Effective connectivity in the default mode network after paediatric traumatic brain injury
Author:
Affiliation:
1. Children's Learning Institute, Department of Pediatrics, McGovern Medical School University of Texas Health Science Center at Houston Houston TX USA
2. Merck & Co. Kenilworth NJ USA
3. Department of Statistics Rice University Houston TX USA
Funder
National Science Foundation
National Institutes of Health
Publisher
Wiley
Subject
General Neuroscience
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejn.15546
Reference104 articles.
1. Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study
2. Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images
3. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging
4. Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes
5. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Resting-state causal brain connectivity in youth female athletes suggest sex-related differences following subacute concussion;2024-08-06
2. Bayesian varying‐effects vector autoregressive models for inference of brain connectivity networks and covariate effects in pediatric traumatic brain injury;Human Brain Mapping;2024-06-29
3. Assessing Pediatric Mild Traumatic Brain Injury and Its Recovery Using Resting-State Magnetoencephalography Source Magnitude Imaging and Machine Learning;Journal of Neurotrauma;2023-06-01
4. Resting-state network organisation in children with traumatic brain injury;Cortex;2022-09
5. Effective connectivity between resting-state networks in depression;Journal of Affective Disorders;2022-06
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3