• 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

Quantitative EEG mapping, regional cerebral blood flow, and neuropsychological function in Alzheimer's disease.

作者信息

Passero S, Rocchi R, Vatti G, Burgalassi L, Battistini N

机构信息

Institute for Nervous and Mental Diseases, University of Siena, Italy.

出版信息

Dementia. 1995 May-Jun;6(3):148-56. doi: 10.1159/000106938.

DOI:10.1159/000106938
PMID:7620527
Abstract

The relations between quantitative EEG, regional cerebral blood flow (rCBF), severity of disease and neuropsychological data were analyzed in 31 patients in different stages of Alzheimer's disease (AD). As a group the demented patients had higher delta and theta activities, lower alpha activity and lower alpha peak frequency than control subjects. rCBF was reduced in all regions studied but mainly in the temporoparietal areas. An analysis of correlations showed a close relationship between rCBF and certain quantitative EEG parameters in AD patients, mainly the power of the theta and delta bands. Both rCBF evaluation and quantitative EEG provide functional information related to the severity of cognitive impairment.

摘要

相似文献

1
Quantitative EEG mapping, regional cerebral blood flow, and neuropsychological function in Alzheimer's disease.
Dementia. 1995 May-Jun;6(3):148-56. doi: 10.1159/000106938.
2
A promising method to distinguish vascular dementia from Alzheimer's disease with standardized low-resolution brain electromagnetic tomography and quantitative EEG.一种使用标准化低分辨率脑电磁断层成像和定量脑电图来区分血管性痴呆和阿尔茨海默病的有前途的方法。
Clin EEG Neurosci. 2014 Jul;45(3):152-7. doi: 10.1177/1550059413496779.
3
Determinants of quantitative spectral electroencephalography in early Alzheimer's disease: cognitive function, regional cerebral blood flow, and computed tomography.早期阿尔茨海默病定量频谱脑电图的决定因素:认知功能、局部脑血流量和计算机断层扫描
Dement Geriatr Cogn Disord. 2000 Mar-Apr;11(2):81-9. doi: 10.1159/000017219.
4
Quantitative electroencephalography and regional cerebral blood flow: discriminant analysis between Alzheimer's patients and healthy controls.
Dement Geriatr Cogn Disord. 1998 Sep-Oct;9(5):274-83. doi: 10.1159/000017072.
5
Computerized EEG frequency analysis and topographic brain mapping in Alzheimer's disease.
Ann N Y Acad Sci. 1991;620:45-56. doi: 10.1111/j.1749-6632.1991.tb51573.x.
6
Quantitative EEG and dynamic susceptibility contrast MRI in Alzheimer's disease: a correlative study.阿尔茨海默病的定量脑电图与动态磁敏感对比磁共振成像:一项相关性研究。
Clin Neurophysiol. 2003 Jul;114(7):1210-6. doi: 10.1016/s1388-2457(03)00085-3.
7
Relationship between blood flow kinetics and severity of Alzheimer's disease: assessment of severity using a questionnaire-type examination, Alzheimer's disease assessment scale, cognitive sub-scale (ADAS(cog)).血流动力学与阿尔茨海默病严重程度之间的关系:使用问卷式检查、阿尔茨海默病评估量表认知子量表(ADAS(cog))评估严重程度
Dement Geriatr Cogn Disord. 2001 Sep-Oct;12(5):318-25. doi: 10.1159/000051277.
8
A new EEG method for estimating cortical neuronal impairment that is sensitive to early stage Alzheimer's disease.
Clin Neurophysiol. 2002 Jul;113(7):1052-8. doi: 10.1016/s1388-2457(02)00128-1.
9
Cognitive correlates of regional cerebral blood flow in Alzheimer's disease.阿尔茨海默病中局部脑血流的认知关联
Arch Neurol. 1993 Jul;50(7):761-6. doi: 10.1001/archneur.1993.00540070073019.
10
EEG Theta Power Is an Early Marker of Cognitive Decline in Dementia due to Alzheimer's Disease.脑电图 θ 功率是阿尔茨海默病所致痴呆认知下降的早期标志物。
J Alzheimers Dis. 2018;64(4):1359-1371. doi: 10.3233/JAD-180300.

引用本文的文献

1
Oscillatory characteristics of resting-state magnetoencephalography reflect pathological and symptomatic conditions of cognitive impairment.静息态脑磁图的振荡特征反映了认知障碍的病理和症状情况。
Front Aging Neurosci. 2024 Jan 30;16:1273738. doi: 10.3389/fnagi.2024.1273738. eCollection 2024.
2
Electroencephalography as a Non-Invasive Biomarker of Alzheimer's Disease: A Forgotten Candidate to Substitute CSF Molecules?脑电图作为阿尔茨海默病的非侵入性生物标志物:替代 CSF 分子的被遗忘的候选者?
Int J Mol Sci. 2021 Oct 8;22(19):10889. doi: 10.3390/ijms221910889.
3
Individual alpha peak frequency is slower in schizophrenia and related to deficits in visual perception and cognition.
个体的阿尔法顶峰频率在精神分裂症中较慢,与视觉感知和认知缺陷有关。
Sci Rep. 2021 Sep 8;11(1):17852. doi: 10.1038/s41598-021-97303-6.
4
Decreased Alpha Peak Frequency Is Linked to Episodic Memory Impairment in Pathological Aging.阿尔法峰值频率降低与病理性衰老中的情景记忆损害有关。
Front Aging Neurosci. 2021 Aug 12;13:711375. doi: 10.3389/fnagi.2021.711375. eCollection 2021.
5
Cohort study of electroencephalography markers of amyloid-tau-neurodegeneration pathology.淀粉样蛋白- tau蛋白-神经退行性变病理的脑电图标志物队列研究。
Brain Commun. 2020 Jul 15;2(2):fcaa099. doi: 10.1093/braincomms/fcaa099. eCollection 2020.
6
Peak Alpha Frequency in Relation to Cognitive Performance.与认知表现相关的峰值阿尔法频率。
J Neurosci Rural Pract. 2020 Jul;11(3):416-419. doi: 10.1055/s-0040-1712585. Epub 2020 Jun 12.
7
Subjective cognitive decline detected by the oscillatory connectivity in the default mode network: a magnetoencephalographic study.静息态默认网络中振荡连通性检测到的主观认知下降:一项脑磁图研究。
Aging (Albany NY). 2020 Feb 25;12(4):3911-3925. doi: 10.18632/aging.102859.
8
Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology.阿尔茨海默病精准神经医学的革命。系统生物学和神经生理学的通道。
J Alzheimers Dis. 2018;64(s1):S47-S105. doi: 10.3233/JAD-179932.
9
Alpha band disruption in the AD-continuum starts in the Subjective Cognitive Decline stage: a MEG study.主观认知衰退阶段的 AD 连续谱中阿尔法波段的破坏:一项 MEG 研究。
Sci Rep. 2016 Nov 24;6:37685. doi: 10.1038/srep37685.
10
Neuroplastic effects of combined computerized physical and cognitive training in elderly individuals at risk for dementia: an eLORETA controlled study on resting states.针对有患痴呆症风险的老年人的计算机化身体与认知联合训练的神经可塑性效应:一项关于静息状态的脑电活动立体定位断层成像(eLORETA)对照研究
Neural Plast. 2015;2015:172192. doi: 10.1155/2015/172192. Epub 2015 Apr 7.