TY - JOUR
T1 - A pilot study on a patient with refractory headache
T2 - Personalized deep brain stimulation through stereoelectroencephalography
AU - Zhao, Hulin
AU - Zhang, Shuhua
AU - Wang, Yining
AU - Zhang, Chuting
AU - Gong, Zihua
AU - Zhang, Mingjie
AU - Dai, Wei
AU - Ran, Ye
AU - Shi, Wenbin
AU - Dang, Yuanyuan
AU - Liu, Aijun
AU - Zhang, Zhengbo
AU - Yeh, Chien Hung
AU - Dong, Zhao
AU - Yu, Shengyuan
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/2/16
Y1 - 2024/2/16
N2 - 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.
AB - 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.
KW - Clinical neuroscience
KW - Cognitive neuroscience
KW - Neurology
KW - Sensory neuroscience
KW - Techniques in neuroscience
UR - http://www.scopus.com/inward/record.url?scp=85183187244&partnerID=8YFLogxK
U2 - 10.1016/j.isci.2024.108847
DO - 10.1016/j.isci.2024.108847
M3 - Article
AN - SCOPUS:85183187244
SN - 2589-0042
VL - 27
JO - iScience
JF - iScience
IS - 2
M1 - 108847
ER -