Suppr超能文献

通过考虑个体电场强度和自我评定的困倦程度可改善经颅交流电刺激后效应的检测。

Detection of Transcranial Alternating Current Stimulation Aftereffects Is Improved by Considering the Individual Electric Field Strength and Self-Rated Sleepiness.

作者信息

Steinmann Iris, Williams Kathleen A, Wilke Melanie, Antal Andrea

机构信息

Department of Cognitive Neurology, University Medical Center Göttingen, Göttingen, Germany.

Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

出版信息

Front Neurosci. 2022 Jun 27;16:870758. doi: 10.3389/fnins.2022.870758. eCollection 2022.

Abstract

Non-invasive electrical stimulation methods, such as transcranial alternating current stimulation (tACS), are increasingly used in human neuroscience research and offer potential new avenues to treat neurological and psychiatric disorders. However, their often variable effects have also raised concerns in the scientific and clinical communities. This study aims to investigate the influence of subject-specific factors on the alpha tACS-induced aftereffect on the alpha amplitude (measured with electroencephalography, EEG) as well as on the connectivity strength between nodes of the default mode network (DMN) [measured with functional magnetic resonance imaging (fMRI)]. As subject-specific factors we considered the individual electrical field (EFIELD) strength at target regions in the brain, the frequency mismatch between applied stimulation and individual alpha frequency (IAF) and as a covariate, subject's changes in mental state, i.e., sleepiness. Eighteen subjects participated in a tACS and a sham session conducted on different days. Each session consisted of three runs (pre/stimulation/). tACS was applied during the second run at each subject's individual alpha frequency (IAF), applying 1 mA peak-to-peak intensity for 7 min, using an occipital bihemispheric montage. In every run, subjects watched a video designed to increase in-scanner compliance. To investigate the aftereffect of tACS on EEG alpha amplitude and on DMN connectivity strength, EEG data were recorded simultaneously with fMRI data. Self-rated sleepiness was documented using a questionnaire. Conventional statistics (ANOVA) did not show a significant aftereffect of tACS on the alpha amplitude compared to sham stimulation. Including individual EFIELD strengths and self-rated sleepiness scores in a multiple linear regression model, significant tACS-induced aftereffects were observed. However, the subject-wise mismatch between tACS frequency and IAF had no contribution to our model. Neither standard nor extended statistical methods confirmed a tACS-induced aftereffect on DMN functional connectivity. Our results show that it is possible and necessary to disentangle alpha amplitude changes due to intrinsic mechanisms and to external manipulation using tACS on the alpha amplitude that might otherwise be overlooked. Our results suggest that EFIELD is really the most significant factor that explains the alpha amplitude modulation during a tACS session. This knowledge helps to understand the variability of the tACS-induced aftereffects.

摘要

非侵入性电刺激方法,如经颅交流电刺激(tACS),在人类神经科学研究中越来越常用,并为治疗神经和精神疾病提供了潜在的新途径。然而,其效果往往多变,这也引起了科学界和临床界的关注。本研究旨在调查个体特异性因素对α-tACS诱导的α波幅后效应(通过脑电图,EEG测量)以及默认模式网络(DMN)节点间连接强度后效应(通过功能磁共振成像,fMRI测量)的影响。作为个体特异性因素,我们考虑了大脑目标区域的个体电场(EFIELD)强度、施加刺激与个体α频率(IAF)之间的频率失配,以及作为协变量的受试者心理状态变化,即嗜睡程度。18名受试者在不同日期参加了一次tACS和一次假刺激实验。每次实验包括三次扫描(预扫描/刺激/)。在第二次扫描期间,以每个受试者的个体α频率(IAF)施加tACS,采用枕叶双半球电极配置,施加峰峰值强度为1 mA的电流,持续7分钟。在每次扫描中,受试者观看一段旨在提高扫描时配合度的视频。为了研究tACS对EEG α波幅和DMN连接强度的后效应,EEG数据与fMRI数据同时记录。使用问卷记录自我评定的嗜睡程度。与假刺激相比,传统统计学方法(方差分析)未显示tACS对α波幅有显著的后效应。在多元线性回归模型中纳入个体EFIELD强度和自我评定的嗜睡程度得分后,观察到了tACS诱导的显著后效应。然而,tACS频率与IAF之间的个体差异对我们的模型没有贡献。无论是标准统计方法还是扩展统计方法,均未证实tACS对DMN功能连接有诱导后效应。我们的结果表明,区分由内在机制引起的α波幅变化和通过tACS对α波幅进行的外部操纵是可能且必要的,否则这些变化可能会被忽视。我们的结果表明,EFIELD确实是解释tACS实验期间α波幅调制的最重要因素。这一认识有助于理解tACS诱导后效应的变异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be2f/9272587/019eb73ba91c/fnins-16-870758-g001.jpg

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