Human Connectomics across the Life Span

详细信息    查看全文

• 作者：Xi-Nian Zuo¹ ; ² ; ³ ; ⁴ ; ⁵ ; ^@ ; ^{zuoxn@psych.ac.cn} ; ^{zuoxinian@gmail.com} ; Ye He¹ ; ² ; ³ ; ⁶ ; Richard F. Betzel⁷ ; Stan Colcombe⁸ ; Olaf Sporns⁶ ; Michael P. Milham⁸ ; ⁹ ; ^{Michael.Milham@childmind.org}
• 关键词：brain network ; connectomics ; data sharing ; generative model ; life-span development ; normative trajectory
• 刊名：Trends in Cognitive Sciences
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：21
• 期：1
• 页码：32-45
• 全文大小：2465 K
• 卷排序：21

文摘

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.