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Assessing Reorganisation of Functional Connectivity in the Infant Brain

机译:评估婴儿大脑功能连接的重组

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摘要

As maturation of neural networks continues throughout childhood, brain lesions insulting immature networks have different impact on brain function than lesions obtained after full network maturation. Thus, longitudinal studies and analysis of spatial and temporal brain signal correlations are a key component to get a deeper understanding of individual maturation processes, their interaction and their link to cognition. Here, we assess the connectivity pattern deviation of developing resting state networks after ischaemic stroke of children between 7 and 17 years. We propose a method to derive a reorganisational score to detect target regions for overtaking affected functional regions within a stroke location. The evaluation is performed using rs-fMRI data of 16 control subjects and 16 stroke patients. The developing functional connectivity affected by ischaemic stroke exhibits significant differences to the control cohort. This suggests an influence of stroke location and developmental stage on regenerating processes and the reorganisational patterns.
机译:随着整个儿童时期神经网络的成熟持续,侮辱未成熟网络的大脑病变对大脑功能的影响与完全网络成熟后获得的病变不同。因此,对时空脑信号相关性进行纵向研究和分析是深入了解各个成熟过程,它们之间的相互作用以及它们与认知的联系的关键组成部分。在这里,我们评估了7至17岁儿童缺血性卒中后发展中的静息状态网络的连通性模式偏差。我们提出一种方法来获取重组分数,以检测目标区域以超越中风位置内的受影响功能区域。使用16名对照受试者和16名中风患者的rs-fMRI数据进行评估。受缺血性卒中影响的发育性功能连接性与对照组相比有显着差异。这表明中风的位置和发育阶段对再生过程和重组模式的影响。

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  • 会议地点 Quebec City(CA)
  • 作者单位

    Institute of Computer Aided Automation - Computer Vision Lab,Vienna University of Technology, Vienna, Austria,Department of Biomedical Imaging and Image-guided Therapy - Computational Imaging Research Lab, Medical University of Vienna, Vienna, Austria;

    Department of Biomedical Imaging and Image-guided Therapy - Computational Imaging Research Lab, Medical University of Vienna, Vienna, Austria;

    Department of Biomedical Imaging and Image-guided Therapy - Computational Imaging Research Lab, Medical University of Vienna, Vienna, Austria;

    Department of Biomedical Imaging and Image-guided Therapy - Computational Imaging Research Lab, Medical University of Vienna, Vienna, Austria;

    Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria;

    Department of Radiology, Martinos Center, MGH, Harvard Medical School, Boston, USA;

    Department of Biomedical Imaging and Image-guided Therapy - Computational Imaging Research Lab, Medical University of Vienna, Vienna, Austria;

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