{"title":"脑卒中后手部康复中触觉反馈对功能连通性和皮层激活的影响:一项近红外光谱研究。","authors":"Lingling Chen, Fanyao Meng, Congcong Huo, Guangjian Shao, Guoxin Pan, Xuemin Zhang, Simin Zhang, Zengyong Li","doi":"10.1364/BOE.541820","DOIUrl":null,"url":null,"abstract":"<p><p>Stroke-induced hand motor impairments have a significant impact on the daily lives of patients. Motor rehabilitation with tactile feedback (TF) shows promise as an effective rehabilitation intervention; however, its neural mechanisms are still not fully understood. The main objective of this study was to examine the effect of tactile feedback on brain functional responses during a single hand movement session in post-stroke patients, using functional near-infrared spectroscopy (fNIRS). The changes in oxy- and deoxy-hemoglobin concentrations were recorded from the bilateral prefrontal, motor, and occipital areas in 13 post-stroke patients in the subacute recovery phase and 15 healthy controls during a hand-grasping task with TF and no-TF. The cortical activation responses, functional connectivity, and brain functional network properties were calculated to explore the specific cortical response in post-stroke patients and healthy controls during the two grasping tasks. The results showed that post-stroke patients exhibited increased hemodynamic responses in the motor cortex during grasping tasks with TF. However, brain activation in the prefrontal cortex, left sensorimotor cortex, and right premotor area was significantly lower in post-stroke patients compared to healthy controls (p < 0.05). Additionally, post-stroke patients exhibited poorer overall brain network function, with significant reductions in both clustering coefficient (p = 0.0016), reflecting local information transfer efficiency, and transitivity (p = 0.0053), representing global network integration. A significant positive correlation was observed between the clustering coefficient and grip strength metrics (r = 0.592, p = 0.033), as well as between transitivity and grip strength (r = 0.590, p = 0.034) in post-stroke patients, indicating that greater impairments were associated with reduced overall brain functional network transmission efficiency. These findings indicated that TF can modulate brain activity in areas associated with motor learning and sensorimotor integration, providing evidence for its potential as a valuable tool in stroke rehabilitation.</p>","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"16 2","pages":"643-656"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11828458/pdf/","citationCount":"0","resultStr":"{\"title\":\"Effects of tactile feedback in post-stroke hand rehabilitation on functional connectivity and cortical activation: an fNIRS study.\",\"authors\":\"Lingling Chen, Fanyao Meng, Congcong Huo, Guangjian Shao, Guoxin Pan, Xuemin Zhang, Simin Zhang, Zengyong Li\",\"doi\":\"10.1364/BOE.541820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Stroke-induced hand motor impairments have a significant impact on the daily lives of patients. Motor rehabilitation with tactile feedback (TF) shows promise as an effective rehabilitation intervention; however, its neural mechanisms are still not fully understood. The main objective of this study was to examine the effect of tactile feedback on brain functional responses during a single hand movement session in post-stroke patients, using functional near-infrared spectroscopy (fNIRS). The changes in oxy- and deoxy-hemoglobin concentrations were recorded from the bilateral prefrontal, motor, and occipital areas in 13 post-stroke patients in the subacute recovery phase and 15 healthy controls during a hand-grasping task with TF and no-TF. The cortical activation responses, functional connectivity, and brain functional network properties were calculated to explore the specific cortical response in post-stroke patients and healthy controls during the two grasping tasks. The results showed that post-stroke patients exhibited increased hemodynamic responses in the motor cortex during grasping tasks with TF. However, brain activation in the prefrontal cortex, left sensorimotor cortex, and right premotor area was significantly lower in post-stroke patients compared to healthy controls (p < 0.05). Additionally, post-stroke patients exhibited poorer overall brain network function, with significant reductions in both clustering coefficient (p = 0.0016), reflecting local information transfer efficiency, and transitivity (p = 0.0053), representing global network integration. A significant positive correlation was observed between the clustering coefficient and grip strength metrics (r = 0.592, p = 0.033), as well as between transitivity and grip strength (r = 0.590, p = 0.034) in post-stroke patients, indicating that greater impairments were associated with reduced overall brain functional network transmission efficiency. 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引用次数: 0
摘要
脑卒中引起的手部运动障碍对患者的日常生活有重大影响。运动康复与触觉反馈(TF)是一种有效的康复干预;然而,其神经机制尚不完全清楚。本研究的主要目的是利用功能近红外光谱(fNIRS)研究触觉反馈对中风后患者单手运动期间脑功能反应的影响。记录了13例卒中后亚急性恢复期患者和15例健康对照者在有TF和无TF的手抓任务中双侧前额叶、运动区和枕区氧和脱氧血红蛋白浓度的变化。计算脑卒中后患者和健康对照在两种抓取任务中的皮层激活反应、功能连通性和脑功能网络特性,以探讨脑卒中后患者和健康对照在两种抓取任务中的特异性皮层反应。结果表明,脑卒中后患者在有TF的抓握任务中表现出增强的运动皮层血流动力学反应。然而,脑卒中后患者的前额叶皮层、左侧感觉运动皮层和右侧运动前区脑活动明显低于健康对照组(p < 0.05)。此外,脑卒中后患者整体脑网络功能较差,反映局部信息传递效率的聚类系数(p = 0.0016)和代表全局网络整合的传递性(p = 0.0053)均显著降低。脑卒中后患者的聚类系数与握力指标呈显著正相关(r = 0.592, p = 0.033),传递性与握力指标呈显著正相关(r = 0.590, p = 0.034),表明脑功能网络整体传递效率降低与脑功能受损程度越高相关。这些发现表明,TF可以调节与运动学习和感觉运动整合相关的大脑区域的活动,为其作为卒中康复的有价值工具的潜力提供了证据。
Effects of tactile feedback in post-stroke hand rehabilitation on functional connectivity and cortical activation: an fNIRS study.
Stroke-induced hand motor impairments have a significant impact on the daily lives of patients. Motor rehabilitation with tactile feedback (TF) shows promise as an effective rehabilitation intervention; however, its neural mechanisms are still not fully understood. The main objective of this study was to examine the effect of tactile feedback on brain functional responses during a single hand movement session in post-stroke patients, using functional near-infrared spectroscopy (fNIRS). The changes in oxy- and deoxy-hemoglobin concentrations were recorded from the bilateral prefrontal, motor, and occipital areas in 13 post-stroke patients in the subacute recovery phase and 15 healthy controls during a hand-grasping task with TF and no-TF. The cortical activation responses, functional connectivity, and brain functional network properties were calculated to explore the specific cortical response in post-stroke patients and healthy controls during the two grasping tasks. The results showed that post-stroke patients exhibited increased hemodynamic responses in the motor cortex during grasping tasks with TF. However, brain activation in the prefrontal cortex, left sensorimotor cortex, and right premotor area was significantly lower in post-stroke patients compared to healthy controls (p < 0.05). Additionally, post-stroke patients exhibited poorer overall brain network function, with significant reductions in both clustering coefficient (p = 0.0016), reflecting local information transfer efficiency, and transitivity (p = 0.0053), representing global network integration. A significant positive correlation was observed between the clustering coefficient and grip strength metrics (r = 0.592, p = 0.033), as well as between transitivity and grip strength (r = 0.590, p = 0.034) in post-stroke patients, indicating that greater impairments were associated with reduced overall brain functional network transmission efficiency. These findings indicated that TF can modulate brain activity in areas associated with motor learning and sensorimotor integration, providing evidence for its potential as a valuable tool in stroke rehabilitation.
期刊介绍:
The journal''s scope encompasses fundamental research, technology development, biomedical studies and clinical applications. BOEx focuses on the leading edge topics in the field, including:
Tissue optics and spectroscopy
Novel microscopies
Optical coherence tomography
Diffuse and fluorescence tomography
Photoacoustic and multimodal imaging
Molecular imaging and therapies
Nanophotonic biosensing
Optical biophysics/photobiology
Microfluidic optical devices
Vision research.