A Machine Learning Framework for EEG-Based Prediction of Treatment Efficacy in Chronic Neck Pain

In three linesML framework using EEG to predict treatment efficacy in chronic neck pain patients. Rigorous preprocessing pipeline (baseline removal, ICA, spectral analysis) applied to resting-state and motor EEG. Systematic review of 763 studies (16 patient, 47 healthy-control studies) to inform post-processing strategy.

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