A neural mass model of spectral responses in electrophysiology
2007

Neural Mass Model of EEG Responses

publication Evidence: moderate

Author Information

Author(s): Moran R.J., Kiebel S.J., Stephan K.E., Reilly R.B., Daunizeau J., Friston K.J.

Primary Institution: The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London

Hypothesis

How do neurophysiological parameters influence the spectral response of a neural mass model?

Conclusion

The study establishes a model that shows how neuromodulatory effects can be quantified through EEG spectral density.

Supporting Evidence

  • The model incorporates parameters for spike-rate adaptation and recurrent inhibitory connections.
  • It demonstrates that the spectral response is influenced by the non-linearity of the firing rate–input curves.
  • The model allows for the quantification of pharmacologically induced changes in adaptation currents.

Takeaway

This study created a model to understand how brain signals change with different factors, helping us learn about brain activity.

Methodology

The study used linear systems analysis to explore the spectral response of a neural mass model.

Limitations

The model does not formally map to conventional integrate-and-fire models and lacks explicit representation of receptor subtype gating.

Digital Object Identifier (DOI)

10.1016/j.neuroimage.2007.05.032

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