• 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

基于光电神经信息的认知障碍评估研究

Study on cognitive impairment evaluation based on photoelectric neural information.

作者信息

Wang Zehua, Zhang Ye, Ma Ning, Qiao Huiting, Xia Meiyun, Li Deyu

机构信息

School of Biological Science and Medical Engineering, Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China.

Innovation Center for Medical Engineering &Engineering Medicine, Hangzhou International Innovation Institute, Beihang University, Hangzhou, China.

出版信息

J Alzheimers Dis Rep. 2025 Mar 21;9:25424823251325537. doi: 10.1177/25424823251325537. eCollection 2025 Jan-Dec.

DOI:10.1177/25424823251325537
PMID:40125335
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11930469/
Abstract

BACKGROUND

Whether there is a cognitive load-dependent brain activation pattern in the pre-Alzheimer's disease phase is unknown. Multimodal system provides a powerful technical tool.

OBJECTIVE

We evaluated brain activity patterns under different cognitive loads in patients with mild cognitive impairment.

METHODS

Functional near-infrared spectroscopy signals and electroencephalography signals were acquired from the mild cognitive impairment group (MCI, n = 20) and the healthy control group (HC, n = 24) under four cognitive loads. We analyzed the respective brain activity features and performed correlation analyses.

RESULTS

(1) During the encoding phase, both the left occipital ( = 0.05, < 0.01) and left temporal ( = 0.02, = 0.03) skewness condition effects and between-group effects were significant. (2) As the cognitive load increased, the clustering coefficients and local efficiencies were significantly lower for the HC group. (3) The left occipital and left temporal activation skewness in the MCI group were significantly correlated with left occipital electrical features, whereas the left occipital activation intensity and skewness were significantly correlated with left occipital electrical features in HC group.

CONCLUSIONS

The pattern of brain activity in MCI depends on cognitive load. Left occipital and left temporal may be important brain regions for evaluating MCI and need to be focused on in the future.

摘要

背景

在阿尔茨海默病前期是否存在认知负荷依赖的脑激活模式尚不清楚。多模态系统提供了一个强大的技术工具。

目的

我们评估了轻度认知障碍患者在不同认知负荷下的脑活动模式。

方法

在四种认知负荷下,从轻度认知障碍组(MCI,n = 20)和健康对照组(HC,n = 24)采集功能近红外光谱信号和脑电图信号。我们分析了各自的脑活动特征并进行了相关性分析。

结果

(1)在编码阶段,左枕叶( = 0.05, < 0.01)和左颞叶( = 0.02, = 0.03)的偏态条件效应和组间效应均显著。(2)随着认知负荷增加,HC组的聚类系数和局部效率显著降低。(3)MCI组左枕叶和左颞叶激活偏态与左枕叶电特征显著相关,而HC组左枕叶激活强度和偏态与左枕叶电特征显著相关。

结论

MCI患者的脑活动模式取决于认知负荷。左枕叶和左颞叶可能是评估MCI的重要脑区,未来需要重点关注。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/92d9d702d247/10.1177_25424823251325537-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/f2264838b061/10.1177_25424823251325537-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/fcdd20b25216/10.1177_25424823251325537-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/91e5b1806955/10.1177_25424823251325537-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/2689601cd43f/10.1177_25424823251325537-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/9d0bdf2bfad9/10.1177_25424823251325537-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/92d9d702d247/10.1177_25424823251325537-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/f2264838b061/10.1177_25424823251325537-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/fcdd20b25216/10.1177_25424823251325537-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/91e5b1806955/10.1177_25424823251325537-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/2689601cd43f/10.1177_25424823251325537-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/9d0bdf2bfad9/10.1177_25424823251325537-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321e/11930469/92d9d702d247/10.1177_25424823251325537-fig6.jpg

相似文献

1
Study on cognitive impairment evaluation based on photoelectric neural information.基于光电神经信息的认知障碍评估研究
J Alzheimers Dis Rep. 2025 Mar 21;9:25424823251325537. doi: 10.1177/25424823251325537. eCollection 2025 Jan-Dec.
2
Exploration of working memory retrieval stage for mild cognitive impairment: time-varying causality analysis of electroencephalogram based on dynamic brain networks.轻度认知障碍工作记忆检索阶段的探索:基于动态脑网络的脑电图时变因果分析
J Neuroeng Rehabil. 2025 Mar 13;22(1):58. doi: 10.1186/s12984-025-01594-z.
3
Alterations in brain functional connectivity in patients with mild cognitive impairment: A systematic review and meta-analysis of functional near-infrared spectroscopy studies.轻度认知障碍患者脑功能连接变化:功能近红外光谱研究的系统评价和荟萃分析。
Brain Behav. 2024 Apr;14(4):e3414. doi: 10.1002/brb3.3414.
4
Evaluation of Neural Degeneration Biomarkers in the Prefrontal Cortex for Early Identification of Patients With Mild Cognitive Impairment: An fNIRS Study.用于早期识别轻度认知障碍患者的前额叶皮质神经退行性生物标志物评估:一项功能近红外光谱研究
Front Hum Neurosci. 2019 Sep 6;13:317. doi: 10.3389/fnhum.2019.00317. eCollection 2019.
5
Acupuncture enhances brain function in patients with mild cognitive impairment: evidence from a functional-near infrared spectroscopy study.针刺改善轻度认知障碍患者的脑功能:一项功能近红外光谱研究的证据
Neural Regen Res. 2022 Aug;17(8):1850-1856. doi: 10.4103/1673-5374.332150.
6
Patterns of Grey Matter Atrophy at Different Stages of Parkinson's and Alzheimer's Diseases and Relation to Cognition.帕金森病和阿尔茨海默病不同阶段的灰质萎缩模式及其与认知的关系。
Brain Topogr. 2019 Jan;32(1):142-160. doi: 10.1007/s10548-018-0675-2. Epub 2018 Sep 11.
7
Visualizing Hyperactivation in Neurodegeneration Based on Prefrontal Oxygenation: A Comparative Study of Mild Alzheimer's Disease, Mild Cognitive Impairment, and Healthy Controls.基于前额叶氧合作用可视化神经退行性变中的过度激活:轻度阿尔茨海默病、轻度认知障碍和健康对照的比较研究
Front Aging Neurosci. 2017 Sep 1;9:287. doi: 10.3389/fnagi.2017.00287. eCollection 2017.
8
Diagnosis of Mild Cognitive Impairment Using Cognitive Tasks: A Functional Near-Infrared Spectroscopy Study.使用认知任务诊断轻度认知障碍:一项功能近红外光谱研究。
Curr Alzheimer Res. 2020;17(13):1145-1160. doi: 10.2174/1567205018666210212154941.
9
Graph Convolutional Network for AD and MCI Diagnosis Utilizing Peripheral DNA Methylation: Réseau de neurones en graphes pour le diagnostic de la MA et du TCL à l'aide de la méthylation de l'ADN périphérique.利用外周血DNA甲基化的阿尔茨海默病和轻度认知障碍诊断的图卷积网络:使用外周血DNA甲基化进行阿尔茨海默病和轻度认知障碍诊断的图神经网络
Can J Psychiatry. 2024 Dec;69(12):869-879. doi: 10.1177/07067437241300947. Epub 2024 Nov 25.
10
Correlation Between Gait and Near-Infrared Brain Functional Connectivity Under Cognitive Tasks in Elderly Subjects With Mild Cognitive Impairment.轻度认知障碍老年受试者在认知任务下步态与近红外脑功能连接的相关性
Front Aging Neurosci. 2021 Jun 11;13:482447. doi: 10.3389/fnagi.2021.482447. eCollection 2021.

本文引用的文献

1
Activity flow under the manipulation of cognitive load and training.在认知负荷和训练操作下的活动流程
Neuroimage. 2024 Aug 15;297:120761. doi: 10.1016/j.neuroimage.2024.120761. Epub 2024 Jul 27.
2
Evaluation of the learning state of online video courses based on functional near infrared spectroscopy.基于功能近红外光谱技术的在线视频课程学习状态评估
Biomed Opt Express. 2024 Feb 8;15(3):1486-1499. doi: 10.1364/BOE.516174. eCollection 2024 Mar 1.
3
Multimodal imaging of microstructural cerebral alterations and loss of synaptic density in Alzheimer's disease.
阿尔茨海默病中小脑结构改变和突触密度丧失的多模态成像。
Neurobiol Aging. 2023 Dec;132:24-35. doi: 10.1016/j.neurobiolaging.2023.08.001. Epub 2023 Aug 9.
4
2023 Alzheimer's disease facts and figures.2023 年阿尔茨海默病事实和数据。
Alzheimers Dement. 2023 Apr;19(4):1598-1695. doi: 10.1002/alz.13016. Epub 2023 Mar 14.
5
Early screening model for mild cognitive impairment based on resting-state functional connectivity: a functional near-infrared spectroscopy study.基于静息态功能连接的轻度认知障碍早期筛查模型:一项功能近红外光谱研究
Neurophotonics. 2022 Oct;9(4):045010. doi: 10.1117/1.NPh.9.4.045010. Epub 2022 Dec 6.
6
Mini-Mental State Examination and Montreal Cognitive Assessment as Tools for Following Cognitive Changes in Alzheimer's Disease Neuroimaging Initiative Participants.简易精神状态检查和蒙特利尔认知评估在阿尔茨海默病神经影像学倡议参与者认知变化随访中的作用。
J Alzheimers Dis. 2022;90(1):263-270. doi: 10.3233/JAD-220397.
7
Neuropsychiatric symptoms associated multimodal brain networks in Alzheimer's disease.阿尔茨海默病相关的神经精神症状与多模态脑网络。
Hum Brain Mapp. 2023 Jan;44(1):119-130. doi: 10.1002/hbm.26051. Epub 2022 Aug 22.
8
Neuroimaging Modalities in Alzheimer's Disease: Diagnosis and Clinical Features.神经影像学在阿尔茨海默病中的应用:诊断与临床特征。
Int J Mol Sci. 2022 May 28;23(11):6079. doi: 10.3390/ijms23116079.
9
A self-driven approach for multi-class discrimination in Alzheimer's disease based on wearable EEG.一种基于可穿戴脑电图的阿尔茨海默病多类别判别自驱动方法。
Comput Methods Programs Biomed. 2022 Jun;220:106841. doi: 10.1016/j.cmpb.2022.106841. Epub 2022 Apr 27.
10
Alzheimer's Disease-Related Psychosis: An Overview of Clinical Manifestations, Pathogenesis, and Current Treatment.阿尔茨海默病相关精神病:临床特征、发病机制及当前治疗概述。
Curr Alzheimer Res. 2022;19(4):285-301. doi: 10.2174/1567205019666220418151914.