{"title":"功能和感觉电刺激在帕金森病闭环震颤抑制中的皮层差异反应。","authors":"Xiaoqi Zhao;Tinglan Huang;Mengyue Jin;Hongbo Zhao;Yu Shi;Yanlin Wang;Xiao Shen;Zhen Li;Qingqing Shi;Xiaodong Zhu;Lin Meng","doi":"10.1109/TNSRE.2025.3591134","DOIUrl":null,"url":null,"abstract":"Functional electrical stimulation (FES) and sensory electrical stimulation (SES) are widely used in tremor suppression for Parkinson’s disease (PD), however, their therapeutic efficacy varies significantly across individuals. This study investigated the differential cortical effects of FES and SES during closed-loop tremor suppression in PD patient, aiming to identify neurophysiological biomarkers for guiding personalized neuro modulation strategies. We developed an inertial based closed-loop tremor suppression system that delivers out-of-phase FES and continuous SES based on real-time tremor detection. Fifteen PD patients were recruited in tremor suppression trials while surface electroencephalography (EEG) and inertial-based movements of hand and forearm were measured. Both FES and SES significantly reduced tremor amplitude, with FES showing overall greater suppression (hand suppression rate: 60.72% vs. 48.31%, p >0.05; forearm suppression rate: 62.25% vs. 54.41%, p >0.05) where substantial inter-individual variability was observed. EEG analysis revealed that FES induced contralateral beta-band event-related desynchronization (<inline-formula> <tex-math>$\\beta $ </tex-math></inline-formula>-ERD), whereas SES elicited beta-band event-related synchronization (<inline-formula> <tex-math>$\\beta $ </tex-math></inline-formula>-ERS). These distinct cortical response patterns were significantly correlated with tremor suppression performance (FES <inline-formula> <tex-math>$\\beta $ </tex-math></inline-formula>-ERD: r = -0.629, p = 0.012; SES <inline-formula> <tex-math>$\\beta $ </tex-math></inline-formula>-ERS: r = 0.679, p = 0.005). Resting-state spectral analysis further revealed modality-specific changes in alpha power across sensorimotor regions. These findings revealed functional neurodynamic signatures associated with individual responsiveness to stimulation. The observed <inline-formula> <tex-math>$\\beta $ </tex-math></inline-formula>-band oscillatory responses may serve as candidate biomarkers for predicting individual treatment outcomes, offering a potentially biomarker-guided approach for personalized neuromodulation for PD tremor.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"2814-2822"},"PeriodicalIF":5.2000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11087652","citationCount":"0","resultStr":"{\"title\":\"Differential Cortical Responses of Functional and Sensory Electrical Stimulation in Closed-Loop Tremor Suppression for Parkinson’s Disease\",\"authors\":\"Xiaoqi Zhao;Tinglan Huang;Mengyue Jin;Hongbo Zhao;Yu Shi;Yanlin Wang;Xiao Shen;Zhen Li;Qingqing Shi;Xiaodong Zhu;Lin Meng\",\"doi\":\"10.1109/TNSRE.2025.3591134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Functional electrical stimulation (FES) and sensory electrical stimulation (SES) are widely used in tremor suppression for Parkinson’s disease (PD), however, their therapeutic efficacy varies significantly across individuals. This study investigated the differential cortical effects of FES and SES during closed-loop tremor suppression in PD patient, aiming to identify neurophysiological biomarkers for guiding personalized neuro modulation strategies. We developed an inertial based closed-loop tremor suppression system that delivers out-of-phase FES and continuous SES based on real-time tremor detection. Fifteen PD patients were recruited in tremor suppression trials while surface electroencephalography (EEG) and inertial-based movements of hand and forearm were measured. Both FES and SES significantly reduced tremor amplitude, with FES showing overall greater suppression (hand suppression rate: 60.72% vs. 48.31%, p >0.05; forearm suppression rate: 62.25% vs. 54.41%, p >0.05) where substantial inter-individual variability was observed. EEG analysis revealed that FES induced contralateral beta-band event-related desynchronization (<inline-formula> <tex-math>$\\\\beta $ </tex-math></inline-formula>-ERD), whereas SES elicited beta-band event-related synchronization (<inline-formula> <tex-math>$\\\\beta $ </tex-math></inline-formula>-ERS). These distinct cortical response patterns were significantly correlated with tremor suppression performance (FES <inline-formula> <tex-math>$\\\\beta $ </tex-math></inline-formula>-ERD: r = -0.629, p = 0.012; SES <inline-formula> <tex-math>$\\\\beta $ </tex-math></inline-formula>-ERS: r = 0.679, p = 0.005). Resting-state spectral analysis further revealed modality-specific changes in alpha power across sensorimotor regions. These findings revealed functional neurodynamic signatures associated with individual responsiveness to stimulation. The observed <inline-formula> <tex-math>$\\\\beta $ </tex-math></inline-formula>-band oscillatory responses may serve as candidate biomarkers for predicting individual treatment outcomes, offering a potentially biomarker-guided approach for personalized neuromodulation for PD tremor.\",\"PeriodicalId\":13419,\"journal\":{\"name\":\"IEEE Transactions on Neural Systems and Rehabilitation Engineering\",\"volume\":\"33 \",\"pages\":\"2814-2822\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11087652\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Neural Systems and Rehabilitation Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11087652/\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11087652/","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
摘要
功能电刺激(FES)和感觉电刺激(SES)被广泛应用于帕金森病(PD)的震颤抑制,但其治疗效果在个体间差异很大。本研究探讨了FES和SES在PD患者闭环震颤抑制过程中的皮质差异效应,旨在确定神经生理生物标志物,指导个性化的神经调节策略。我们开发了一种基于惯性的闭环震颤抑制系统,该系统可以提供基于实时震颤检测的非相位FES和连续SES。我们招募了15名PD患者进行震颤抑制试验,同时测量了表面脑电图(EEG)和手部和前臂的惯性运动。FES和SES均能显著降低震颤幅度,FES总体上表现出更大的抑制作用(手抑制率:60.72% vs. 48.31%, p < 0.05;前臂抑制率:62.25% vs. 54.41%, p < 0.05),观察到显著的个体间差异。脑电图分析显示,FES诱发对侧β带事件相关去同步(β-ERD),而SES诱发对侧β带事件相关同步(β-ERS)。这些不同的皮质反应模式与震颤抑制性能显著相关(FES β-ERD: r = -0.629, p = 0.012;SES β-ERS: r = 0.679, p = 0.005)。静息状态频谱分析进一步揭示了感觉运动区域α功率的模式特异性变化。这些发现揭示了与个体对刺激的反应有关的功能性神经动力学特征。观察到的β带振荡反应可以作为预测个体治疗结果的候选生物标志物,为PD震颤的个性化神经调节提供了潜在的生物标志物指导方法。
Differential Cortical Responses of Functional and Sensory Electrical Stimulation in Closed-Loop Tremor Suppression for Parkinson’s Disease
Functional electrical stimulation (FES) and sensory electrical stimulation (SES) are widely used in tremor suppression for Parkinson’s disease (PD), however, their therapeutic efficacy varies significantly across individuals. This study investigated the differential cortical effects of FES and SES during closed-loop tremor suppression in PD patient, aiming to identify neurophysiological biomarkers for guiding personalized neuro modulation strategies. We developed an inertial based closed-loop tremor suppression system that delivers out-of-phase FES and continuous SES based on real-time tremor detection. Fifteen PD patients were recruited in tremor suppression trials while surface electroencephalography (EEG) and inertial-based movements of hand and forearm were measured. Both FES and SES significantly reduced tremor amplitude, with FES showing overall greater suppression (hand suppression rate: 60.72% vs. 48.31%, p >0.05; forearm suppression rate: 62.25% vs. 54.41%, p >0.05) where substantial inter-individual variability was observed. EEG analysis revealed that FES induced contralateral beta-band event-related desynchronization ($\beta $ -ERD), whereas SES elicited beta-band event-related synchronization ($\beta $ -ERS). These distinct cortical response patterns were significantly correlated with tremor suppression performance (FES $\beta $ -ERD: r = -0.629, p = 0.012; SES $\beta $ -ERS: r = 0.679, p = 0.005). Resting-state spectral analysis further revealed modality-specific changes in alpha power across sensorimotor regions. These findings revealed functional neurodynamic signatures associated with individual responsiveness to stimulation. The observed $\beta $ -band oscillatory responses may serve as candidate biomarkers for predicting individual treatment outcomes, offering a potentially biomarker-guided approach for personalized neuromodulation for PD tremor.
期刊介绍:
Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.