TY - JOUR
T1 - EEG-based neglect assessment
T2 - A feasibility study
AU - Khalaf, Aya
AU - Kersey, Jessica
AU - Eldeeb, Safaa
AU - Alankus, Gazihan
AU - Grattan, Emily
AU - Waterstram, Laura
AU - Skidmore, Elizabeth
AU - Akcakaya, Murat
N1 - Publisher Copyright:
© 2018
PY - 2018/6/1
Y1 - 2018/6/1
N2 - 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 BCI 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.
AB - 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 BCI 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.
KW - Attention
KW - Classification
KW - Computer-aided diagnosis
KW - Electroencephalography
KW - Spatial neglect
KW - Stroke
UR - https://www.scopus.com/pages/publications/85046695164
U2 - 10.1016/j.jneumeth.2018.03.019
DO - 10.1016/j.jneumeth.2018.03.019
M3 - Article
C2 - 29614297
AN - SCOPUS:85046695164
SN - 0165-0270
VL - 303
SP - 169
EP - 177
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
ER -