• 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

慢性失语症患者的静息态脑电频谱(rsEEG)具有可靠性、敏感性,且与功能行为相关。

Spectral Resting-State EEG (rsEEG) in Chronic Aphasia Is Reliable, Sensitive, and Correlates With Functional Behavior.

作者信息

Dalton Sarah G H, Cavanagh James F, Richardson Jessica D

机构信息

Department of Speech Pathology and Audiology, Marquette University, Milwaukee, WI, United States.

Department of Psychology, University of New Mexico, Albuquerque, NM, United States.

出版信息

Front Hum Neurosci. 2021 Mar 17;15:624660. doi: 10.3389/fnhum.2021.624660. eCollection 2021.

DOI:10.3389/fnhum.2021.624660
PMID:33815079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8010195/
Abstract

We investigated spectral resting-state EEG in persons with chronic stroke-induced aphasia to determine its reliability, sensitivity, and relationship to functional behaviors. Resting-state EEG has not yet been characterized in this population and was selected given the demonstrated potential of resting-state investigations using other neuroimaging techniques to guide clinical decision-making. Controls and persons with chronic stroke-induced aphasia completed two EEG recording sessions, separated by approximately 1 month, as well as behavioral assessments of language, sensorimotor, and cognitive domains. Power in the classic frequency bands (delta, theta, alpha, and beta) was examined via spectral analysis of resting-state EEG data. Results suggest that power in the theta, alpha, and beta bands is reliable for use as a repeated measure. Significantly greater theta and lower beta power was observed in persons with aphasia (PWAs) than controls. Finally, in PWAs theta power negatively correlated with performance on a discourse informativeness measure, while alpha and beta power positively correlated with performance on the same measure. This indicates that spectral rsEEG slowing observed in PWAs in the chronic stage is pathological and suggests a possible avenue for directly altering brain activation to improve behavioral function. Taken together, these results suggest that spectral resting-state EEG holds promise for sensitive measurement of functioning and change in persons with chronic aphasia. Future studies investigating the utility of these measures as biomarkers of frank or latent aphasic deficits and treatment response in chronic stroke-induced aphasia are warranted.

摘要

我们对慢性中风所致失语症患者的静息态脑电图频谱进行了研究,以确定其可靠性、敏感性以及与功能行为的关系。静息态脑电图在这一人群中尚未得到特征描述,鉴于使用其他神经成像技术进行静息态研究已显示出指导临床决策的潜力,故而选择了此项研究。对照组和慢性中风所致失语症患者完成了两次脑电图记录,间隔约1个月,同时还进行了语言、感觉运动和认知领域的行为评估。通过对静息态脑电图数据进行频谱分析,检测经典频段(δ、θ、α和β)的功率。结果表明,θ、α和β频段的功率作为重复测量指标具有可靠性。失语症患者(PWAs)的θ功率显著高于对照组,β功率则显著低于对照组。最后,在失语症患者中,θ功率与语篇信息量测量指标的表现呈负相关,而α和β功率与同一测量指标的表现呈正相关。这表明在慢性期失语症患者中观察到的静息态脑电图频谱减慢是病理性的,并提示了一条直接改变大脑激活以改善行为功能的可能途径。综上所述,这些结果表明,静息态脑电图频谱有望用于敏感测量慢性失语症患者的功能及变化。未来有必要开展研究,探讨这些测量指标作为慢性中风所致失语症明显或潜在失语症缺陷及治疗反应生物标志物的效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ef/8010195/adc4194d431a/fnhum-15-624660-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ef/8010195/277440568c5a/fnhum-15-624660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ef/8010195/1540da7c0c4f/fnhum-15-624660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ef/8010195/37b79de479c3/fnhum-15-624660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ef/8010195/adc4194d431a/fnhum-15-624660-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ef/8010195/277440568c5a/fnhum-15-624660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ef/8010195/1540da7c0c4f/fnhum-15-624660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ef/8010195/37b79de479c3/fnhum-15-624660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52ef/8010195/adc4194d431a/fnhum-15-624660-g004.jpg

相似文献

1
Spectral Resting-State EEG (rsEEG) in Chronic Aphasia Is Reliable, Sensitive, and Correlates With Functional Behavior.慢性失语症患者的静息态脑电频谱(rsEEG)具有可靠性、敏感性,且与功能行为相关。
Front Hum Neurosci. 2021 Mar 17;15:624660. doi: 10.3389/fnhum.2021.624660. eCollection 2021.
2
Electrophysiological connectivity markers of preserved language functions in post-stroke aphasia.电生理连通性标志物可预测卒中后失语症患者的语言功能保留情况。
Neuroimage Clin. 2022;34:103036. doi: 10.1016/j.nicl.2022.103036. Epub 2022 May 7.
3
Resting state EEG biomarkers of cognitive decline associated with Alzheimer's disease and mild cognitive impairment.与阿尔茨海默病和轻度认知障碍相关的认知衰退的静息态 EEG 生物标志物。
PLoS One. 2021 Feb 5;16(2):e0244180. doi: 10.1371/journal.pone.0244180. eCollection 2021.
4
Characteristics of Resting State EEG Power in 80+-Year-Olds of Different Cognitive Status.不同认知状态的80岁及以上老年人静息态脑电图功率特征
Front Aging Neurosci. 2021 Aug 11;13:675689. doi: 10.3389/fnagi.2021.675689. eCollection 2021.
5
EEG default mode network in the human brain: spectral regional field powers.人类大脑中的脑电图默认模式网络:频谱区域场功率
Neuroimage. 2008 Jun;41(2):561-74. doi: 10.1016/j.neuroimage.2007.12.064. Epub 2008 Jan 15.
6
The new wireless EEG device Mentalab Explore is a valid and reliable system for the measurement of resting state EEG spectral features.新型无线 EEG 设备 Mentalab Explore 是一种用于测量静息状态 EEG 光谱特征的有效且可靠的系统。
Brain Res. 2023 Jan 1;1798:148164. doi: 10.1016/j.brainres.2022.148164. Epub 2022 Nov 17.
7
Relative power and coherence of EEG series are related to amnestic mild cognitive impairment in diabetes.脑电图系列的相对功率和相干性与糖尿病患者的遗忘型轻度认知障碍有关。
Front Aging Neurosci. 2014 Feb 4;6:11. doi: 10.3389/fnagi.2014.00011. eCollection 2014.
8
Distinct spatiotemporal patterns of neuronal functional connectivity in primary progressive aphasia variants.原发性进行性失语变体中神经元功能连接的独特时空模式。
Brain. 2017 Oct 1;140(10):2737-2751. doi: 10.1093/brain/awx217.
9
Spectral Changes of EEG Following a 6-Week Low-Dose Oral Ketamine Treatment in Adults With Major Depressive Disorder and Chronic Suicidality.一项为期 6 周的低剂量口服氯胺酮治疗对伴有慢性自杀意念的成年重度抑郁症患者脑电图的频谱变化。
Int J Neuropsychopharmacol. 2023 Apr 17;26(4):259-267. doi: 10.1093/ijnp/pyad006.
10
Resting-state EEG alpha/theta power ratio discriminates early-onset Alzheimer's disease from healthy controls.静息态 EEGα/θ功率比可区分早发性阿尔茨海默病与健康对照。
Clin Neurophysiol. 2021 Sep;132(9):2019-2031. doi: 10.1016/j.clinph.2021.05.012. Epub 2021 Jun 6.

引用本文的文献

1
Utilization of resting-state electroencephalography spectral power in convolutional neural networks for classification of primary progressive aphasia.静息态脑电图频谱功率在卷积神经网络中用于原发性进行性失语症分类的应用
Neuroimage Rep. 2025 Mar;5(1). doi: 10.1016/j.ynirp.2025.100242. Epub 2025 Feb 15.
2
EEG reveals brain network alterations in chronic aphasia during natural speech listening.脑电图显示,在自然言语聆听过程中,慢性失语症患者的脑网络存在改变。
Sci Rep. 2025 Jan 19;15(1):2441. doi: 10.1038/s41598-025-86192-8.
3
Clinical efficacy and therapeutic mechanism of active 'five-tone' speech therapy compared with conventional speech-language therapy for treatment of post-stroke aphasia: protocol for a randomised controlled trial.

本文引用的文献

1
Main Concept, Sequencing, and Story Grammar Analyses of Cinderella Narratives in a Large Sample of Persons with Aphasia.对大量失语症患者样本中灰姑娘故事的主要概念、顺序和故事语法分析
Brain Sci. 2021 Jan 15;11(1):110. doi: 10.3390/brainsci11010110.
2
Main concepts for two picture description tasks: An addition to.两个图片描述任务的主要概念:补充内容。
Aphasiology. 2020;34(1):119-136. doi: 10.1080/02687038.2018.1561417. Epub 2019 Jan 6.
3
Moving Toward Non-transcription based Discourse Analysis in Stable and Progressive Aphasia.
主动“五音”言语疗法与常规言语语言疗法治疗脑卒中后失语症的临床疗效和治疗机制比较:一项随机对照试验方案。
BMJ Open. 2024 Sep 24;14(9):e082282. doi: 10.1136/bmjopen-2023-082282.
4
Prolonged intermittent theta burst stimulation for post-stroke aphasia: protocol of a randomized, double-blinded, sham-controlled trial.延长间歇性θ波爆发刺激治疗中风后失语症:一项随机、双盲、假对照试验的方案
Front Neurol. 2024 Apr 25;15:1348862. doi: 10.3389/fneur.2024.1348862. eCollection 2024.
5
Electrophysiological Changes in Patients with Post-stroke Aphasia: A Systematic Review.中风后失语症患者的电生理变化:一项系统综述。
Brain Topogr. 2023 Mar;36(2):135-171. doi: 10.1007/s10548-023-00941-4. Epub 2023 Feb 7.
6
Oscillatory beta/alpha band modulations: A potential biomarker of functional language and motor recovery in chronic stroke?振荡性β/α频段调制:慢性卒中功能语言和运动恢复的潜在生物标志物?
Front Hum Neurosci. 2022 Sep 26;16:940845. doi: 10.3389/fnhum.2022.940845. eCollection 2022.
7
Resting-state electroencephalography changes in poststroke patients with visuospatial neglect.患有视觉空间忽视的中风后患者静息态脑电图的变化
Front Neurosci. 2022 Aug 10;16:974712. doi: 10.3389/fnins.2022.974712. eCollection 2022.
8
Electroencephalogram (EEG) With or Without Transcranial Magnetic Stimulation (TMS) as Biomarkers for Post-stroke Recovery: A Narrative Review.脑电图(EEG)联合或不联合经颅磁刺激(TMS)作为中风后恢复的生物标志物:一项叙述性综述
Front Neurol. 2022 Feb 22;13:827866. doi: 10.3389/fneur.2022.827866. eCollection 2022.
向稳定型和进行性失语症中的非转录基础话语分析转变。
Semin Speech Lang. 2020 Jan;41(1):32-44. doi: 10.1055/s-0039-3400990. Epub 2019 Dec 23.
4
Using AphasiaBank for Discourse Assessment.使用失语症语料库进行话语评估。
Semin Speech Lang. 2020 Jan;41(1):10-19. doi: 10.1055/s-0039-3399499. Epub 2019 Dec 23.
5
Hemispheric Lateralization of Auditory Working Memory Regions During Stochastic Resonance: An fMRI Study.随机共振过程中听觉工作记忆区域的半球侧化:一项功能磁共振成像研究
J Magn Reson Imaging. 2020 Jun;51(6):1821-1828. doi: 10.1002/jmri.27016. Epub 2019 Dec 3.
6
Language Mapping in Aphasia.失语症中的语言映射。
J Speech Lang Hear Res. 2019 Nov 22;62(11):3937-3946. doi: 10.1044/2019_JSLHR-L-RSNP-19-0031.
7
A Large-Scale Comparison of Main Concept Production Between Persons With Aphasia and Persons Without Brain Injury.大样本失语症患者与非脑损伤患者主要概念生成比较。
Am J Speech Lang Pathol. 2019 Mar 11;28(1S):293-320. doi: 10.1044/2018_AJSLP-17-0166.
8
The Relationship Between Confrontation Naming and Story Gist Production in Aphasia.失语症患者命名与故事梗概生成之间的关系。
Am J Speech Lang Pathol. 2018 Mar 1;27(1S):406-422. doi: 10.1044/2017_AJSLP-16-0211.
9
Slower EEG alpha generation, synchronization and "flow"-possible biomarkers of cognitive impairment and neuropathology of minor stroke.脑电图α波生成、同步化减慢以及“脑流”——小卒中认知障碍和神经病理学的潜在生物标志物。
PeerJ. 2017 Sep 28;5:e3839. doi: 10.7717/peerj.3839. eCollection 2017.
10
EEG differences between eyes-closed and eyes-open resting remain in healthy ageing.在健康老龄化过程中,闭眼和睁眼静息状态下的脑电图差异依然存在。
Biol Psychol. 2017 Oct;129:293-304. doi: 10.1016/j.biopsycho.2017.09.010. Epub 2017 Sep 21.