Alzheimer's disease and mild cognitive impairment. This study will allow comparison of the connectivity and networking characteristics within the EEGs of TEA patients with those of the healthy population. The main study hypothesis is that the The network analysis of resting-state EEG activities reveals distinctive EEG networking and connectivity patterns in TEA patients compared to healthy controls, thus providing better diagnostic accuracy.
REC name
North West - Greater Manchester East Research Ethics Committee
REC reference
20/NW/0376
Date of REC Opinion
20 Nov 2020
REC opinion
Further Information Favourable Opinion