Cortical NO interneurons: from embryogenesis to functions

111.1K

views

51

authors

14

articles

Cortical NO interneurons: from embryogenesis to functions

111.1K

views

51

authors

14

articles

Editorial

03 June 2013

Cortical NO interneurons: from embryogenesis to functions

Ludovic Tricoire

,

Yoshiyuki Kubota

and

Bruno Cauli

4,374 views

5 citations

Editors

3

Bruno Cauli

Centre National de la Recherche Scientifique (CNRS)

Yoshiyuki Kubota

National Institute for Physiological Sciences (NIPS)

Ludovic Tricoire

Sorbonne Universités

Impact

About

Neuronal processing and physiology rely on a delicate interplay between glutamatergic excitatory neurons and GABAergic inhibitory interneurons in a spatially, temporally and cell-type specific manner. Understanding these processes is complicated further by the large diversity characterizing the cerebral cortex. Although recent advances have significantly improved our knowledge of its neuronal types, the identity and the roles of several subpopulations of GABAergic interneurons remain elusive. Presumably, because of their apparent paucity, their diversity, the highly labile nature of nitric oxide (NO) as well as its pleiotropic actions, the functional importance of NO-producing GABAergic interneurons is particularly enigmatic. This Research Topic will cover the different aspects of cortical NO interneurons, from their diversity, embryonic origins to their functions in the cortical circuit and physiology.

1. Diversity and areal distribution
2. Embryonic origins
3. Inputs and outputs: intracortical and subcortical afferences, cellular targets
4. NO detection: amperometry and NO imaging
5. Physiological roles: synaptic plasticity, sleep, blood flow control

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Editors

Bruno Cauli

Centre National de la Recherche Scientifique (CNRS)

Yoshiyuki Kubota

National Institute for Physiological Sciences (NIPS)

Ludovic Tricoire

Sorbonne Universités

Impact

111,136 Total views

84,651 Article views

24,285 Article downloads

2,200 Topic views

Published In

Frontiers in Neural Circuits

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