Prediction of rTMS Efficacy in Patients With Essential Tremor: Biomarkers From Individual Resting-State EEG Network

被引:0
作者
He, Runyang [1 ,2 ]
Shi, Xue [3 ,4 ]
Jiang, Lin [1 ,2 ]
Zhu, Yan [1 ,2 ]
Pei, Zian [1 ,2 ,5 ]
Zhu, Lin [3 ,4 ]
Su, Xiaolin [3 ,4 ]
Yao, Dezhong [6 ,7 ]
Xu, Peng [1 ,2 ,7 ]
Guo, Yi [4 ,5 ,8 ]
Li, Fali [1 ,2 ,7 ,9 ]
机构
[1] Univ Elect Sci & Technol China, Clin Hosp, Chengdu Brain Sci Inst, MOE Key Lab Neuroinformat, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Ctr Informat Med, Sch Life Sci & Technol, Chengdu 611731, Peoples R China
[3] Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Neurol, Guangzhou 510632, Peoples R China
[4] Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen 518020, Peoples R China
[5] Shenzhen Bay Lab, Shenzhen 518020, Peoples R China
[6] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
[7] Chinese Acad Med Sci, Res Unit NeuroInformat, Chengdu 610072, Peoples R China
[8] Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Neurol, Guangzhou 510632, Peoples R China
[9] Univ Macau, Fac Sci & Technol, Dept Elect & Comp Engn, Macau, Peoples R China
基金
中国国家自然科学基金;
关键词
Electroencephalography; Cerebellum; Hospitals; Recording; Predictive models; Neuromodulation; Life sciences; Biomarkers; Protocols; Motors; Essential tremor; multivariable linear predicting model; neuromodulation; repetitive transcranial magnetic stimulation; resting-state network; TRANSCRANIAL MAGNETIC STIMULATION; 3 ELDERLY POPULATIONS; CONNECTIVITY; CEREBELLUM; SCALE; EXCITABILITY; DISEASE;
D O I
10.1109/TNSRE.2024.3469576
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The pathogenesis of essential tremor (ET) remains unclear, and the efficacy of related drug treatment is inadequate for proper tremor control. Hence, in the current study, consecutive low-frequency repetitive transcranial magnetic stimulation (rTMS) modulation on cerebellum was accomplished in a population of ET patients, along with pre- and post-treatment resting-state electroencephalogram (EEG) networks being constructed. The results primarily clarified the decreasing of resting-state network interactions occurring in ET, especially the weaker frontal-parietal connectivity, compared to healthy individuals. While after the rTMS stimulation, promotions in both network connectivity and properties, as well as clinical scales, were identified. Furthermore, significant correlations between network characteristics and clinical scale scores enabled the development of predictive models for assessing rTMS intervention efficacy. Using a multivariable linear model, clinical scales after one-month rTMS treatment were accurately predicted, underscoring the potential of brain networks in evaluating rTMS effectiveness for ET. The findings consistently demonstrated that repetitive low-frequency rTMS neuromodulation on cerebellum can significantly improve the manifestations of ET, and individual networks will be reliable tools for evaluating the rTMS efficacy, thereby guiding personalized treatment strategies for ET patients.
引用
收藏
页码:3719 / 3728
页数:10
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