RT Journal Article
T1 Robust Off- and Online Separation of Intracellularly Recorded Up and Down Cortical States
A1 Seamari, Yamina
A1 Narváez-Bueno, José Ángel
A1 Vico-Vela, Francisco José
A1 Lobo Fernández, Daniel
A1 Sánchez Vives, María Victoria
K1 Neurología - Proceso de datos
AB Background. The neuronal cortical network generates slow (<1 Hz) spontaneous rhythmic activity that emerges from therecurrent connectivity. This activity occurs during slow wave sleep or anesthesia and also in cortical slices, consisting ofalternating up (active, depolarized) and down (silent, hyperpolarized) states. The search for the underlying mechanisms andthe possibility of analyzing network dynamics in vitro has been subject of numerous studies. This exposes the need fora detailed quantitative analysis of the membrane fluctuating behavior and computerized tools to automatically characterizethe occurrence of up and down states. Methodology/Principal Findings. Intracellular recordings from different areas of thecerebral cortex were obtained from both in vitro and in vivo preparations during slow oscillations. A method that separates upand down states recorded intracellularly is defined and analyzed here. The method exploits the crossover of moving averages,such that transitions between up and down membrane regimes can be anticipated based on recent and past voltage dynamics.We demonstrate experimentally the utility and performance of this method both offline and online, the online use allowing totrigger stimulation or other events in the desired period of the rhythm. This technique is compared with a histogram-basedapproach that separates the states by establishing one or two discriminating membrane potential levels. The robustness of themethod presented here is tested on data that departs from highly regular alternating up and down states. Conclusions/Significance. We define a simple method to detect cortical states that can be applied in real time for offline processing oflarge amounts of recorded data on conventional computers. Also, the online detection of up and down states will facilitate thestudy of cortical dynamics. An open-source MATLABH toolbox, and Spike 2H-compatible version are made freely available.
YR 2007
FD 2007
LK http://hdl.handle.net/10630/6734
UL http://hdl.handle.net/10630/6734
LA eng
NO Seamari Y, Narvaez JA, Vico FJ, Lobo D, Sanchez-Vives MV (2007)  Robust Off- and Online Separation of Intracellularly Recorded Up and Down Cortical States. PLoS ONE 2(9): e888.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 5 mar 2026