Aging and brain connectivity by graph theory.
作者信息
Vecchio Fabrizio
机构信息
Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.
eCampus University, Novedrate (Co), Rome, Italy.
出版信息
Aging (Albany NY). 2021 Nov 2;13(21):23874-23875. doi: 10.18632/aging.203680.
Abstract
摘要
相似文献
1
Aging and brain connectivity by graph theory.基于图论的衰老与脑连接性
Aging (Albany NY). 2021 Nov 2;13(21):23874-23875. doi: 10.18632/aging.203680.
2
Human brain networks in physiological aging: a graph theoretical analysis of cortical connectivity from EEG data.生理衰老过程中的人类脑网络：基于脑电图数据的皮质连接性的图论分析
J Alzheimers Dis. 2014;41(4):1239-49. doi: 10.3233/JAD-140090.
3
The contribution of TMS-EEG coregistration in the exploration of the human cortical connectome.经颅磁刺激-脑电图配准在人类皮质连接组探索中的作用。
Neurosci Biobehav Rev. 2015 Feb;49:114-24. doi: 10.1016/j.neubiorev.2014.12.014. Epub 2014 Dec 22.
4
Life-Span Development of Brain Network Integration Assessed with Phase Lag Index Connectivity and Minimum Spanning Tree Graphs.用相位滞后指数连通性和最小生成树图评估脑网络整合的寿命发展。
Brain Connect. 2016 May;6(4):312-25. doi: 10.1089/brain.2015.0359.
5
Searching for signs of aging and dementia in EEG through network analysis.通过网络分析在脑电图中寻找衰老和痴呆的迹象。
Behav Brain Res. 2017 Jan 15;317:292-300. doi: 10.1016/j.bbr.2016.09.057. Epub 2016 Sep 28.
6
Complexity of weighted graph: A new technique to investigate structural complexity of brain activities with applications to aging and autism.加权图的复杂性：一种研究大脑活动结构复杂性及其在衰老和自闭症研究中的应用的新技术。
Neurosci Lett. 2017 May 22;650:103-108. doi: 10.1016/j.neulet.2017.04.009. Epub 2017 Apr 13.
7
Time-dependence of graph theory metrics in functional connectivity analysis.功能连接性分析中图形理论指标的时间依赖性。
Neuroimage. 2016 Jan 15;125:601-615. doi: 10.1016/j.neuroimage.2015.10.070. Epub 2015 Oct 27.
8
EEG characteristics in "eyes-open" versus "eyes-closed" conditions: Small-world network architecture in healthy aging and age-related brain degeneration.“睁眼”与“闭眼”状态下的脑电图特征：健康衰老和年龄相关性脑退变中的小世界网络架构
Clin Neurophysiol. 2016 Feb;127(2):1261-1268. doi: 10.1016/j.clinph.2015.07.040. Epub 2015 Sep 25.
9
EEGNET: An Open Source Tool for Analyzing and Visualizing M/EEG Connectome.EEGNET：一种用于分析和可视化脑电/脑磁连接组的开源工具。
PLoS One. 2015 Sep 17;10(9):e0138297. doi: 10.1371/journal.pone.0138297. eCollection 2015.
10
Using multiple short epochs optimises the stability of infant EEG connectivity parameters.使用多个短时段可优化婴儿 EEG 连通性参数的稳定性。
Sci Rep. 2020 Jul 29;10(1):12703. doi: 10.1038/s41598-020-68981-5.
引用本文的文献
1
Combining non-invasive brain stimulation techniques and EEG markers analysis: an innovative approach to cognitive health in aging.结合非侵入性脑刺激技术与脑电图标记分析：一种针对老年人认知健康的创新方法。
Geroscience. 2025 Jan 31. doi: 10.1007/s11357-025-01545-5.
2
From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke.从数据到决策：人工智能与功能连接在中风诊断、预后及恢复预测中的应用
Geroscience. 2025 Feb;47(1):977-992. doi: 10.1007/s11357-024-01301-1. Epub 2024 Aug 1.
3
EEG entropy insights in the context of physiological aging and Alzheimer's and Parkinson's diseases: a comprehensive review.脑电图熵在生理老化以及阿尔茨海默病和帕金森病背景下的研究进展：一篇全面的综述。
Geroscience. 2024 Dec;46(6):5537-5557. doi: 10.1007/s11357-024-01185-1. Epub 2024 May 22.
4
Cognitive resilience/reserve: Myth or reality? A review of definitions and measurement methods.认知弹性/储备：是神话还是现实？定义和测量方法综述。
Alzheimers Dement. 2024 May;20(5):3567-3586. doi: 10.1002/alz.13744. Epub 2024 Mar 13.
本文引用的文献
1
Human Brain Networks in Physiological and Pathological Aging: Reproducibility of Electroencephalogram Graph Theoretical Analysis in Cortical Connectivity.生理和病理衰老中的人类脑网络：脑电图在皮质连接性方面的图论分析的可重复性
Brain Connect. 2022 Feb;12(1):41-51. doi: 10.1089/brain.2020.0824. Epub 2021 Dec 24.
2
Entropy modulation of electroencephalographic signals in physiological aging.脑电信号在生理老化中的熵调制。
Mech Ageing Dev. 2021 Jun;196:111472. doi: 10.1016/j.mad.2021.111472. Epub 2021 Mar 22.
3
Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation.基于创新 EEG 生物标志物的机器学习在生理衰老方面对阿尔茨海默病的分类。
J Alzheimers Dis. 2020;75(4):1253-1261. doi: 10.3233/JAD-200171.
4
Human brain networks: a graph theoretical analysis of cortical connectivity normative database from EEG data in healthy elderly subjects.人类大脑网络：基于健康老年被试 EEG 数据的皮质连接规范性数据库的图论分析。
Geroscience. 2020 Apr;42(2):575-584. doi: 10.1007/s11357-020-00176-2. Epub 2020 Mar 13.
5
Connectome: Graph theory application in functional brain network architecture.连接组：图论在功能性脑网络结构中的应用。
Clin Neurophysiol Pract. 2017 Oct 24;2:206-213. doi: 10.1016/j.cnp.2017.09.003. eCollection 2017.
6
Sustainable method for Alzheimer dementia prediction in mild cognitive impairment: Electroencephalographic connectivity and graph theory combined with apolipoprotein E.阿尔茨海默病预测的可持续方法：轻度认知障碍中的脑电图连通性和图论与载脂蛋白 E 相结合。
Ann Neurol. 2018 Aug;84(2):302-314. doi: 10.1002/ana.25289. Epub 2018 Aug 25.
7
Cortical connectivity and memory performance in cognitive decline: A study via graph theory from EEG data.认知衰退中的皮质连接性与记忆表现：一项基于脑电图数据的图论研究
Neuroscience. 2016 Mar 1;316:143-50. doi: 10.1016/j.neuroscience.2015.12.036. Epub 2015 Dec 24.
8
Human brain networks in physiological aging: a graph theoretical analysis of cortical connectivity from EEG data.生理衰老过程中的人类脑网络：基于脑电图数据的皮质连接性的图论分析
J Alzheimers Dis. 2014;41(4):1239-49. doi: 10.3233/JAD-140090.
Zotero 插件