| Literature DB >> 27865786 |
Xi-Nian Zuo1, Ye He2, Richard F Betzel3, Stan Colcombe4, Olaf Sporns5, Michael P Milham6.
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.Entities:
Keywords: brain network; connectomics; data sharing; generative model; life-span development; normative trajectory
Mesh:
Year: 2016 PMID: 27865786 DOI: 10.1016/j.tics.2016.10.005
Source DB: PubMed Journal: Trends Cogn Sci ISSN: 1364-6613 Impact factor: 20.229