QEEG CAN DISTINGUISH PATIENTS WITH AD AND VOLUNTEERS. Issue 12 (15th November 2016)

• Record Type: Journal Article
• Authors: Blackburn, Daniel; Yifan, Zhou; Bell, Simon; Marco, Matteo De; He, Fei; Wilkinson, Iain; Farrow, Thomas; Venneri, Annalena; Sarrigiannis, Ptolemaios
• Is Part Of: Journal of neurology, neurosurgery and psychiatry. Volume 87:Issue 12(2016)
• Page Start: e1
• Page End: e1
• Publication Date: 2016-11-15
• Subjects: Neurology -- Periodicals; Nervous system -- Surgery -- Periodicals; Psychiatry -- Periodicals; 616.8
• DOI: 10.1136/jnnp-2016-315106.56
• Languages: English
• ISSNs: 0022-3050

Abstract

Abstract : Introduction: Quantitative Electroencephalography (qEEG) has been shown to distinguish AD patients from healthy controls (HC) at a group but not at an individual level. A novel qEEG data analysis method created at the University of Sheffield can measure linear and non-linear levels of brain synchronisation in the time domain. Methods: Patients with AD and HV had resting state EEGs. The standard 10–20 international system of EEG electrode placement was used. All patients had MRI and detailed neuropsychology as part of the European VPH-DARE@IT project. Custom made software (Error Reduction Ratio-causality (ERR-causality) analysed average strength of linear and non-linear synchronization in bicentroparietal region. Results: 10 HC and 10 AD EEGs were included. Mean ages were 58.1 (AD) versus 62.2 y (HV). Mean mini-mental state examinations were 17.5 (AD) and 28.50 (HV). The ratio of bi-centroparietal synchronisation between eyes open & eyes close (EO/EC) showed a striking difference between the two groups (AD ratio 0.814 versus HC ratio 0.282, p=0.0006). Conclusions: These results suggest that patients with AD have higher levels of EO bi-centroparietal synchronisation & in particular the ratio between EO/EC synchronisation has potential to be used as a non-invasive and inexpensive biomarker or diagnostic tool for AD.