Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns. Issue 4 (19th April 2022)

• Record Type: Journal Article
• Authors: Das, Surya; Puthankattil, Subha D.
• Is Part Of: Expert systems. Volume 40:Issue 4(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-04-19
• Subjects: brain connectivity -- neurological disorder -- smart e‐health -- wireless EEG; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.13016
• Languages: English
• ISSNs: 0266-4720

Abstract

Abstract: Over the last two decades, there has been a tremendous increase in research activity on brain connectivity studies and its application in different neurological disorders. Studies have been focused on different connectivity patterns generated and potential biomarkers that could be derived to find the etymology of the disorder. In this review, the focus is on the utilization of wireless electroencephalogram monitoring system for functional connectivity analysis and its capacity for deciphering neurological disorders. The paper reviews different methods adopted to estimate connectivity and the possible convergence of connectivity patterns in four neurological disorders: epilepsy, autism spectrum disorder, Alzheimer and Parkinson's disease. The paper reviews the current status of connectivity research in the aforementioned neurological disorders and its potential in developing a smart e‐health service.