English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Book Chapter

Early childhood

MPS-Authors
/persons/resource/persons38901

Hübener,  Mark
Department: Synapses-Circuits-Plasticity / Bonhoeffer, MPI of Neurobiology, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

SFR25_07_Kaschube GR.pdf
(Any fulltext), 884KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Kaschube, M., Nelson III, C. A., Benasich, A. A., Buzsáki, G., Gressens, P., Hensch, T. K., et al. (2018). Early childhood. In A. A. Benasich, & U. Ribary (Eds.), Emergent Brain Dynamics: Prebirth to Adolescence (pp. 101-123). Cambridge, MA: MIT Press.


Cite as: https://hdl.handle.net/21.11116/0000-0003-B50C-4
Abstract
During the first years after birth, infants face the enormous task of building a compre-
hensive and predictive internal model of the external world, allowing them to navigate
and interact successfully with their environment. This chapter explores the frontiers involved in understanding the neural bases of this process and how such knowledge could be leveraged to treat and prevent neurodevelopmental disorders. It begins by describing how developing brains form dynamical networks that integrate genetic, epigenetic, and sensory information, emphasizing the interplay between molecules and neural activity.
Strategies are highlighted that the brain uses to tightly control the impact of sensory input onto its developing networks, which are manifest at the molecular, neural activity, and behavioral levels, and which appear pivotal as the brain strives to maintain a fine balance of flexible yet stable configuration. While suitable animal models have greatly contributed to our basic understanding of neural development, revealing the neural basis of cognitive development in humans remains a challenge. To overcome this barrier, new directions are discussed that combine animal and human studies. Finally, this chapter discusses implications of the complexity of the human brain and highlights the potential of data-driven formal models of neurodevelopmental trajectories to enable early detection and individualized treatment of developmental disorders.