[en] In the adult brain, structural and functional parameters, such as synaptic sizes and neuronal firing rates, follow right-skewed and heavy-tailed distributions. While this organization is thought to have significant implications, its development is still largely unknown. Here, we address this knowledge gap by investigating a large-scale dataset recorded from the prefrontal cortex and the olfactory bulb of mice aged 4-60 postnatal days. We show that firing rates and spike train interactions have a largely stable distribution shape throughout the first 60 postnatal days and that the prefrontal cortex displays a functional small-world architecture. Moreover, early brain activity exhibits an oligarchical organization, where high-firing neurons have hub-like properties. In a neural network model, we show that analogously right-skewed and heavy-tailed synaptic parameters are instrumental to consistently recapitulate the experimental data. Thus, functional and structural parameters in the developing brain are already extremely distributed, suggesting that this organization is preconfigured and not experience dependent.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Chini, Mattia ; Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Electronic address: mattia.chini@zmnh.uni-hamburg.de
Hnida, Marilena; Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Kostka, Johanna K; Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Chen, Yu-Nan; Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Hanganu-Opatz, Ileana L; Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Language :
English
Title :
Preconfigured architecture of the developing mouse brain.
We thank Sebastian Bitzenhofer and Irina Pochinok for valuable discussions and feedback on the manuscript and P. Putthoff, A. Marquardt, and A. Dahlmann for excellent technical assistance. This work was funded by grants from the European Research Council (ERC-2015-CoG 681577to I.L.H.-O.), Marie Curie Training Network euSNN (MSCA-ITN-H2020-860563 to I.L.H.-O.), Horizon2020 DEEPER 101016787, the German Research Foundation (437610067, 178316478, and 302153259 to I.L.H.-O.), and Landesforschungsf\u00F6rderung Hamburg (LFF76 and LFF73 to I.L.H.-O.). M.C. and I.L.H.-O. designed the experiments and wrote the manuscript. M.C. J.K.K. M.H. and Y.-N.C. carried out the experiments. M.C. analyzed the experimental data and carried out neural network modeling. All authors interpreted the data and discussed and commented on the manuscript. The authors declare no competing interests.We thank Sebastian Bitzenhofer and Irina Pochinok for valuable discussions and feedback on the manuscript and P. Putthoff, A. Marquardt, and A. Dahlmann for excellent technical assistance. This work was funded by grants from the European Research Council ( ERC-2015-CoG 681577 to I.L.H.-O.), Marie Curie Training Network euSNN ( MSCA-ITN-H2020-860563 to I.L.H.-O.), Horizon2020 DEEPER 101016787 , the German Research Foundation ( 437610067 , 178316478 , and 302153259 to I.L.H.-O.), and Landesforschungsf\u00F6rderung Hamburg ( LFF76 and LFF73 to I.L.H.-O.).
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