DocumentCode :
3685460
Title :
An EEG study of turning freeze in Parkinson´s disease patients: The alteration of brain dynamic on the motor and visual cortex
Author :
A.M. Ardi Handojoseno;Moran Gilat;Quynh Tran Ly;Hayat Chamtie;James M. Shine;Tuan N. Nguyen;Yvonne Tran;Simon J.G. Lewis;Hung T. Nguyen
Author_Institution :
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
fYear :
2015
Firstpage :
6618
Lastpage :
6621
Abstract :
Freezing of gait is a very debilitating symptom affecting many patients with Parkinson´s disease, leading to a reduced mobility and increased risk for falls. Turning is known to be the most provocative trigger for freezing of gait. However, the underlying brain dynamic changes associated with a turning freeze remain unknown. This study therefore used ambulatory EEG to investigate the brain dynamic changes associated with freezing of gait during turning. In addition, this study aimed to determine the most suitable EEG sensor location to detect freezing of gait during turning using our classification system. Data from four Parkinson´s disease patients with freezing of gait was analysed using power spectral density and brain effective connectivity, comparing periods of successful turning with freezing of gait during turning. Results showed that freezing of gait during turning is associated with significant alterations in the high beta and theta power spectral densities across the occipital and parietal areas. Furthermore, brain effective connectivity showed that freezing during turning was associated with increased connectivity towards the visual area, which also had the highest accuracy to detect freezing episodes in the O1 regions by using power spectral density in our classification analyses. This is the first study to show cortical dynamic changes associated with freezing of gait during turning, providing valuable information to enhance the performance of future freezing of gait detection systems.
Keywords :
"Turning","Parkinson´s disease","Electroencephalography","Visualization","Electrodes","Accuracy","Testing"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319910
Filename :
7319910
Link To Document :
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