ETD-XAI: An explainable two-stage EEG-biochemical framework for pediatric tic disorders
Liping Li1, Jianping Wang2, Kunying Zhou3
1Department of Pediatrics, Xinxiang Central Hospital, Xinxiang, Henan, 453000 China; The Fourth Clinical College, Henan Medical University, Xinxiang, Henan, 453003 China.
This study introduces an interpretable framework integrating EEG and vitamin D levels for assessing pediatric tic disorders. The model shows promising results for screening and grading tic disorder severity in children.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Pediatric Neurology
Background:
- Current pediatric tic disorder assessment relies on behavioral observation and rating scales, lacking objective physiological biomarkers.
- Existing EEG and vitamin D-calcium-phosphorus indicators offer potential but suffer from limited subject-level interpretation.
- There is a need for an interpretable, physiology-informed framework for objective pediatric tic disorder assessment.
Purpose of the Study:
- To develop an explainable, two-stage assessment framework (ETD-XAI) for pediatric tic disorder.
- To integrate subject-level EEG neurophysiological features with vitamin D-calcium-phosphorus metabolic indicators and clinical variables.
- To provide interpretable, physiology-informed assessment for subject-level analysis.
Main Methods:
- Proposed the explainable two-stage assessment framework with XAI (ETD-XAI).
- Integrated subject-level EEG features, vitamin D-calcium-phosphorus indicators, and clinical variables.
- Utilized training-fold-restricted explainability for feature contribution, modality weighting, and cross-modal interaction modeling.
Main Results:
- ETD-XAI demonstrated feasible performance in cross-validation and independent validation (AUROC 0.90-0.92 for screening, 0.87-0.90 for severity grading).
- SHAP analysis identified β/γ-band EEG activity, complexity features, and serum 25-hydroxyvitamin D as key contributors.
- Feature contributions showed severity-related gradients and age-stratified consistency.
Conclusions:
- ETD-XAI shows feasibility for interpretable multimodal modeling in pediatric tic disorder assessment.
- The framework provides subject-level, physiology-informed insights.
- Further validation in larger cohorts and clinical evaluation are necessary before clinical application.
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