Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients
Accurate behavioral assessments of consciousness are crucial in guiding management as they provide diagnostic and prognostic information, but they are challenging since different clinical scales lead to varying results for the same patient. This paper aimed to investigate the phase synchrony index i...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8643862/ |
| _version_ | 1818416002149384192 |
|---|---|
| author | Fang Wang Xueying Zhang Fengyun Hu Fenglian Li Yi Zhang Yu-Chu Tian |
| author_facet | Fang Wang Xueying Zhang Fengyun Hu Fenglian Li Yi Zhang Yu-Chu Tian |
| author_sort | Fang Wang |
| collection | DOAJ |
| description | Accurate behavioral assessments of consciousness are crucial in guiding management as they provide diagnostic and prognostic information, but they are challenging since different clinical scales lead to varying results for the same patient. This paper aimed to investigate the phase synchrony index in differentiating the states of consciousness (wakefulness, somnolence, stupor, light coma, middle coma, and deep coma) in ischemic stroke. We evaluated whether the quantitative electroencephalography (EEG) measure, phase synchrony index of the left and right hemispheres, can facilitate the assessment of consciousness in stroke patients. This paper included 82 patients with ischemic stroke admitted for inpatient rehabilitation. The phase synchrony index of the left and right hemispheres was computed in the alpha band (8-12 Hz) and beta band (13-30 Hz), respectively. The associations between the phase synchrony index of the left and right hemispheres in two frequency bands with the clinical states, including the level of consciousness and the National Institutes of Health Stroke Scale score were analyzed. For further assessments of phase synchrony of the left and right hemispheres (PSI-LR), four local phase synchrony indexes in the beta band were also evaluated. The experiments result showed that PSI-LRs in the beta band correlated significantly with the level of consciousness of ischemic stroke patient and the National Institutes of Health Stroke Scale score, and they can identify the impaired consciousness in ischemic stroke patients with an accuracy of 84.15%. Compared with local phase synchrony, the phase synchrony index of channel FP1 and channel FP2 exhibited a more significant correlation with the level of consciousness than the other three local phase synchrony measures. These results suggest that the novel quantitative EEG measure, PSI-LR provides a new objective way to assess the level of consciousness in ischemic stroke patients. |
| first_indexed | 2024-12-14T11:43:57Z |
| format | Article |
| id | doaj.art-a5973f7316484d8bb7d3467670a4aee7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T11:43:57Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a5973f7316484d8bb7d3467670a4aee72022-12-21T23:02:41ZengIEEEIEEE Access2169-35362019-01-017302523026010.1109/ACCESS.2019.28984298643862Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke PatientsFang Wang0https://orcid.org/0000-0002-4229-0531Xueying Zhang1Fengyun Hu2Fenglian Li3Yi Zhang4Yu-Chu Tian5College of Information and Computer, Taiyuan University of Technology, Taiyuan, ChinaCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, ChinaDepartment of Neurology, Hospital of Shanxi Medical University and Shanxi Provincial People’s Hospital, Taiyuan, ChinaCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, ChinaDepartment of Neurology, Hospital of Shanxi Medical University and Shanxi Provincial People’s Hospital, Taiyuan, ChinaSchool of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD, AustraliaAccurate behavioral assessments of consciousness are crucial in guiding management as they provide diagnostic and prognostic information, but they are challenging since different clinical scales lead to varying results for the same patient. This paper aimed to investigate the phase synchrony index in differentiating the states of consciousness (wakefulness, somnolence, stupor, light coma, middle coma, and deep coma) in ischemic stroke. We evaluated whether the quantitative electroencephalography (EEG) measure, phase synchrony index of the left and right hemispheres, can facilitate the assessment of consciousness in stroke patients. This paper included 82 patients with ischemic stroke admitted for inpatient rehabilitation. The phase synchrony index of the left and right hemispheres was computed in the alpha band (8-12 Hz) and beta band (13-30 Hz), respectively. The associations between the phase synchrony index of the left and right hemispheres in two frequency bands with the clinical states, including the level of consciousness and the National Institutes of Health Stroke Scale score were analyzed. For further assessments of phase synchrony of the left and right hemispheres (PSI-LR), four local phase synchrony indexes in the beta band were also evaluated. The experiments result showed that PSI-LRs in the beta band correlated significantly with the level of consciousness of ischemic stroke patient and the National Institutes of Health Stroke Scale score, and they can identify the impaired consciousness in ischemic stroke patients with an accuracy of 84.15%. Compared with local phase synchrony, the phase synchrony index of channel FP1 and channel FP2 exhibited a more significant correlation with the level of consciousness than the other three local phase synchrony measures. These results suggest that the novel quantitative EEG measure, PSI-LR provides a new objective way to assess the level of consciousness in ischemic stroke patients.https://ieeexplore.ieee.org/document/8643862/ConsciousnessEEGphase synchronyischemic stroke |
| spellingShingle | Fang Wang Xueying Zhang Fengyun Hu Fenglian Li Yi Zhang Yu-Chu Tian Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients IEEE Access Consciousness EEG phase synchrony ischemic stroke |
| title | Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients |
| title_full | Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients |
| title_fullStr | Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients |
| title_full_unstemmed | Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients |
| title_short | Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients |
| title_sort | using phase synchrony index for improved assessment of consciousness in ischemic stroke patients |
| topic | Consciousness EEG phase synchrony ischemic stroke |
| url | https://ieeexplore.ieee.org/document/8643862/ |
| work_keys_str_mv | AT fangwang usingphasesynchronyindexforimprovedassessmentofconsciousnessinischemicstrokepatients AT xueyingzhang usingphasesynchronyindexforimprovedassessmentofconsciousnessinischemicstrokepatients AT fengyunhu usingphasesynchronyindexforimprovedassessmentofconsciousnessinischemicstrokepatients AT fenglianli usingphasesynchronyindexforimprovedassessmentofconsciousnessinischemicstrokepatients AT yizhang usingphasesynchronyindexforimprovedassessmentofconsciousnessinischemicstrokepatients AT yuchutian usingphasesynchronyindexforimprovedassessmentofconsciousnessinischemicstrokepatients |