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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2025
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| Online Access: | https://arxiv.org/abs/2510.13815 |
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| _version_ | 1866912651048648704 |
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| author | Uppalapati, Khartik Yimenicioglu, Bora Abdulkareem, Shakeel Uppalapati, Bhavya Kamath, Viraj Eftekhari, Adan Ayyappan, Pranav |
| author_facet | Uppalapati, Khartik Yimenicioglu, Bora Abdulkareem, Shakeel Uppalapati, Bhavya Kamath, Viraj Eftekhari, Adan Ayyappan, Pranav |
| contents | Objective biomarkers for staging pediatric epileptic encephalopathies are scarce. We revisited a large open repository -- the CHB-MIT Scalp EEG Database, 22 subjects aged 1.5-19 y recorded at 256 Hz under the 10-20 montage -- to derive and validate a compact quantitative index, DS-Qi = (theta/alpha)_posterior + (1 - wPLI_beta). The first term captures excess posterior slow-wave power, a recognized marker of impaired cortical maturation; the second employs the debiased weighted Phase-Lag Index to measure loss of beta-band synchrony, robust to volume conduction and small-sample bias. In 30-min awake, eyes-open segments, DS-Qi was 1.69 +/- 0.21 in epilepsy versus 1.23 +/- 0.17 in age-matched normative EEG (Cohen's d = 1.1, p < 0.001). A logistic model trained with 10 x 10-fold cross-validation yielded an AUC of 0.90 (95% CI 0.81-0.97) and optimal sensitivity/specificity of 86%/83% at DS-Qi = 1.46. Across multi-day recordings, test-retest reliability was ICC = 0.74, and higher DS-Qi correlated with greater seizure burden (rho = 0.58, p = 0.004). These results establish DS-Qi as a reproducible, single-number summary of electrophysiological severity that can be computed from short scalp EEG segments using only posterior and standard 10-20 electrodes. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2510_13815 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Two-Feature Quantitative EEG Index of Pediatric Epilepsy Severity: External Pre-Validation on CHB-MIT and Roadmap to Dravet Cohorts Uppalapati, Khartik Yimenicioglu, Bora Abdulkareem, Shakeel Uppalapati, Bhavya Kamath, Viraj Eftekhari, Adan Ayyappan, Pranav Neurons and Cognition Objective biomarkers for staging pediatric epileptic encephalopathies are scarce. We revisited a large open repository -- the CHB-MIT Scalp EEG Database, 22 subjects aged 1.5-19 y recorded at 256 Hz under the 10-20 montage -- to derive and validate a compact quantitative index, DS-Qi = (theta/alpha)_posterior + (1 - wPLI_beta). The first term captures excess posterior slow-wave power, a recognized marker of impaired cortical maturation; the second employs the debiased weighted Phase-Lag Index to measure loss of beta-band synchrony, robust to volume conduction and small-sample bias. In 30-min awake, eyes-open segments, DS-Qi was 1.69 +/- 0.21 in epilepsy versus 1.23 +/- 0.17 in age-matched normative EEG (Cohen's d = 1.1, p < 0.001). A logistic model trained with 10 x 10-fold cross-validation yielded an AUC of 0.90 (95% CI 0.81-0.97) and optimal sensitivity/specificity of 86%/83% at DS-Qi = 1.46. Across multi-day recordings, test-retest reliability was ICC = 0.74, and higher DS-Qi correlated with greater seizure burden (rho = 0.58, p = 0.004). These results establish DS-Qi as a reproducible, single-number summary of electrophysiological severity that can be computed from short scalp EEG segments using only posterior and standard 10-20 electrodes. |
| title | A Two-Feature Quantitative EEG Index of Pediatric Epilepsy Severity: External Pre-Validation on CHB-MIT and Roadmap to Dravet Cohorts |
| topic | Neurons and Cognition |
| url | https://arxiv.org/abs/2510.13815 |