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Assessing Reorganisation of Functional Connectivity in the Infant Brain

  • Roxane Licandro
  • Karl-Heinz Nenning
  • Ernst Schwartz
  • Kathrin Kollndorfer
  • Lisa Bartha-Doering
  • Hesheng Liu
  • Georg Langs
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10554)

Abstract

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.

Notes

Acknowledgement

This work was co-funded by the Oesterreichische Nationalbank (Anniversary Fund, project number 15356), by the FWF under KLI 544-B27 and I 2714-B31, by the European Commision FP7-PEOPLE-2013-IAPP 610872 and by ZIT Life Sciences 2014 (1207843).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Roxane Licandro
    • 1
    • 2
  • Karl-Heinz Nenning
    • 2
  • Ernst Schwartz
    • 2
  • Kathrin Kollndorfer
    • 2
  • Lisa Bartha-Doering
    • 3
  • Hesheng Liu
    • 4
  • Georg Langs
    • 2
  1. 1.Institute of Computer Aided Automation - Computer Vision LabVienna University of TechnologyViennaAustria
  2. 2.Department of Biomedical Imaging and Image-guided Therapy - Computational Imaging Research LabMedical University of ViennaViennaAustria
  3. 3.Department of Pediatrics and Adolescent MedicineMedical University of ViennaViennaAustria
  4. 4.Department of Radiology, Martinos Center, MGHHarvard Medical SchoolBostonUSA

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