caa a22 4500 445295104 CHVBK 20180317142539.0 cr unu---uuuuu 170323e20100601xx s 000 0 eng 10.1007/s11571-010-9103-3 doi (NATIONALLICENCE)springer-10.1007/s11571-010-9103-3 Synchronized changes to relative neuron populations in postnatal human neocortical development [Elektronische Daten] [David Cooper, James Gentle, Ernest Barreto, James Olds] Mammalian prenatal neocortical development is dominated by the synchronized formation of the laminae and migration of neurons. Postnatal development likewise contains "sensitive periods” during which functions such as ocular dominance emerge. Here we introduce a novel neuroinformatics approach to identify and study these periods of active development. Although many aspects of the approach can be used in other studies, some specific techniques were chosen because of a legacy dataset of human histological data (Conel in The postnatal development of the human cerebral cortex, vol 1-8. Harvard University Press, Cambridge, 1939-1967). Our method calculates normalized change vectors from the raw histological data, and then employs k-means cluster analysis of the change vectors to explore the population dynamics of neurons from 37 neocortical areas across eight postnatal developmental stages from birth to 72months in 54 subjects. We show that the cortical "address” (Brodmann area/sub-area and layer) provides the necessary resolution to segregate neuron population changes into seven correlated "k-clusters” in k-means cluster analysis. The members in each k-cluster share a single change interval where the relative share of the cortex by the members undergoes its maximum change. The maximum change occurs in a different change interval for each k-cluster. Each k-cluster has at least one totally connected maximal "clique” which appears to correspond to cortical function. Springer Science+Business Media B.V., 2010 Sensorimotor nationallicence Network clique nationallicence Broca's area nationallicence Primary visual cortex nationallicence Retrosplenial cortex nationallicence Cooper David Doctoral Program in Neuroscience, George Mason University, 22030, Fairfax, VA, USA aut Gentle James Department of Computational and Data Sciences, George Mason University, 22030, Fairfax, VA, USA aut Barreto Ernest Department of Physics & Astronomy, the Krasnow Institute for Advanced Study, George Mason University, 22030, Fairfax, VA, USA aut Olds James Department of Molecular Neuroscience, Krasnow Institute for Advanced Study, George Mason University, 4400 University Dr., 22030, Fairfax, VA, USA aut Cognitive Neurodynamics Springer Netherlands 4/2(2010-06-01), 151-163 1871-4080 4:2<151 2010 4 11571 https://doi.org/10.1007/s11571-010-9103-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11571-010-9103-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cooper David Doctoral Program in Neuroscience, George Mason University, 22030, Fairfax, VA, USA aut NATIONALLICENCE 700 1- Gentle James Department of Computational and Data Sciences, George Mason University, 22030, Fairfax, VA, USA aut NATIONALLICENCE 700 1- Barreto Ernest Department of Physics & Astronomy, the Krasnow Institute for Advanced Study, George Mason University, 22030, Fairfax, VA, USA aut NATIONALLICENCE 700 1- Olds James Department of Molecular Neuroscience, Krasnow Institute for Advanced Study, George Mason University, 4400 University Dr., 22030, Fairfax, VA, USA aut NATIONALLICENCE 773 0- Cognitive Neurodynamics Springer Netherlands 4/2(2010-06-01), 151-163 1871-4080 4:2<151 2010 4 11571 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer