4.5 Article

The developing brain structural and functional connectome fingerprint

Journal

DEVELOPMENTAL COGNITIVE NEUROSCIENCE
Volume 55, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.dcn.2022.101117

Keywords

neonate; connectivity; brain networks; diffusion MRI; functional MRI; tractography; preterm

Funding

  1. European Research Council under the European Union Seventh Framework Programme (FP/2007-2013) /ERC
  2. Wellcome Engineering and Physical Sciences Research Council (EPSRC) Centre for Medical Engineering at King's College London
  3. Medical Research Council (UK) [319456]
  4. Sackler Institute for Translational Neurodevelopment at King's College London [WT 203148/Z/16/Z]
  5. European Autism Interventions (EU-AIMS) trial [MR/K006355/1]
  6. EU AIMS-2-TRIALS, a European Innovative Medicines Initiative Joint Undertaking
  7. European Union's Seventh Framework Programme
  8. MRC Clinician Scientist Fellowship [115300, 777394]
  9. Medical Research Council Centre for Neurodevelopmental Disorders, Kings College London [FP7/2007-2013]
  10. Flemish Research Foundation (FWO) [MR/N026063/1]
  11. Wellcome Trust Seed Award in Science [217316/Z/19/Z]
  12. [MR/P008712/1]
  13. [12ZV420N]
  14. Wellcome Trust [217316/Z/19/Z] Funding Source: Wellcome Trust

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The study found that structural connectivity in early life is more stable and can represent a potential connectome fingerprint of an individual. In contrast, the similarity between functional connectomes of the same subject at different time points is low.
In the mature brain, structural and functional 'fingerprints' of brain connectivity can be used to identify the uniqueness of an individual. However, whether the characteristics that make a given brain distinguishable from others already exist at birth remains unknown. Here, we used neuroimaging data from the developing Human Connectome Project (dHCP) of preterm born neonates who were scanned twice during the perinatal period to assess the developing brain fingerprint. We found that 62% of the participants could be identified based on the congruence of the later structural connectome to the initial connectivity matrix derived from the earlier time point. In contrast, similarity between functional connectomes of the same subject at different time points was low. Only 10% of the participants showed greater self-similarity in comparison to self-to-other-similarity for the functional connectome. These results suggest that structural connectivity is more stable in early life and can represent a potential connectome fingerprint of the individual: a relatively stable structural connectome appears to support a changing functional connectome at a time when neonates must rapidly acquire new skills to adapt to their new environment.

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