UP-DOWN cortical dynamics reflect state transitions in a bistable network
Jercog, Daniel (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Roxin, Alex (Centre de Recerca Matemàtica)
Barthó, Peter (MTA TTK NAP B. Research Group of Sleep Oscillations)
Luczak, Artur (University of Lethbridge. Canadian Center for Behavioural Neuroscience)
Compte, Albert (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
de la Rocha, Jaime (Institut d'Investigacions Biomèdiques August Pi i Sunyer)

Fecha:	2017
Resumen:	In the idling brain, neuronal circuits transition between periods of sustained firing (UP state) and quiescence (DOWN state), a pattern the mechanisms of which remain unclear. Here we analyzed spontaneous cortical population activity from anesthetized rats and found that UP and DOWN durations were highly variable and that population rates showed no significant decay during UP periods. We built a network rate model with excitatory (E) and inhibitory (I) populations exhibiting a novel bistable regime between a quiescent and an inhibition-stabilized state of arbitrarily low rate. Fluctuations triggered state transitions, while adaptation in E cells paradoxically caused a marginal decay of E-rate but a marked decay of I-rate in UP periods, a prediction that we validated experimentally. A spiking network implementation further predicted that DOWN-to-UP transitions must be caused by synchronous high-amplitude events. Our findings provide evidence of bistable cortical networks that exhibit non-rhythmic state transitions when the brain rests.
Ayudas:	European Commission 268382 European Commission 229673 Ministerio de Economía y Competitividad SAF2015-70324-R Ministerio de Economía y Competitividad SAF2013-46717-R Ministerio de Economía y Competitividad BFU2012-34838 Ministerio de Ciencia e Innovación RYC-2011-08755 Ministerio de Ciencia e Innovación SAF2010-15730 Ministerio de Ciencia e Innovación RYC-2009-04829 Ministerio de Ciencia e Innovación BFU2009-09537
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Cortical circuit ; Up down states ; Bistability ; Computational network model ; Rat
Publicado en:	eLife, Vol. 6 (August 2017) , art. e22425, ISSN 2050-084X

DOI: 10.7554/eLife.22425
PMID: 28826485

33 p, 2.5 MB

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