| Autor: |
Hulin Zhao, Shuhua Zhang, Yining Wang, Chuting Zhang, Zihua Gong, Mingjie Zhang, Wei Dai, Ye Ran, Wenbin Shi, Yuanyuan Dang, Aijun Liu, Zhengbo Zhang, Chien-Hung Yeh, Zhao Dong, Shengyuan Yu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
iScience, Vol 27, Iss 2, Pp 108847- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2589-0042 |
| DOI: |
10.1016/j.isci.2024.108847 |
| Popis: |
Summary: The integration of stereoelectroencephalography with therapeutic deep brain stimulation (DBS) holds immense promise as a viable approach for precise treatment of refractory disorders, yet it has not been explored in the domain of headache or pain management. Here, we implanted 14 electrodes in a patient with refractory migraine and integrated clinical assessment and electrophysiological data to investigate personalized targets for refractory headache treatment. Using statistical analyses and cross-validated machine-learning models, we identified high-frequency oscillations in the right nucleus accumbens as a critical headache-related biomarker. Through a systematic bipolar stimulation approach and blinded sham-controlled survey, combined with real-time electrophysiological data, we successfully identified the left dorsal anterior cingulate cortex as the optimal target for the best potential treatment. In this pilot study, the concept of the herein-proposed data-driven approach to optimizing precise and personalized treatment strategies for DBS may create a new frontier in the field of refractory headache and even pain disorders. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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