• 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

健康受试者中成功的双向 SMR 反馈训练对客观和主观睡眠无影响。

No Effects of Successful Bidirectional SMR Feedback Training on Objective and Subjective Sleep in Healthy Subjects.

机构信息

Netherlands Organisation for Applied Scientific Research (TNO), Kampweg 5, 3769 ZG, Soesterberg, The Netherlands.

Research Institute Brainclinics, Nijmegen, The Netherlands.

出版信息

Appl Psychophysiol Biofeedback. 2018 Mar;43(1):37-47. doi: 10.1007/s10484-017-9384-y.

DOI:10.1007/s10484-017-9384-y
PMID:29090400
Abstract

There is a growing interest in the application of psychophysiological signals in more applied settings. Unidirectional sensory motor rhythm-training (SMR) has demonstrated consistent effects on sleep. In this study the main aim was to analyze to what extent participants could gain voluntary control over sleep-related parameters and secondarily to assess possible influences of this training on sleep metrics. Bidirectional training of SMR as well as heart rate variability (HRV) was used to assess the feasibility of training these parameters as possible brain computer interfaces (BCI) signals, and assess effects normally associated with unidirectional SMR training such as the influence on objective and subjective sleep parameters. Participants (n = 26) received between 11 and 21 training sessions during 7 weeks in which they received feedback on their personalized threshold for either SMR or HRV activity, for both up- and down regulation. During a pre- and post-test a sleep log was kept and participants used a wrist actigraph. Participants were asked to take an afternoon nap on the first day at the testing facility. During napping, sleep spindles were assessed as well as self-reported sleep measures of the nap. Although the training demonstrated successful learning to increase and decrease SMR and HRV activity, no effects were found of bidirectional training on sleep spindles, actigraphy, sleep diaries, and self-reported sleep quality. As such it is concluded that bidirectional SMR and HRV training can be safely used as a BCI and participants were able to improve their control over physiological signals with bidirectional training, whereas the application of bidirectional SMR and HRV training did not lead to significant changes of sleep quality in this healthy population.

摘要

人们对将心理生理信号应用于更实际的环境越来越感兴趣。单向感觉运动节律训练(SMR)已被证明对睡眠有一致的影响。在这项研究中,主要目的是分析参与者在多大程度上能够获得对睡眠相关参数的自愿控制,其次是评估这种训练对睡眠指标的可能影响。双向 SMR 和心率变异性(HRV)的训练用于评估训练这些参数作为可能的脑机接口(BCI)信号的可行性,并评估通常与单向 SMR 训练相关的影响,例如对客观和主观睡眠参数的影响。26 名参与者在 7 周内接受了 11 到 21 次训练,在此期间,他们收到了个性化 SMR 或 HRV 活动阈值的反馈,用于上调和下调。在预测试和后测试期间,参与者保留了睡眠日志并使用腕部活动计。参与者被要求在测试设施的第一天下午小睡。在打盹期间,评估了睡眠纺锤波以及打盹期间的自我报告睡眠测量。尽管训练表明成功地学习了增加和减少 SMR 和 HRV 活动,但双向训练对睡眠纺锤波、活动计、睡眠日记和自我报告的睡眠质量没有影响。因此,可以得出结论,双向 SMR 和 HRV 训练可以安全地用作 BCI,并且参与者能够通过双向训练提高对生理信号的控制,而双向 SMR 和 HRV 训练的应用并没有导致健康人群睡眠质量的显著变化。

相似文献

1
No Effects of Successful Bidirectional SMR Feedback Training on Objective and Subjective Sleep in Healthy Subjects.健康受试者中成功的双向 SMR 反馈训练对客观和主观睡眠无影响。
Appl Psychophysiol Biofeedback. 2018 Mar;43(1):37-47. doi: 10.1007/s10484-017-9384-y.
2
The Impact of Different Visual Feedbacks in User Training on Motor Imagery Control in BCI.不同视觉反馈对脑机接口中运动想象控制的用户训练的影响。
Appl Psychophysiol Biofeedback. 2018 Mar;43(1):23-35. doi: 10.1007/s10484-017-9383-z.
3
Specific or nonspecific? Evaluation of band, baseline, and cognitive specificity of sensorimotor rhythm- and gamma-based neurofeedback.特异性还是非特异性?基于感觉运动节律和伽马的神经反馈的带、基线和认知特异性的评估。
Int J Psychophysiol. 2017 Oct;120:1-13. doi: 10.1016/j.ijpsycho.2017.06.005. Epub 2017 Jun 24.
4
Week-long visuomotor coordination and relaxation trainings do not increase sensorimotor rhythms (SMR) based brain-computer interface performance.为期一周的视动协调和放松训练不会提高基于感觉运动节律(SMR)的脑机接口性能。
Behav Brain Res. 2019 Oct 17;372:111993. doi: 10.1016/j.bbr.2019.111993. Epub 2019 Jun 1.
5
Investigating the effects of a sensorimotor rhythm-based BCI training on the cortical activity elicited by mental imagery.研究基于感觉运动节律的脑机接口训练对心理意象诱发的皮层活动的影响。
J Neural Eng. 2014 Jun;11(3):035010. doi: 10.1088/1741-2560/11/3/035010. Epub 2014 May 19.
6
Closed-loop adaptation of neurofeedback based on mental effort facilitates reinforcement learning of brain self-regulation.基于心理努力的神经反馈闭环适应促进大脑自我调节的强化学习。
Clin Neurophysiol. 2016 Sep;127(9):3156-3164. doi: 10.1016/j.clinph.2016.06.020. Epub 2016 Jun 27.
7
Heart rate variability predicts decline in sensorimotor rhythm control.心率变异性预测感觉运动节律控制的下降。
J Neural Eng. 2021 Jul 23;18(4). doi: 10.1088/1741-2552/ac1177.
8
A transfer learning-based feedback training motivates the performance of SMR-BCI.基于迁移学习的反馈训练激励了 SMR-BCI 的性能。
J Neural Eng. 2023 Jan 24;20(1). doi: 10.1088/1741-2552/acaee7.
9
Resting-state sensorimotor rhythm (SMR) power predicts the ability to up-regulate SMR in an EEG-instrumental conditioning paradigm.静息状态下的感觉运动节律(SMR)功率可预测在脑电图仪器条件反射范式中上调SMR的能力。
Clin Neurophysiol. 2015 Nov;126(11):2068-77. doi: 10.1016/j.clinph.2014.09.032. Epub 2015 Feb 7.
10
Predicting Inter-session Performance of SMR-Based Brain-Computer Interface Using the Spectral Entropy of Resting-State EEG.使用静息态脑电图的频谱熵预测基于稳态视觉诱发电位的脑机接口的会话间性能。
Brain Topogr. 2015 Sep;28(5):680-690. doi: 10.1007/s10548-015-0429-3. Epub 2015 Mar 19.

引用本文的文献

1
Evaluation of the URGOnight Tele-neurofeedback Device: An Open-label Feasibility Study with Follow-up.URGOnight 遥测神经反馈仪评估:一项具有随访的开放性可行性研究。
Appl Psychophysiol Biofeedback. 2022 Mar;47(1):43-51. doi: 10.1007/s10484-021-09525-z. Epub 2021 Sep 28.
2
Effect of Stress on Autonomic and Cardiovascular Systems in Military Population: A Systematic Review.压力对军人自主神经系统和心血管系统的影响:一项系统评价
Cardiol Res Pract. 2020 Aug 11;2020:7986249. doi: 10.1155/2020/7986249. eCollection 2020.
3
Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study.
基于感觉运动神经反馈训练的功率谱密度和功能连接变化:一项初步研究。
Neural Plast. 2019 May 5;2019:7647204. doi: 10.1155/2019/7647204. eCollection 2019.