10.7554/eLife.26177
https://zenodo.org/records/800579
oai:zenodo.org:800579
Zucca, Stefano
Stefano
Zucca
Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy
D'Urso, Giulia
Giulia
D'Urso
Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy
Pasquale, Valentina
Valentina
Pasquale
Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy
Vecchia, Dania
Dania
Vecchia
Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy
Pica, Giuseppe
Giuseppe
Pica
Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy; Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
Bovetti, Serena
Serena
Bovetti
Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy
Moretti, Claudio
Claudio
Moretti
Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy
Varani, Stefano
Stefano
Varani
Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy
Molano-Mazón, Manuel
Manuel
Molano-Mazón
Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy; Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
Chiappalone, Michela
Michela
Chiappalone
Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy
Panzeri, Stefano
Stefano
Panzeri
Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy; Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
Fellin, Tommaso
Tommaso
Fellin
Optical Approaches to Brain Function Laboratory, Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy
An inhibitory gate for state transition in cortex
Zenodo
2017
mouse
oscillations
neocortex
optogenetics
parvalbumin positive interneuron
somatostatin positive interneuron
2017-05-16
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
Large scale transitions between active (up) and silent (down) states during quiet wakefulness or NREM sleep regulate fundamental cortical functions and are known to involve both excitatory and inhibitory cells. However, if and how inhibition regulates these activity transitions is unclear. Using fluorescence-targeted electrophysiological recording and cell-specific optogenetic manipulation in both anesthetized and non-anesthetized mice, we found that two major classes of interneurons, the parvalbumin and the somatostatin positive cells, tightly control both up-to-down and down-to-up state transitions. Inhibitory regulation of state transition was observed under both natural and optogenetically-evoked conditions. Moreover, perturbative optogenetic experiments revealed that the inhibitory control of state transition was interneuron-type specific. Finally, local manipulation of small ensembles of interneurons affected cortical populations millimetres away from the modulated region. Together, these results demonstrate that inhibition potently gates transitions between cortical activity states, and reveal the cellular mechanisms by which local inhibitory microcircuits regulate state transitions at the mesoscale.
Paper published in eLife: https://elifesciences.org/content/6/e26177
This work was supported by the ERC (NEURO-PATTERNS), NIH (1U01NS090576-01), FP7 (DESIRE), MIUR FIRB (RBAP11X42L) to TF, and, in part, from Flag-Era JTC Human Brain Project (SLOW-DYN) to TF and SP. M.M-M has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 699829.
European Commission
10.13039/501100000780
699829
Encoding and Transmission of Information in the Mouse Somatosensory Cortex
European Commission
10.13039/501100000780
647725
How neuronal activity patterns drive behavior: novel all-optical control and monitoring of brain neuronal networks with high spatiotemporal resolution