Ultra-slow oscillations in cortical networks in vitro

An ultra-slow oscillation (<0.01 Hz) in the network-wide activity of dissociated cortical networks is described in this article. This slow rhythm is characterized by the recurrence of clusters of large synchronized bursts of activity lasting approximately 1-3 min, separated by an almost equivalent interval of relatively smaller bursts. Such rhythmic activity was detected in cultures starting from the fourth week in vitro. Our analysis revealed that the propagation motifs of constituent bursts were strongly conserved across multiple oscillation cycles, and these motifs were more consistent at the electrode level compared with the neuronal level.

[1]  G. Buzsáki,et al.  Sequential structure of neocortical spontaneous activity in vivo , 2007, Proceedings of the National Academy of Sciences.

[2]  J. Born,et al.  Slow oscillation electrical brain stimulation during waking promotes EEG theta activity and memory encoding , 2009, Proceedings of the National Academy of Sciences.

[3]  R. Quian Quiroga,et al.  Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering , 2004, Neural Computation.

[4]  H. Robinson,et al.  The mechanisms of generation and propagation of synchronized bursting in developing networks of cortical neurons , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[5]  A Kawana,et al.  Periodic synchronized bursting and intracellular calcium transients elicited by low magnesium in cultured cortical neurons. , 1993, Journal of neurophysiology.

[6]  Maria V. Sanchez-Vives,et al.  Temperature modulation of slow and fast cortical rhythms. , 2010, Journal of neurophysiology.

[7]  Thoralf Opitz,et al.  Spontaneous development of synchronous oscillatory activity during maturation of cortical networks in vitro. , 2002, Journal of neurophysiology.

[8]  G Buzsáki,et al.  Ultra-slow oscillation (0.025 Hz) triggers hippocampal afterdischarges in Wistar rats , 1999, Neuroscience.

[9]  Q. Luo,et al.  Transient alterations in slow oscillations of hippocampal networks by low-frequency stimulations on multi-electrode arrays , 2010, Biomedical microdevices.

[10]  M. Steriade,et al.  A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[11]  R. Segev,et al.  Hidden neuronal correlations in cultured networks. , 2004, Physical review letters.

[12]  T.B. DeMarse,et al.  MeaBench: A toolset for multi-electrode data acquisition and on-line analysis , 2005, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005..

[13]  Spontaneous and Evoked Oscillations in Cultured Mammalian Neuronal Networks , 1999 .

[14]  R. Metherate,et al.  Ionic flux contributions to neocortical slow waves and nucleus basalis- mediated activation: whole-cell recordings in vivo , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[15]  Vincenzo Crunelli,et al.  Cellular Mechanisms of the Slow (<1 Hz) Oscillation in Thalamocortical Neurons In Vitro , 2002, Neuron.

[16]  P. Achermann,et al.  Low-frequency (<1Hz) oscillations in the human sleep electroencephalogram , 1997, Neuroscience.

[17]  D. Kleinfeld,et al.  Finding coherence in spontaneous oscillations , 2008, Nature Neuroscience.

[18]  D Contreras,et al.  Mechanisms of long‐lasting hyperpolarizations underlying slow sleep oscillations in cat corticothalamic networks. , 1996, The Journal of physiology.

[19]  Vincenzo Crunelli,et al.  ATP-Dependent Infra-Slow (<0.1 Hz) Oscillations in Thalamic Networks , 2009, PloS one.

[20]  Steve M. Potter,et al.  An extremely rich repertoire of bursting patterns during the development of cortical cultures , 2006, BMC Neuroscience.

[21]  Dejan Markovic,et al.  Technology-Aware Algorithm Design for Neural Spike Detection, Feature Extraction, and Dimensionality Reduction , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[22]  Steve M. Potter,et al.  Persistent dynamic attractors in activity patterns of cultured neuronal networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Maria V. Sanchez-Vives,et al.  Cellular and network mechanisms of rhythmic recurrent activity in neocortex , 2000, Nature Neuroscience.

[24]  Steve M. Potter,et al.  A new approach to neural cell culture for long-term studies , 2001, Journal of Neuroscience Methods.

[25]  T. Sejnowski,et al.  Origin of slow cortical oscillations in deafferented cortical slabs. , 2000, Cerebral cortex.

[26]  William H. Press,et al.  Numerical recipes in C , 2002 .

[27]  E. Ben-Jacob,et al.  Identifying repeating motifs in the activation of synchronized bursts in cultured neuronal networks , 2008, Journal of Neuroscience Methods.

[28]  M. Corner,et al.  Dynamics and plasticity in developing neuronal networks in vitro. , 2005, Progress in brain research.

[29]  Steve M. Potter,et al.  Plasticity of recurring spatiotemporal activity patterns in cortical networks , 2007, Physical biology.

[30]  D. Contreras,et al.  The slow (< 1 Hz) oscillation in reticular thalamic and thalamocortical neurons: scenario of sleep rhythm generation in interacting thalamic and neocortical networks , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[31]  D. McCormick,et al.  Turning on and off recurrent balanced cortical activity , 2003, Nature.

[32]  J. Palva,et al.  Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[33]  J. Born,et al.  Boosting slow oscillations during sleep potentiates memory , 2006, Nature.