Accessibility navigation


Balanced excitation and inhibition: Model based analysis of local field potentials

Zheng, Y. ORCID: https://orcid.org/0000-0001-7472-6427, Luo, J. J., Harris, S., Kennerley, A., Berwick, J., Billings, S. A. and Mayhew, J. (2012) Balanced excitation and inhibition: Model based analysis of local field potentials. NeuroImage, 63 (1). pp. 81-94. ISSN 1053-8119

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.neuroimage.2012.06.040

Abstract/Summary

We have developed a model of the local field potential (LFP) based on the conservation of charge, the independence principle of ionic flows and the classical Hodgkin–Huxley (HH) type intracellular model of synaptic activity. Insights were gained through the simulation of the HH intracellular model on the nonlinear relationship between the balance of synaptic conductances and that of post-synaptic currents. The latter is dependent not only on the former, but also on the temporal lag between the excitatory and inhibitory conductances, as well as the strength of the afferent signal. The proposed LFP model provides a method for decomposing the LFP recordings near the soma of layer IV pyramidal neurons in the barrel cortex of anaesthetised rats into two highly correlated components with opposite polarity. The temporal dynamics and the proportional balance of the two components are comparable to the excitatory and inhibitory post-synaptic currents computed from the HH model. This suggests that the two components of the LFP reflect the underlying excitatory and inhibitory post-synaptic currents of the local neural population. We further used the model to decompose a sequence of evoked LFP responses under repetitive electrical stimulation (5 Hz) of the whisker pad. We found that as neural responses adapted, the excitatory and inhibitory components also adapted proportionately, while the temporal lag between the onsets of the two components increased during frequency adaptation. Our results demonstrated that the balance between neural excitation and inhibition can be investigated using extracellular recordings. Extension of the model to incorporate multiple compartments should allow more quantitative interpretations of surface Electroencephalography (EEG) recordings into components reflecting the excitatory, inhibitory and passive ionic current flows generated by local neural populations.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:33471
Uncontrolled Keywords:Balanced excitation and inhibition; Local field potentials; Neural mass models; Field potential decomposition
Additional Information:► Local field potentials (LFPs) are generated by co-localised dipoles. ► The LFP model decomposes LFP into excitatory (E) and inhibitory (I) components. ► The LFP model can be used to investigate the balance of E/I. ► The balance of E/I is determined by the amplitude of E/I and their temporal lag.
Publisher:Elsevier

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation