Human Connectomics across the Life Span

Xi Nian Zuo, Ye He, Richard F. Betzel, Stan Colcombe, Olaf Sporns, Michael P. Milham

Research output: Contribution to journalReview articlepeer-review

156 Scopus citations

Abstract

Connectomics has enhanced our understanding of neurocognitive development and decline by the integration of network sciences into studies across different stages of the human life span. However, these studies commonly occurred independently, missing the opportunity to test integrated models of the dynamical brain organization across the entire life span. In this review article, we survey empirical findings in life-span connectomics and propose a generative framework for computationally modeling the connectome over the human life span. This framework highlights initial findings that across the life span, the human connectome gradually shifts from an ‘anatomically driven’ organization to one that is more ‘topological’. Finally, we consider recent advances that are promising to provide an integrative and systems perspective of human brain plasticity as well as underscore the pitfalls and challenges.

Original languageEnglish (US)
Pages (from-to)32-45
Number of pages14
JournalTrends in Cognitive Sciences
Volume21
Issue number1
DOIs
StatePublished - Jan 1 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016 Elsevier Ltd

Keywords

  • brain network
  • connectomics
  • data sharing
  • generative model
  • life-span development
  • normative trajectory

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