Assessing Reorganisation of Functional Connectivity in the Infant Brain
- 1.4k Downloads
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.
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).
- 4.Casey, B., Tottenham, N., Liston, C., Durston, S.: Imaging the developing brain: what have we learned about cognitive development? TiCS 9(3), 104–110 (2005)Google Scholar
- 9.Huttenlocher, P.R.: Neural Plasticity: The Effects of Environment on the Development of the Cerebral Cortex. Harvard University Press, Cambridge (2002)Google Scholar
- 14.La Corte, V., Sperduti, M., Malherbe, C., Vialatte, F., Lion, S., Gallarda, T., Oppenheim, C., Piolino, P.: Cognitive decline and reorganization of functional connectivity in healthy aging: the pivotal role of the salience network in the prediction of age and cognitive performances. Front. Aging Neurosci. 8, 204 (2016)CrossRefGoogle Scholar
- 20.Yeo, B.T.T., Krienen, F.M., Sepulcre, J., Sabuncu, M.R., Lashkari, D., Hollinshead, M., Roffman, J.L., Smoller, J.W., Zöllei, L., Polimeni, J.R., Fischl, B., Liu, H., Buckner, R.L.: The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106(3), 1125–65 (2011)CrossRefGoogle Scholar