• 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

静息态 fMRI 能可靠地对儿童的神经网络进行映射。

Resting-state fMRI can reliably map neural networks in children.

机构信息

Department of Pediatrics, Wayne State University School of Medicine, Detroit, MI 48202, USA.

出版信息

Neuroimage. 2011 Mar 1;55(1):165-75. doi: 10.1016/j.neuroimage.2010.11.080. Epub 2010 Dec 4.

DOI:10.1016/j.neuroimage.2010.11.080
PMID:21134471
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3031732/
Abstract

Resting-state MRI (rs-fMRI) is a powerful procedure for studying whole-brain neural connectivity. In this study we provide the first empirical evidence of the longitudinal reliability of rs-fMRI in children. We compared rest-retest measurements across spatial, temporal and frequency domains for each of six cognitive and sensorimotor intrinsic connectivity networks (ICNs) both within and between scan sessions. Using Kendall'sW, concordance of spatial maps ranged from .60 to .86 across networks, for various derived measures. The Pearson correlation coefficient for temporal coherence between networks across all Time 1-Time 2 (T1/T2) z-converted measures was .66 (p<.001). There were no differences between T1/T2 measurements in low-frequency power of the ICNs. For the visual network, within-session T1 correlated with the T2 low-frequency power, across participants. These measures from resting-state data in children were consistent across multiple domains (spatial, temporal, and frequency). Resting-state connectivity is therefore a reliable method for assessing large-scale brain networks in children.

摘要

静息态 MRI(rs-fMRI)是研究全脑神经连接的有力手段。在这项研究中,我们提供了 rs-fMRI 在儿童中纵向可靠性的第一个经验证据。我们比较了每个扫描会话内和之间的六个认知和感觉运动内在连接网络(ICN)的空间、时间和频率域的静息-重测测量值。使用 Kendall'sW,空间图谱的一致性在网络之间的各种衍生测量值中从.60 到.86 不等。所有时间 1-时间 2(T1/T2)z 转换测量值的网络之间的时间相干性的 Pearson 相关系数为.66(p<.001)。ICN 的低频功率在 T1/T2 测量值之间没有差异。对于视觉网络,参与者内的 T1 与 T2 的低频功率相关。这些来自儿童静息态数据的测量值在多个域(空间、时间和频率)上是一致的。因此,静息态连接是评估儿童大脑大网络的可靠方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/dc61219fe1a9/nihms261861f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/41ba78c0bf69/nihms261861f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/59ac6939072b/nihms261861f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/6b16daee0ff3/nihms261861f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/ec83bf7f3188/nihms261861f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/741987d480f9/nihms261861f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/dc61219fe1a9/nihms261861f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/41ba78c0bf69/nihms261861f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/59ac6939072b/nihms261861f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/6b16daee0ff3/nihms261861f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/ec83bf7f3188/nihms261861f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/741987d480f9/nihms261861f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4886/3031732/dc61219fe1a9/nihms261861f6.jpg

相似文献

1
Resting-state fMRI can reliably map neural networks in children.静息态 fMRI 能可靠地对儿童的神经网络进行映射。
Neuroimage. 2011 Mar 1;55(1):165-75. doi: 10.1016/j.neuroimage.2010.11.080. Epub 2010 Dec 4.
2
The effect of scan length on the reliability of resting-state fMRI connectivity estimates.扫描长度对静息态功能磁共振成像连接性估计可靠性的影响。
Neuroimage. 2013 Dec;83:550-8. doi: 10.1016/j.neuroimage.2013.05.099. Epub 2013 Jun 6.
3
Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures.基于 fMRI 和图论测量的静息态连接网络特征的重测信度。
Neuroimage. 2012 Jan 16;59(2):1404-12. doi: 10.1016/j.neuroimage.2011.08.044. Epub 2011 Aug 23.
4
Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low-frequency oscillation: a test-retest reliability study.基于复杂性和低频振荡研究固有连接网络的单变量时间模式:重测信度研究。
Neuroscience. 2013 Dec 19;254:404-26. doi: 10.1016/j.neuroscience.2013.09.009. Epub 2013 Sep 13.
5
Effects of resting state condition on reliability, trait specificity, and network connectivity of brain function measured with arterial spin labeled perfusion MRI.静息态条件对动脉自旋标记灌注 MRI 测量脑功能的可靠性、特质特异性和网络连通性的影响。
Neuroimage. 2018 Jun;173:165-175. doi: 10.1016/j.neuroimage.2018.02.028. Epub 2018 Feb 16.
6
Functional connectivity in BOLD and CBF data: similarity and reliability of resting brain networks.血氧水平依赖(BOLD)数据和脑血流量(CBF)数据中的功能连接:静息脑网络的相似性和可靠性
Neuroimage. 2015 Feb 1;106:111-22. doi: 10.1016/j.neuroimage.2014.11.028. Epub 2014 Nov 21.
7
A SVM-based quantitative fMRI method for resting-state functional network detection.一种基于支持向量机的静息态功能网络检测定量功能磁共振成像方法。
Magn Reson Imaging. 2014 Sep;32(7):819-31. doi: 10.1016/j.mri.2014.04.004. Epub 2014 Apr 13.
8
Group analysis of resting-state fMRI by hierarchical Markov random fields.基于分层马尔可夫随机场的静息态功能磁共振成像组分析。
Med Image Comput Comput Assist Interv. 2012;15(Pt 3):189-96. doi: 10.1007/978-3-642-33454-2_24.
9
A human brain atlas derived via n-cut parcellation of resting-state and task-based fMRI data.通过对静息态和任务态功能磁共振成像数据进行n割法分割得出的人类脑图谱。
Magn Reson Imaging. 2016 Feb;34(2):209-18. doi: 10.1016/j.mri.2015.10.036. Epub 2015 Oct 31.
10
Fractal analysis of spontaneous fluctuations of the BOLD signal in the human brain networks.人类大脑网络中血氧水平依赖(BOLD)信号自发波动的分形分析
J Magn Reson Imaging. 2014 May;39(5):1118-25. doi: 10.1002/jmri.24274. Epub 2013 Sep 11.

引用本文的文献

1
How much is "enough"? Considerations for functional connectivity reliability in pediatric naturalistic fMRI.多少才算“足够”?儿科自然主义功能磁共振成像中功能连接可靠性的考量
Imaging Neurosci (Camb). 2025 Aug 19;3. doi: 10.1162/IMAG.a.117. eCollection 2025.
2
Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain.精确功能图谱显示,儿童与成人大脑的个体间变异性较小。
bioRxiv. 2025 Jul 24:2025.07.21.665760. doi: 10.1101/2025.07.21.665760.
3
An examination of the reliability of seed-to-seed resting state functional connectivity in tinnitus patients.

本文引用的文献

1
Prediction of individual brain maturity using fMRI.利用 fMRI 预测个体大脑成熟度。
Science. 2010 Sep 10;329(5997):1358-61. doi: 10.1126/science.1194144.
2
Typical and atypical development of functional human brain networks: insights from resting-state FMRI.功能性人类大脑网络的典型和非典型发育:静息态 fMRI 的新见解。
Front Syst Neurosci. 2010 May 21;4:21. doi: 10.3389/fnsys.2010.00021. eCollection 2010.
3
Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients.默认网络连接反映了非语言交流脑损伤患者的意识水平。
耳鸣患者种子到种子静息态功能连接的可靠性研究。
Neuroimage Rep. 2023 Feb 15;3(1):100158. doi: 10.1016/j.ynirp.2023.100158. eCollection 2023 Mar.
4
Sex, Neural Networks, and Behavioral Symptoms Among Adolescents With Multisite Pain.患有多部位疼痛的青少年的性别、神经网络与行为症状
JAMA Netw Open. 2025 Apr 1;8(4):e255364. doi: 10.1001/jamanetworkopen.2025.5364.
5
The lifelong nonlinear development of spatial variability of brain signals.大脑信号空间变异性的终身非线性发展。
Commun Biol. 2025 Mar 26;8(1):500. doi: 10.1038/s42003-025-07939-7.
6
Identifying individual brain development using multimodality brain network.利用多模态脑网络识别个体脑发育。
Commun Biol. 2024 Sep 17;7(1):1163. doi: 10.1038/s42003-024-06876-1.
7
Resting-state functional connectivity in children cooled for neonatal encephalopathy.新生儿脑病低温治疗患儿的静息态功能连接
Brain Commun. 2024 Apr 29;6(3):fcae154. doi: 10.1093/braincomms/fcae154. eCollection 2024.
8
Reversibility of Cognitive Deficits and Functional Connectivity With Transfusion in Children With Sickle Cell Disease.镰状细胞病患儿输血后认知功能障碍和功能连接的可逆性。
Neurology. 2024 May 28;102(10):e209429. doi: 10.1212/WNL.0000000000209429. Epub 2024 May 6.
9
Central Executive and Default Mode Networks: An Appraisal of Executive Function and Social Skill Brain-Behavior Correlates in Youth with Autism Spectrum Disorder.中央执行网络和默认模式网络:自闭症谱系障碍青少年执行功能和社交技能的脑-行为相关性评估。
J Autism Dev Disord. 2024 May;54(5):1882-1896. doi: 10.1007/s10803-023-05961-4. Epub 2023 Mar 29.
10
Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing.少即是多:用数据驱动的去噪方法在 fMRI 中平衡降噪和数据保留。
Neuroimage. 2023 Apr 15;270:119972. doi: 10.1016/j.neuroimage.2023.119972. Epub 2023 Feb 25.
Brain. 2010 Jan;133(Pt 1):161-71. doi: 10.1093/brain/awp313. Epub 2009 Dec 23.
4
Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach.可靠的内在连通性网络:使用 ICA 和双回归方法的测试-重测评估。
Neuroimage. 2010 Feb 1;49(3):2163-77. doi: 10.1016/j.neuroimage.2009.10.080. Epub 2009 Nov 5.
5
Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization.内在功能连接作为人类连接组学的工具:理论、性质和优化。
J Neurophysiol. 2010 Jan;103(1):297-321. doi: 10.1152/jn.00783.2009. Epub 2009 Nov 4.
6
The oscillating brain: complex and reliable.振荡的大脑:复杂而可靠。
Neuroimage. 2010 Jan 15;49(2):1432-45. doi: 10.1016/j.neuroimage.2009.09.037. Epub 2009 Sep 24.
7
Test-retest reproducibility of the default-mode network in healthy individuals.健康个体默认模式网络的重测信度。
Hum Brain Mapp. 2010 Feb;31(2):237-46. doi: 10.1002/hbm.20860.
8
Development of large-scale functional brain networks in children.儿童大规模功能性脑网络的发育
PLoS Biol. 2009 Jul;7(7):e1000157. doi: 10.1371/journal.pbio.1000157. Epub 2009 Jul 21.
9
Effects of model-based physiological noise correction on default mode network anti-correlations and correlations.基于模型的生理噪声校正对默认模式网络反相关和相关性的影响。
Neuroimage. 2009 Oct 1;47(4):1448-59. doi: 10.1016/j.neuroimage.2009.05.012. Epub 2009 May 14.
10
Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies.静息态功能连接磁共振成像中的相关性与反相关性:预处理策略的定量比较
Neuroimage. 2009 Oct 1;47(4):1408-16. doi: 10.1016/j.neuroimage.2009.05.005. Epub 2009 May 13.