• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Crossmodal Classification of Mu Rhythm Activity during Action Observation and Execution Suggests Specificity to Somatosensory Features of Actions.动作观察与执行过程中μ节律活动的跨模态分类表明其对动作体感特征具有特异性。
J Neurosci. 2017 Jun 14;37(24):5936-5947. doi: 10.1523/JNEUROSCI.3393-16.2017. Epub 2017 May 30.
2
Cross-modal repetition effects in the mu rhythm indicate tactile mirroring during action observation.μ节律中的跨模态重复效应表明动作观察期间存在触觉镜像。
Cortex. 2015 Feb;63:121-31. doi: 10.1016/j.cortex.2014.08.024. Epub 2014 Sep 11.
3
Do mirror neuron areas mediate mu rhythm suppression during imitation and action observation?镜像神经元区是否在模仿和动作观察期间介导 mu 节律抑制?
Int J Psychophysiol. 2013 Jul;89(1):99-105. doi: 10.1016/j.ijpsycho.2013.05.019. Epub 2013 Jun 10.
4
Mu rhythm desynchronization is specific to action execution and observation: Evidence from time-frequency and connectivity analysis.动作执行和观察时 Mu 节律去同步化具有特异性:时频和连通性分析的证据。
Neuroimage. 2019 Jan 1;184:496-507. doi: 10.1016/j.neuroimage.2018.09.053. Epub 2018 Sep 21.
5
Dynamics of the EEG power in the frequency and spatial domains during observation and execution of manual movements.在观察和执行手动运动时,脑电图功率在频率和空间域中的动力学。
Brain Res. 2013 May 6;1509:43-57. doi: 10.1016/j.brainres.2013.03.004. Epub 2013 Mar 13.
6
Simultaneous scalp recorded EEG and local field potentials from monkey ventral premotor cortex during action observation and execution reveals the contribution of mirror and motor neurons to the mu-rhythm.猴子腹侧运动前皮层在观察和执行动作时同时记录的头皮 EEG 和局部场电位揭示了镜像神经元和运动神经元对 mu 节律的贡献。
Neuroimage. 2018 Jul 15;175:22-31. doi: 10.1016/j.neuroimage.2018.03.037. Epub 2018 Mar 20.
7
A study of EEG mu neurofeedback during action observation.一项关于动作观察时 EEG 缪神经反馈的研究。
Exp Brain Res. 2020 May;238(5):1277-1284. doi: 10.1007/s00221-020-05808-9. Epub 2020 Apr 18.
8
Effect of visual orientation on mu suppression in children: a comparative EEG study with adults.视觉方位对儿童 mu 抑制的影响:与成人的比较脑电图研究。
J Physiol Anthropol. 2018 Jun 8;37(1):16. doi: 10.1186/s40101-018-0175-9.
9
Mirror-neuron system recruitment by action observation: effects of focal brain damage on mu suppression.镜像神经元系统通过动作观察进行招募:局灶性脑损伤对 mu 抑制的影响。
Neuroimage. 2014 Feb 15;87:127-37. doi: 10.1016/j.neuroimage.2013.10.019. Epub 2013 Oct 18.
10
Assessing human mirror activity with EEG mu rhythm: A meta-analysis.利用脑电图μ节律评估人类镜像活动:一项荟萃分析。
Psychol Bull. 2016 Mar;142(3):291-313. doi: 10.1037/bul0000031. Epub 2015 Dec 21.

引用本文的文献

1
The Bodily Appearance of a Virtual Partner Affects the Activity of the Action Observation and Action Monitoring Systems in a Minimally Interactive Task.虚拟伙伴的身体外观在最低限度互动任务中会影响动作观察和动作监测系统的活动。
eNeuro. 2025 Apr 17;12(4). doi: 10.1523/ENEURO.0390-24.2025. Print 2025 Apr.
2
Emergent Aspects of the Integration of Sensory and Motor Functions.感觉与运动功能整合的紧急情况
Brain Sci. 2025 Feb 7;15(2):162. doi: 10.3390/brainsci15020162.
3
Effects of observing own/others hand movement in different perspectives on mu rhythm suppression: an EEG study.不同视角下观察自身/他人手部运动对 mu 节律抑制的影响:一项 EEG 研究。
J Physiol Anthropol. 2024 Sep 4;43(1):21. doi: 10.1186/s40101-024-00369-0.
4
Segregated Dynamical Networks for Biological Motion Perception in the Mu and Beta Range Underlie Social Deficits in Autism.用于感知μ和β频段生物运动的分离动态网络是自闭症社交缺陷的基础。
Diagnostics (Basel). 2024 Feb 13;14(4):408. doi: 10.3390/diagnostics14040408.
5
Electrophysiological alterations during action semantic processing in Parkinson's disease.帕金森病动作语义加工过程中的电生理改变。
Neurobiol Aging. 2024 Apr;136:78-87. doi: 10.1016/j.neurobiolaging.2024.01.001. Epub 2024 Jan 10.
6
Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms.注意缺陷多动障碍静息态α波恢复的代偿机制
Front Comput Neurosci. 2022 Sep 7;16:883065. doi: 10.3389/fncom.2022.883065. eCollection 2022.
7
Mu-desynchronization, N400 and corticospinal excitability during observation of natural and anatomically unnatural finger movements.在观察自然和解剖学上不自然的手指运动过程中的μ波去同步化、N400和皮质脊髓兴奋性
Front Hum Neurosci. 2022 Sep 2;16:973229. doi: 10.3389/fnhum.2022.973229. eCollection 2022.
8
Differential beta desynchronisation responses to dynamic emotional facial expressions are attenuated in higher trait anxiety and autism.高特质焦虑和自闭症患者对动态情绪面部表情的差异β去同步化反应减弱。
Cogn Affect Behav Neurosci. 2022 Dec;22(6):1404-1420. doi: 10.3758/s13415-022-01015-x. Epub 2022 Jun 27.
9
Decoding motor expertise from fine-tuned oscillatory network organization.从微调的振荡网络组织中解码运动专长。
Hum Brain Mapp. 2022 Jun 15;43(9):2817-2832. doi: 10.1002/hbm.25818. Epub 2022 Mar 11.
10
EEG-Based Evidence of Mirror Neuron Activity from App-Mediated Stroke Patient Observation.基于 EEG 的镜像神经元活动证据来自应用介导的中风患者观察。
Medicina (Kaunas). 2021 Sep 17;57(9):979. doi: 10.3390/medicina57090979.

本文引用的文献

1
CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave.CoSMoMVPA:Matlab/GNU Octave中神经影像数据的多模态多变量模式分析
Front Neuroinform. 2016 Jul 22;10:27. doi: 10.3389/fninf.2016.00027. eCollection 2016.
2
Mu suppression - A good measure of the human mirror neuron system?μ波抑制——人类镜像神经元系统的良好指标?
Cortex. 2016 Sep;82:290-310. doi: 10.1016/j.cortex.2016.03.019. Epub 2016 Apr 15.
3
Beta band modulations underlie action representations for movement planning.β波段调制是运动计划动作表征的基础。
Neuroimage. 2016 Aug 1;136:197-207. doi: 10.1016/j.neuroimage.2016.05.027. Epub 2016 May 10.
4
Assessing human mirror activity with EEG mu rhythm: A meta-analysis.利用脑电图μ节律评估人类镜像活动:一项荟萃分析。
Psychol Bull. 2016 Mar;142(3):291-313. doi: 10.1037/bul0000031. Epub 2015 Dec 21.
5
MEG Multivariate Analysis Reveals Early Abstract Action Representations in the Lateral Occipitotemporal Cortex.脑磁图多元分析揭示枕颞外侧皮质早期抽象动作表征
J Neurosci. 2015 Dec 9;35(49):16034-45. doi: 10.1523/JNEUROSCI.1422-15.2015.
6
Emerging Object Representations in the Visual System Predict Reaction Times for Categorization.视觉系统中新兴的物体表征可预测分类反应时间。
PLoS Comput Biol. 2015 Jun 24;11(6):e1004316. doi: 10.1371/journal.pcbi.1004316. eCollection 2015 Jun.
7
Cross-modal repetition effects in the mu rhythm indicate tactile mirroring during action observation.μ节律中的跨模态重复效应表明动作观察期间存在触觉镜像。
Cortex. 2015 Feb;63:121-31. doi: 10.1016/j.cortex.2014.08.024. Epub 2014 Sep 11.
8
Mirror neurons: from origin to function.镜像神经元:从起源到功能。
Behav Brain Sci. 2014 Apr;37(2):177-92. doi: 10.1017/S0140525X13000903.
9
Some markers of mirroring appear intact in schizophrenia: evidence from mu suppression.一些镜像标记在精神分裂症中似乎未受影响:来自μ波抑制的证据。
Cogn Affect Behav Neurosci. 2014 Sep;14(3):1049-60. doi: 10.3758/s13415-013-0245-8.
10
What we know currently about mirror neurons.我们目前对镜像神经元的了解。
Curr Biol. 2013 Dec 2;23(23):R1057-62. doi: 10.1016/j.cub.2013.10.051.

动作观察与执行过程中μ节律活动的跨模态分类表明其对动作体感特征具有特异性。

Crossmodal Classification of Mu Rhythm Activity during Action Observation and Execution Suggests Specificity to Somatosensory Features of Actions.

作者信息

Coll Michel-Pierre, Press Clare, Hobson Hannah, Catmur Caroline, Bird Geoffrey

机构信息

Department of Experimental Psychology, University of Oxford, Oxford SE5 8AF, United Kingdom,

MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, University of London, London SE5 8AF, United Kingdom.

出版信息

J Neurosci. 2017 Jun 14;37(24):5936-5947. doi: 10.1523/JNEUROSCI.3393-16.2017. Epub 2017 May 30.

DOI:10.1523/JNEUROSCI.3393-16.2017
PMID:28559380
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6596509/
Abstract

The alpha mu rhythm (8-13 Hz) has been considered to reflect mirror neuron activity because it is attenuated by both action observation and action execution. The putative link between mirror neuron system activity and the mu rhythm has been used to study the involvement of the mirror system in a wide range of socio-cognitive processes and clinical disorders. However, previous research has failed to convincingly demonstrate the specificity of the mu rhythm, meaning that it is unclear whether the mu rhythm reflects mirror neuron activity. It also remains unclear whether mu rhythm suppression during action observation reflects the processing of motor or tactile information. In an attempt to assess the validity of the mu rhythm as a measure of mirror neuron activity, we used crossmodal pattern classification to assess the specificity of EEG mu rhythm response to action varying in terms of action type (whole-hand or precision grip), concurrent tactile stimulation (stimulation or no stimulation), or object use (transitive or intransitive actions) in 20 human participants. The main results reveal that above-chance crossmodal classification of mu rhythm activity was obtained in the central channels for tactile stimulation and action transitivity but not for action type. Furthermore, traditional univariate analyses applied to the same data were insensitive to differences between conditions. By calling into question the relationship between mirror system activity and the mu rhythm, these results have important implications for the use and interpretation of mu rhythm activity. The central alpha mu rhythm oscillation is a widely used measure of the human mirror neuron system that has been used to make important claims concerning cognitive functioning in health and in disease. Here, we used a novel multivariate analytical approach to show that crossmodal EEG mu rhythm responses primarily index the somatosensory features of actions, suggesting that the mu rhythm is not a valid measure of mirror neuron activity. Results may lead to the revision of the conclusions of many previous studies using this measure, and to the transition toward a theory of mu rhythm function that is more consistent with current models of sensory processing in the self and in others.

摘要

α-μ节律(8-13赫兹)被认为反映了镜像神经元活动,因为它在动作观察和动作执行时都会减弱。镜像神经元系统活动与μ节律之间的假定联系已被用于研究镜像系统在广泛的社会认知过程和临床疾病中的参与情况。然而,先前的研究未能令人信服地证明μ节律的特异性,这意味着尚不清楚μ节律是否反映镜像神经元活动。同样不清楚的是,动作观察期间μ节律的抑制是否反映了运动信息或触觉信息的处理。为了评估μ节律作为镜像神经元活动指标的有效性,我们使用跨模态模式分类来评估20名人类参与者中脑电图μ节律对动作类型(全手抓握或精准抓握)、同时进行的触觉刺激(刺激或无刺激)或物体使用(及物或不及物动作)不同的动作的反应特异性。主要结果表明,在中央通道中,对于触觉刺激和动作及物性,μ节律活动的跨模态分类高于随机水平,但对于动作类型则不然。此外,应用于相同数据的传统单变量分析对不同条件之间的差异不敏感。通过质疑镜像系统活动与μ节律之间的关系,这些结果对μ节律活动的使用和解释具有重要意义。中央α-μ节律振荡是一种广泛用于测量人类镜像神经元系统的方法,已被用于对健康和疾病中的认知功能做出重要论断。在这里,我们使用一种新颖的多变量分析方法表明,跨模态脑电图μ节律反应主要索引动作的体感特征,这表明μ节律不是镜像神经元活动的有效指标。结果可能导致许多先前使用该指标的研究结论的修订,并促使向一种与当前自我和他人感觉加工模型更一致的μ节律功能理论转变。