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Trends Cogn Sci. 2017 Jan;21(1):32-45. doi: 10.1016/j.tics.2016.10.005. Epub 2016 Nov 16.

Human Connectomics across the Life Span.

Author information

1
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Beijing, China; Lifespan Connectomics and Behavior Team, Institute of Psychology, Beijing, China; Key Laboratory for Brain and Education Sciences, Guangxi Teachers Education University, Nanning, Guangxi, China; Center for Longevity Research, Guangxi Teachers Education University, Nanning, Guangxi, China. Electronic address: zuoxn@psych.ac.cn.
2
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Beijing, China; Lifespan Connectomics and Behavior Team, Institute of Psychology, Beijing, China; Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
3
Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
4
Nathan S. Kline Institute for Psychiatric Research, Orangeburg, SC, USA.
5
Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
6
Nathan S. Kline Institute for Psychiatric Research, Orangeburg, SC, USA; Center for the Developing Brain, Child Mind Institute, New York, NY, USA. Electronic address: Michael.Milham@childmind.org.

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.

KEYWORDS:

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

PMID:
27865786
DOI:
10.1016/j.tics.2016.10.005
[Indexed for MEDLINE]

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