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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.17366 |
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| _version_ | 1866916176672587776 |
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| author | van Bohemen, Samuel J Nardo, Joe O Rogers, Jeffrey M Stephens, Eleanor Wong, Chong H Bleasel, Andrew F Kyme, Andre Z |
| author_facet | van Bohemen, Samuel J Nardo, Joe O Rogers, Jeffrey M Stephens, Eleanor Wong, Chong H Bleasel, Andrew F Kyme, Andre Z |
| contents | The Electrocardiography Brain Perfusion index (EBPi) is a novel electrocardiography (ECG)-based metric that may function as a proxy for cerebral blood flow (CBF). We investigated the spatio-temporal correlation between EBPi and epileptic seizure events. EBPi was computed retrospectively from clinical EEG and ECG data captured previously from 30 epilepsy patients during seizures. Significant EBPi changes were compared temporally with clinically defined ground-truth seizure onset and offset times. We also assessed the spatial correlation between EBPi metrics and clinically defined ground-truth seizure locations. A significant increase in EBPi was detected 10.5 s [-6, 53] (median [95% confidence interval (CI)]) after ground-truth seizure onset, and a significant decrease in EBPi was detected 5 s [-42, 74] (median [95% CI]) after ground-truth seizure offset. EBPi demonstrated a positive predictive value of 61.5% [33.3, 75] (median [95% CI]) and a sensitivity of 57.1% [38.5, 66.7] (median [95% CI]) for the detection of ground truth seizure locations. EBPi signals exhibited a temporal sensitivity to seizure events and in some cases were correlated spatially to the seizure location. Therefore, EBPi, which has been linked to CBF, appears to contain spatio-temporal information related to seizure activity and might have useful application in augmenting EEG data captured during seizures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_17366 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Spatio-Temporal Correlation of Epileptic Seizures with The Electrocardiography Brain Perfusion Index van Bohemen, Samuel J Nardo, Joe O Rogers, Jeffrey M Stephens, Eleanor Wong, Chong H Bleasel, Andrew F Kyme, Andre Z Medical Physics The Electrocardiography Brain Perfusion index (EBPi) is a novel electrocardiography (ECG)-based metric that may function as a proxy for cerebral blood flow (CBF). We investigated the spatio-temporal correlation between EBPi and epileptic seizure events. EBPi was computed retrospectively from clinical EEG and ECG data captured previously from 30 epilepsy patients during seizures. Significant EBPi changes were compared temporally with clinically defined ground-truth seizure onset and offset times. We also assessed the spatial correlation between EBPi metrics and clinically defined ground-truth seizure locations. A significant increase in EBPi was detected 10.5 s [-6, 53] (median [95% confidence interval (CI)]) after ground-truth seizure onset, and a significant decrease in EBPi was detected 5 s [-42, 74] (median [95% CI]) after ground-truth seizure offset. EBPi demonstrated a positive predictive value of 61.5% [33.3, 75] (median [95% CI]) and a sensitivity of 57.1% [38.5, 66.7] (median [95% CI]) for the detection of ground truth seizure locations. EBPi signals exhibited a temporal sensitivity to seizure events and in some cases were correlated spatially to the seizure location. Therefore, EBPi, which has been linked to CBF, appears to contain spatio-temporal information related to seizure activity and might have useful application in augmenting EEG data captured during seizures. |
| title | Spatio-Temporal Correlation of Epileptic Seizures with The Electrocardiography Brain Perfusion Index |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2403.17366 |