Research｜研究

我們的研究橫跨神經科學與物理治療，聚焦疼痛與頭痛的機轉與臨床轉譯，主要方向：

1. 偏頭痛與頭痛的腦部機轉 (EEG神經電生理)

以靜息態與誘發電位的腦電圖，尋找偏頭痛的「腦部指紋」，並用機器學習辨識慢性偏頭痛、預測疾病狀態。

2. 疼痛敏感度與量化感覺測試

建立健康族群的疼痛閾值常模，探討機械痛閾與偏頭痛頻率、週期的關係、以及疼痛敏感度如何預測治療成效。

3. 神經調控與物理治療介入

運用經顱電/磁刺激 (tDCS/rTMS) 與感覺電刺激結合動作訓練，探索調節大腦活性、改善疼痛與動作功能的非侵入性療法。

4. 新型偏頭痛治療的機轉與療效預測

研究肉毒桿菌素 (onabotulinumtoxinA) 與抗 CGRP 單株抗體等新治療的作用機轉，並找出可預測療效的生物標記。

5. 偏頭痛的頸部負擔與穿戴式數位生物標記

用創新穿戴式無線射頻肌肉感測 (RMG) 捕捉深層頸部肌肉活動與節段性微觀運動，開發數位生物標記；結合 QST、生化數值與腦影像，驗證其反映三叉神經頸複合體中樞敏感化、以及作為療效預測指標的價值。

Bridging neuroscience and physical therapy, our work focuses on the mechanisms and clinical translation of pain and headache:

1. Brain mechanisms of migraine & headache (EEG neurophysiology)

Using resting-state and evoked EEG/MEG to identify brain signatures of migraine, and machine learning to detect chronic migraine and predict disease state.

2. Pain sensitivity & quantitative sensory testing (QST)

 Establishing normative pain thresholds, relating mechanical pain thresholds to migraine frequency and phase, and using pain sensitivity to predict treatment outcomes.

3. Neuromodulation & physical therapy

Applying tDCS/rTMS and sensory electrical stimulation with motor training as non-invasive approaches to modulate brain activity and improve pain and motor function.

4. Mechanisms & predictors of novel migraine treatments

Investigating onabotulinumtoxinA and anti-CGRP monoclonal antibodies, and identifying biomarkers that predict treatment response.

5. Neck burden in migraine & wearable digital biomarkers 

Using wearable Radiomyography (RMG), we develop a digital biomarker of migraine-related neck burden and test it as a peripheral proxy for trigeminocervical complex (TCC) central sensitization and a predictor of treatment response.