{"title":"帕金森病患者步行准备过程中头皮脑电图的 Beta-gamma 相位-振幅耦合因步态冻结而异。","authors":"Yuki Kimoto, Naoki Tani, Takuto Emura, Takahiro Matsuhashi, Takuto Yamamoto, Yuya Fujita, Satoru Oshino, Koichi Hosomi, Hui Ming Khoo, Shimpei Miura, Takahiro Fujinaga, Takufumi Yanagisawa, Haruhiko Kishima","doi":"10.3389/fnhum.2024.1495272","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Despite using beta oscillations within the subthalamic nucleus as a biomarker of akinesia or rigidity in Parkinson's disease, a specific biomarker for freezing of gait (FOG) remains unclear. Recently, scalp phase-amplitude coupling (PAC) measured through scalp electroencephalography (EEG) has emerged as a promising tool for analyzing brain function. In this study, we examined whether PAC could be a biomarker for FOG.</p><p><strong>Methods: </strong>We enrolled 11 patients with Parkinson's disease and recorded scalp EEG in preparation for and during gait while simultaneously assessing motor function, including FOG. We investigated changes in cortical PAC during walking with and without FOG and examined its correlation with the postural instability and gait difficulty (PIGD) score.</p><p><strong>Results: </strong>Patient characteristics were as follows: mean age 59.1 ± 6.9 years, disease duration 13.9 ± 4.1 years, and seven men. Four trials were excluded from the analysis owing to artifacts. In the trials without FOG (<i>n</i> = 18), beta-gamma PAC in the sensorimotor area decreased during gait preparation (<i>p</i> = 0.011; linear mixed-effects model), which was not the case in trials with FOG (<i>n</i> = 6) (<i>p</i> = 0.64; linear mixed-effects model). Using a support vector machine, machine learning of PAC during preparation for walking predicted the presence of FOG with an accuracy of 71.2%. Conversely, PAC increased during walking in trials with FOG (<i>p</i> = 0.0042; linear mixed-effects model), and PAC 20 s after the start of walking was positively correlated with the PIGD score (correlation coefficient = 0.406, <i>p</i> = 0.032; Pearson's rank correlation).</p><p><strong>Conclusion: </strong>Beta-gamma PAC in the sensorimotor area during preparation for walking differs depending on the emergence of FOG. As gait symptoms worsened, beta-gamma PAC in the sensorimotor area during walking gradually increased. Cortical PAC may be a biomarker for FOG in Parkinson's disease and may lead to the development of strategies to prevent falls in the future.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"18 ","pages":"1495272"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11599176/pdf/","citationCount":"0","resultStr":"{\"title\":\"Beta-gamma phase-amplitude coupling of scalp electroencephalography during walking preparation in Parkinson's disease differs depending on the freezing of gait.\",\"authors\":\"Yuki Kimoto, Naoki Tani, Takuto Emura, Takahiro Matsuhashi, Takuto Yamamoto, Yuya Fujita, Satoru Oshino, Koichi Hosomi, Hui Ming Khoo, Shimpei Miura, Takahiro Fujinaga, Takufumi Yanagisawa, Haruhiko Kishima\",\"doi\":\"10.3389/fnhum.2024.1495272\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Despite using beta oscillations within the subthalamic nucleus as a biomarker of akinesia or rigidity in Parkinson's disease, a specific biomarker for freezing of gait (FOG) remains unclear. Recently, scalp phase-amplitude coupling (PAC) measured through scalp electroencephalography (EEG) has emerged as a promising tool for analyzing brain function. In this study, we examined whether PAC could be a biomarker for FOG.</p><p><strong>Methods: </strong>We enrolled 11 patients with Parkinson's disease and recorded scalp EEG in preparation for and during gait while simultaneously assessing motor function, including FOG. We investigated changes in cortical PAC during walking with and without FOG and examined its correlation with the postural instability and gait difficulty (PIGD) score.</p><p><strong>Results: </strong>Patient characteristics were as follows: mean age 59.1 ± 6.9 years, disease duration 13.9 ± 4.1 years, and seven men. Four trials were excluded from the analysis owing to artifacts. In the trials without FOG (<i>n</i> = 18), beta-gamma PAC in the sensorimotor area decreased during gait preparation (<i>p</i> = 0.011; linear mixed-effects model), which was not the case in trials with FOG (<i>n</i> = 6) (<i>p</i> = 0.64; linear mixed-effects model). Using a support vector machine, machine learning of PAC during preparation for walking predicted the presence of FOG with an accuracy of 71.2%. Conversely, PAC increased during walking in trials with FOG (<i>p</i> = 0.0042; linear mixed-effects model), and PAC 20 s after the start of walking was positively correlated with the PIGD score (correlation coefficient = 0.406, <i>p</i> = 0.032; Pearson's rank correlation).</p><p><strong>Conclusion: </strong>Beta-gamma PAC in the sensorimotor area during preparation for walking differs depending on the emergence of FOG. As gait symptoms worsened, beta-gamma PAC in the sensorimotor area during walking gradually increased. Cortical PAC may be a biomarker for FOG in Parkinson's disease and may lead to the development of strategies to prevent falls in the future.</p>\",\"PeriodicalId\":12536,\"journal\":{\"name\":\"Frontiers in Human Neuroscience\",\"volume\":\"18 \",\"pages\":\"1495272\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11599176/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Human Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fnhum.2024.1495272\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Human Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fnhum.2024.1495272","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
简介:尽管眼下核内的β振荡可作为帕金森病患者运动障碍或僵直的生物标志物,但冻结步态(FOG)的特定生物标志物仍不明确。最近,通过头皮脑电图(EEG)测量的头皮相位-振幅耦合(PAC)已成为分析大脑功能的一种有前途的工具。在这项研究中,我们探讨了 PAC 是否可以作为 FOG 的生物标记物:我们招募了 11 名帕金森病患者,在准备步态和步态过程中记录头皮脑电图,同时评估运动功能,包括 FOG。我们调查了有 FOG 和无 FOG 时步行过程中皮质 PAC 的变化,并研究了其与姿势不稳和步态困难(PIGD)评分的相关性:患者特征如下:平均年龄(59.1 ± 6.9)岁,病程(13.9 ± 4.1)年,男性 7 人。有四项试验因人为因素被排除在分析之外。在无 FOG 的试验中(n = 18),步态准备期间感觉运动区的β-γ PAC 有所下降(p = 0.011;线性混合效应模型),而在有 FOG 的试验中(n = 6),情况并非如此(p = 0.64;线性混合效应模型)。使用支持向量机对准备行走期间的 PAC 进行机器学习后,预测 FOG 存在的准确率为 71.2%。相反,在有 FOG 的试验中,步行过程中的 PAC 增加(p = 0.0042;线性混合效应模型),步行开始 20 秒后的 PAC 与 PIGD 评分呈正相关(相关系数 = 0.406,p = 0.032;皮尔逊秩相关):结论:步行准备过程中,感觉运动区的β-伽马PAC因FOG的出现而不同。随着步态症状的恶化,步行时感觉运动区的β-伽马PAC逐渐增加。皮质PAC可能是帕金森病患者FOG的生物标志物,并可能有助于开发预防未来跌倒的策略。
Beta-gamma phase-amplitude coupling of scalp electroencephalography during walking preparation in Parkinson's disease differs depending on the freezing of gait.
Introduction: Despite using beta oscillations within the subthalamic nucleus as a biomarker of akinesia or rigidity in Parkinson's disease, a specific biomarker for freezing of gait (FOG) remains unclear. Recently, scalp phase-amplitude coupling (PAC) measured through scalp electroencephalography (EEG) has emerged as a promising tool for analyzing brain function. In this study, we examined whether PAC could be a biomarker for FOG.
Methods: We enrolled 11 patients with Parkinson's disease and recorded scalp EEG in preparation for and during gait while simultaneously assessing motor function, including FOG. We investigated changes in cortical PAC during walking with and without FOG and examined its correlation with the postural instability and gait difficulty (PIGD) score.
Results: Patient characteristics were as follows: mean age 59.1 ± 6.9 years, disease duration 13.9 ± 4.1 years, and seven men. Four trials were excluded from the analysis owing to artifacts. In the trials without FOG (n = 18), beta-gamma PAC in the sensorimotor area decreased during gait preparation (p = 0.011; linear mixed-effects model), which was not the case in trials with FOG (n = 6) (p = 0.64; linear mixed-effects model). Using a support vector machine, machine learning of PAC during preparation for walking predicted the presence of FOG with an accuracy of 71.2%. Conversely, PAC increased during walking in trials with FOG (p = 0.0042; linear mixed-effects model), and PAC 20 s after the start of walking was positively correlated with the PIGD score (correlation coefficient = 0.406, p = 0.032; Pearson's rank correlation).
Conclusion: Beta-gamma PAC in the sensorimotor area during preparation for walking differs depending on the emergence of FOG. As gait symptoms worsened, beta-gamma PAC in the sensorimotor area during walking gradually increased. Cortical PAC may be a biomarker for FOG in Parkinson's disease and may lead to the development of strategies to prevent falls in the future.
期刊介绍:
Frontiers in Human Neuroscience is a first-tier electronic journal devoted to understanding the brain mechanisms supporting cognitive and social behavior in humans, and how these mechanisms might be altered in disease states. The last 25 years have seen an explosive growth in both the methods and the theoretical constructs available to study the human brain. Advances in electrophysiological, neuroimaging, neuropsychological, psychophysical, neuropharmacological and computational approaches have provided key insights into the mechanisms of a broad range of human behaviors in both health and disease. Work in human neuroscience ranges from the cognitive domain, including areas such as memory, attention, language and perception to the social domain, with this last subject addressing topics, such as interpersonal interactions, social discourse and emotional regulation. How these processes unfold during development, mature in adulthood and often decline in aging, and how they are altered in a host of developmental, neurological and psychiatric disorders, has become increasingly amenable to human neuroscience research approaches. Work in human neuroscience has influenced many areas of inquiry ranging from social and cognitive psychology to economics, law and public policy. Accordingly, our journal will provide a forum for human research spanning all areas of human cognitive, social, developmental and translational neuroscience using any research approach.