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https://hdl.handle.net/20.500.14365/1302
Title: | Eeg-Based Neglect Assessment: a Feasibility Study | Authors: | Khalaf, Aya Kersey, Jessica Eldeeb, Safaa Alankus, Gazihan Grattan, Emily Waterstram, Laura Skidmore, Elizabeth |
Keywords: | Stroke Spatial neglect Attention Electroencephalography Classification Computer-aided diagnosis Unilateral Spatial Neglect Hemisphere Stroke Virtual-Reality Attention Brain Performance Extinction Fmri |
Publisher: | Elsevier Science Bv | Abstract: | Background: Spatial neglect (SN) is a neuropsychological syndrome that impairs automatic attention orienting to stimuli in the contralesional visual space of stroke patients. SN is commonly assessed using paper and pencil tests. Recently, computerized tests have been proposed to provide a dynamic assessment of SN. However, both paper- and computer-based methods have limitations. New method: Electroencephalography (EEG) shows promise for overcoming the limitations of current assessment methods. The aim of this work is to introduce an objective passive BO system that records EEG signals in response to visual stimuli appearing in random locations on a screen with a dynamically changing background. Our preliminary experimental studies focused on validating the system using healthy participants with intact brains rather than employing it initially in more complex environments with patients having cortical lesions. Therefore, we designed a version of the test in which we simulated SN by hiding target stimuli appearing on the left side of the screen so that the subject's attention is shifted to the right side. Results: Results showed that there are statistically significant differences between EEG responses due to right and left side stimuli reflecting different processing and attention levels towards both sides of the screen. The system achieved average accuracy, sensitivity and specificity of 74.24%, 75.17% and 71.36% respectively. Comparison with existing methods: The proposed test can examine both presence and severity of SN, unlike traditional paper and pencil tests and computer-based methods. Conclusions: The proposed test is a promising objective SN evaluation method. Published by Elsevier B.V. | URI: | https://doi.org/10.1016/j.jneumeth.2018.03.019 https://hdl.handle.net/20.500.14365/1302 |
ISSN: | 0165-0270 1872-678X |
Appears in Collections: | PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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