Neuronal oscillations

Rhythmic changes in electrical activity are observed throughout the brain and result form reciprocal interactions between excitatory and inhibitory neurons. Synchronized activity of large numbers of neurons gives rise to macroscopic oscillations in electrical activity, which can be measured in EEG recordings.

Brain oscillations display a wide variety of dynamical patterns. The same neuronal network can express multiple oscillation frequencies at the same time, or the frequency can fluctuate over time, with different distinct frequencies appearing intermittently. In addition, the amplitude of oscillations can fluctuate, with episodes of high amplitude alternating irregularly with episodes of low amplitude.

Despite the importance of neuronal oscillations for cognitive functions, little is known about how these diverse patterns of oscillatory activity are generated.

To get insight into potential mechanisms, we investigate what patterns of oscillations emerge in computational models of neuronal networks and how oscillations in one network can influence the oscillatory activity in other networks.

• H-channels affect frequency, power and amplitude fluctuations of neuronal network oscillations
  Avella Gonzalez, O. J., Mansvelder, H. D., Van Pelt, J., and Van Ooyen, A. (2015). Frontiers in Computational Neuroscience doi: 10.3389/fncom.2015.00141.
  [Abstract] [Full text: PDF] [Supplementary data: PDF]

• Inter-network interactions: impact of connections between oscillatory neuronal networks on oscillation frequency and pattern
  Avella Gonzalez, O. J., Van Aerde, K. I., Mansvelder, H. D., Van Pelt, J., and Van Ooyen, A. (2014). PloS ONE 9(7): e100899. doi:10.1371/journal.pone.0100899.
  [Abstract] [Full text: PDF] [Supporting text: PDF] [Supporting figures: PDF]

• Short term depression unmasks the ghost frequency
  Olde Scheper, T. V., Mansvelder, H. D., and Van Ooyen, A. (2012). PloS ONE 7(12): e50189. doi:10.1371/journal.pone.0050189.
  [Abstract] [Full text: PDF]

• External drive to inhibitory cells induces alternating episodes of high- and low-amplitude oscillations
  Avella Gonzalez, O. J., Van Aerde, K. I., Van Elburg, R. A. J., Poil, S-S., Mansvelder, H. D., Linkenkaer-Hansen, K., Van Pelt, J., and Van Ooyen, A. (2012). PloS Computational Biology 8(8): e1002666. doi:10.1371/journal.pcbi.1002666.
  [Abstract] [Full text: PDF] [Supporting figures: PDF]

• Novel candidate genes associated with hippocampal oscillations
  Jansen, R., Timmerman, J., Loos, M., Spijker, S., Van Ooyen, A., Brussaard, A. B., Mansvelder, H. D., The Neuro-Bsik Mouse Phenomics Consortium, Smit, A. B., De Gunst, M., and Linkenkaer-Hansen, K. (2011). PLoS ONE 6(10): e26586. doi:10.1371/journal.pone.0026586.
  [Abstract] [Full text: PDF]

• Stimulation induced transitions in spontaneous firing rates in cultured neuronal networks also occur in the presence of synaptic plasticity blocker KN93
  Van der Heiden, L., Vajda, I., Van Pelt, J., and Van Ooyen, A. (2011). In: Wang, R., and Gu, F., eds. Advances in Cognitive Neurodynamics (II). Springer, pp. 151-155.
  [Abstract] [Full text: PDF]

• Inbred mouse strains differ in multiple hippocampal activity traits
  Jansen, R., Linkenkaer-Hansen, K., Heistek, T., Timmerman, J., Mansvelder, H. D., Brussaard, A. B., De Gunst, M., and Van Ooyen, A. (2009). Eur. J. Neuroscience 30: 1092-1100.
  [Abstract] [Full text: PDF]

• Altered temporal correlations in parietal alpha and prefrontal theta oscillations in early-stage Alzheimer disease
  Montez, T., Poil, S.-S., Jones, B., Manshanden, I., Verbunt, J.P.A., Van Dijk, B. W., Brussaard, A. B., Van Ooyen, A., Stam, C. J., Scheltens, P., and Linkenkaer-Hansen, K. (2009). PNAS 106: 1614-1619.
  [Abstract] [Full text: PDF]

• Generalization of the event-based Carnevale-Hines integration scheme for integrate-and-fire models
  Van Elburg, R. A. J., and Van Ooyen, A. (2009). Neural Computation 21: 1913-1930.
  [Abstract] [Full text: PDF] [NEURON news]

• Avalanche dynamics of human brain oscillations: relation to critical branching processes and temporal correlations
  Poil, S.-S., Van Ooyen, A., and Linkenkaer-Hansen, K. (2008). Human Brain Mapping 29: 770-777.
  [Abstract] [Full text: PDF]

• Low-frequency stimulation induces stable transitions in stereotypical activity in cortical networks
  Vajda, I., Van Pelt, J., Wolters, P., Chiappalone, M., Martinoia, S., Van Someren, E., and Van Ooyen, A. (2008). Biophysical J. 94: 5028-5039.
  [Abstract] [Full text: PDF]

• Effect of low-frequency stimulation on spontaneous firing in cultured neuronal networks
  Van Pelt, J., Vajda, I., Wolters, P. S., Ramakers, G., and Van Ooyen, A. (2008). In: Wang, R., Gu, F., Shen, E., eds. Advances in Cognitive Neurodynamics. Springer, pp. 53-57.
  [Abstract] [Full text: PDF]

• Genetic contributions to long-range temporal correlations in ongoing oscillations
  Linkenkaer-Hansen, K., Smit, D. J. A., Barkil, A., Van Beijsterveldt, T. E. M., Brussaard, A. B., Boomsma, D. I., Van Ooyen, A., and De Geus, E. J. C. (2007). J. Neuroscience 27: 13882-13889.
  [Abstract] [Full text: PDF]

• Role of synaptic inhibition in spatiotemporal patterning of cortical activity
  Bosman, L., Lodder, J. C., Van Ooyen, A., and Brussaard, A. B. (2005). In: Van Pelt, J. Kamermans, M., Levelt, C. N., Van Ooyen, A., Ramakers, G. J. A., and Roelfsema, P. R., eds. Development, Dynamics and Pathology of Neuronal Networks: From Molecules to Functional Circuits, Progress in Brain Research 147. Amsterdam: Elsevier, pp. 201-204.
  [Abstract] [Full text: PDF]

• Influence of the decay time of the GABAergic postsynaptic current on the spatial spread of network activity
  Van Ooyen, A., Bosman, L., and Brussaard, A. (2004). Neurocomputing 58-60: 291-295.
  [Abstract] [Full text: PDF]

• The emergence of long-lasting transients of activity in simple neural networks
  Van Ooyen, A., Van Pelt, J., Corner, M. A., and Lopes da Silva, F. H. (1992). Biol. Cybern. 67: 269-277.
  [Abstract] [Full text: PDF]

• Long-lasting transients of activation in neural networks
  Van Ooyen, A., Van Pelt, J., Corner, M. A., and Lopes da Silva, F. H. (1992). Neurocomputing 4: 75-87.
  [Abstract] [Full text: PDF]