Correlation Between Axonal Morphologies and Synaptic Input Kinetics of Interneurons from Mouse Visual Cortex (original) (raw)

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1Howard Hughes Medical Institute, Department of Biological Sciences, Columbia University, New York, NY 10027, USA

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1Howard Hughes Medical Institute, Department of Biological Sciences, Columbia University, New York, NY 10027, USA

3Current address: Institut de Neurobiologie de la Mediterranée, Institut National de la Santé et de la Recherche Médicale, U29, 13673 Marseille, France

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2Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA

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1Howard Hughes Medical Institute, Department of Biological Sciences, Columbia University, New York, NY 10027, USA

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Published:

08 February 2006

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Daniella Dumitriu, Rosa Cossart, Josh Huang, Rafael Yuste, Correlation Between Axonal Morphologies and Synaptic Input Kinetics of Interneurons from Mouse Visual Cortex, Cerebral Cortex, Volume 17, Issue 1, January 2007, Pages 81–91, https://doi.org/10.1093/cercor/bhj126
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Abstract

Neocortical interneurons display great morphological and physiological variability and are ideally positioned to control circuit dynamics, although their exact role is still poorly understood. To better understand this diversity, we have performed a detailed anatomical and physiological characterization of 3 subtypes of visual cortex interneurons, isolated from transgenic mice which express green fluorescent protein in somatostatin, parvalbumin, and neuropeptide Y positive neurons. We find that these 3 groups of interneurons have systematic differences in dendritic and axonal morphologies and also characteristically differ in the frequencies, amplitude, and kinetics of the spontaneous excitatory and inhibitory synaptic currents they receive. Moreover, we detect a correlation between the kinetics of their synaptic inputs and quantitative aspects of their axonal arborizations. This suggests that different interneuron types could channel different temporal patterns of activity. Our results also confirm the importance of the axonal morphology to classify interneurons.

© The Author 2006. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

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