康复学报2025，Vol.35Issue(3)：250-259,10.DOI:10.3724/SP.J.1329.2025.03004
基于功能性近红外光谱技术探讨神经反馈运动训练对脑卒中患者脑功能网络的影响
Exploring the Effects of Motor Training with Neurofeedback on Brain Functional Network in Stroke Patients Based on Functional Near-Infrared Spectroscopy
摘要
Abstract
Objective To investigate the effects of motor training with neurofeedback on brain functional network in stroke patients using functional near-infrared spectroscopy(fNIRS).Methods Twenty patients with subacute stroke and hemiplegic motor impairment treated at the Affiliated Rehabilitation Hospital of National Research Center for Rehabilitation Technical Aids from No-vember 2023 to March 2024 were initially enrolled,with 5 dropouts.All patients sequentially performed three tasks:resting-state task(RST),limb coupling training task(LCT),and limb coupling with neurofeedback training(LC-NFT).During each task,a 40-channel fNIRS was used to measure oxyhemoglobin(HbO2)concentration changes in bilateral dorsolateral prefrontal cortex(DLP-FC),pre-supplementary motor area(PSMA),primary somatosensory cortex(PSC),primary motor cortex(M1),and occipital lobe(OL).Based on the fNIRS signals collected,phase locking value(PLV)was calculated to assess connectivity between each pair of channels,followed by computing the mean PLV values between regions of interest(ROIs)to evaluate functional connectivity charac-teristics under different task conditions.Statistical analyses were performed to compare differences in functional connectivity strength across the three task states.Graph theoretical analysis was applied to calculate network metrics,including clustering coeffi-cient,characteristic path length,and global efficiency,for further comparison.Pearson correlation analysis was performed to assess the relationship between clustering coefficient values of bilateral DLPFC and Fugl-Meyer Assessment for Upper(FMA-UE)and Lower Extremities(FMA-LE).Results Calculation of PLV value changes across three task states showed that,compared with RST,LC-NFT significantly increased PLV values in cDLPFC-cPSMA,cDLPFC-iPSC,cDLPFC-cM1,cDLPFC-iM1,cDLPFC-iOL,iDLPFC-cPSMA,iDLPFC-iM1,iDLPFC-cOL,iDLPFC-iOL,cPSMA-iPSMA,cPSMA-iM1,cPSMA-cOL,iPSMA-cM1,iPSMA-iM1,iPSMA-cOL,cM1-iM1,iM1-cOL,and cOC-iOL(P<0.05).Compared with LCT,LC-NFT showed higher PLV in cDLPFC-cPSMA,cDLPFC-iOL,iDLPFC-cPSMA,iDLPFC-iOL,cPSMA-cOL,cPSC-iOL,and cOL-iOL(P<0.05).Clustering coefficients in cDLPFC,iDLPFC,cPSMA,iPSMA,iPSC,cM1,iM1,cOC,and iOC were significantly higher during LC-NFT than in the RST(P<0.05),while clustering coefficients of iDLPFC,iM1,and cOC were significantly higher in the LCT than in the RST(P<0.05).LC-NFT exhibited longer characteristic path lengths than RST and LCT(P<0.05)and lower global efficiency than RST(P<0.05).Dur-ing LC-NFT,clustering coefficients of bilateral DLPFC were negatively correlated with FMA-UE and FMA-LE scores(P<0.05),whereas no linear correlations were observed during RST or LCT(P>0.05).Conclusion Motor training with neurofeedback effec-tively promotes reorganization of brain functional networks in stroke patients,demonstrating significant clinical value.关键词
脑卒中/功能性近红外光谱技术/神经反馈运动训练/脑功能网络/双侧背外侧前额叶皮层Key words
stroke/functional near-infrared spectroscopy/neurofeedback motor training/brain functional network/bilateral dorsolateral prefrontal cortex引用本文复制引用
王杨龙,霍聪聪,邵广健,陈天弟,李增勇..基于功能性近红外光谱技术探讨神经反馈运动训练对脑卒中患者脑功能网络的影响[J].康复学报,2025,35(3):250-259,10.基金项目
国家重点研发计划项目(2023YFC3603703) （2023YFC3603703）
国家自然科学基金面上项目(32271370) （32271370）
