Development of Large-Scale Functional Brain Networks in Children

By Kaustubh Supekar, Mark A. Musen, Vinod Menon. PLoS Biology, 2009

846 citations recorded by the source corpus.

Large-scale rewiring of brain circuits in children leads to emergence of hierarchical organization in the mature adult brain.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/c9bae427569a65af134aa596c98e248aac945983

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Olaf Sporns
2. D. Bassett
3. Yong He
4. Xi-Nian Zuo
5. E. Bullmore
6. Martijn P. van den Heuvel
7. Vinod Menon
8. Michael P. Milham

In Radiology, Nuclear Medicine and Imaging

1. Olaf Sporns
2. D. Bassett
3. Yong He
4. E. Bullmore
5. Xi-Nian Zuo
6. Alan C. Evans
7. Martijn P. van den Heuvel
8. Jinhui Wang

Citations in the corpus

• Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “…had found that functional connectivity between anatomically proximate ROIs gradually decreased, whereas long-range functional connections, especially anterior-posterior links, gradually increased until adulthood (Dosenbach et al., 2010; Fair et al., 2009; Kelly et al., 2009; Supekar et al., 2009).”
• Development of functional and structural connectivity within the default mode network in young children (2010, background): “Thus,while long-range functional connectivity is typically weaker in children (Fair et al., 2007; Supekar et al., 2009), our results demonstrate that this is not uniformly the casewithin all nodes of the DMN.”
• Interactive specialization: a domain-general framework for human functional brain development? (2011, positive): “…the increase in functional connectivity during development may occur after the relevant long-range fibre bundles are in place (see Fair et al., 2009; Supekar et al., 2009 for discussion) suggesting that we still require an account of why functional connectivity may expand from local to long-range.”
• Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks (2010, background): “, [95] have compared graph analysis of fcMRI data of 23 children (7–9 years) with”
• Imaging brain development: The adolescent brain (2012, background): “Recent studies have employed rsfMRI to describe changes in functional networks across different developmental periods (Fair et al., 2007, 2008, 2009; Supekar et al., 2009; see Power et al., 2010 for a review).”
• The Organization of Local and Distant Functional Connectivity in the Human Brain (2010, background): “Future work will be needed in order to include additional information regarding surface distance and ideally white matter tract path lengths (to approximate this approach see an example in [66]).”
• Time-frequency dynamics of resting-state brain connectivity measured with fMRI (2009, neutral): “Previous studies have demonstrated dynamic changes in network connectivity throughout development (Fair et al., 2008; Supekar et al., 2009), aging (Beason-Held et al.”
• Can structure predict function in the human brain? (2010, neutral): “While diffusion-imaging based SC mapping is yet to be systematically assessed across the course of human brain development, several cross-sectional studies have examined the developmental trajectories of FC (Fair et al., 2007; Fair et al., 2009; Supekar et al., 2009).”
• Structural foundations of resting-state and task-based functional connectivity in the human brain (2013, background): “Changes in resting and task-driven FC have been linked to both development (27, 28) and aging (29, 30).”