Estimation of population firing rates and current source densities from laminar electrode recordings

@article{Pettersen2007EstimationOP,
  title={Estimation of population firing rates and current source densities from laminar electrode recordings},
  author={Klas H. Pettersen and Espen Hagen and Gaute T. Einevoll},
  journal={Journal of Computational Neuroscience},
  year={2007},
  volume={24},
  pages={291-313}
}
This model study investigates the validity of methods used to interpret linear (laminar) multielectrode recordings. In computer experiments extracellular potentials from a synaptically activated population of about 1,000 pyramidal neurons are calculated using biologically realistic compartmental neuron models combined with electrostatic forward modeling. The somas of the pyramidal neurons are located in a 0.4 mm high and wide columnar cylinder, mimicking a stimulus-evoked layer-5 population in… 
Laminar population analysis of multielectrode recordings from rat primary auditory cortex
TLDR
Rats were exposed to a large variety of different auditory stimuli to investigate the phenomenon known as ‘stimulus-specific adaptation’, i.e., that neurons respond stronger to unexpected stimuli, and LPA is applied to recently recorded laminar-electrode data from the primary auditory cortex of rats.
On the Estimation of Population-Specific Synaptic Currents from Laminar Multielectrode Recordings
Multielectrode array recordings of extracellular electrical field potentials along the depth axis of the cerebral cortex are gaining popularity as an approach for investigating the activity of
Kernel Current Source Density Method
TLDR
This work proposes a new framework, the kernel current source density method (kCSD), for nonparametric estimation of CSD from LFP recorded from arbitrarily distributed electrodes using kernel methods and shows that iCSD is a special case of kCSD.
Kernel current source density method
TLDR
This work proposes a new framework, the kernel current source density method (kCSD), for nonparametric estimation of CSD from LFP recorded from arbitrarily distributed electrodes using kernel methods and shows that iCSD is a special case of kCSD.
Modeling and analysis of extracellular field potentials in the brain
TLDR
The salient features of extracellular potentials generated by a single synaptic input are characterized and a forward-modeling approach is used where the LFP generated by neurons with realistic morphologies is simulated, and simplified models of LFP generation are proposed.
LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons
TLDR
LFPy, an open source Python package for numerical simulations of extracellular potentials, consists of a set of easy-to-use classes for defining cells, synapses and recording electrodes as Python objects, implementing a precise biophysical modeling scheme linking activity at the cellular level and the recorded signal.
Estimating the spatial range of local field potentials in a cortical population model
Joint extracellular recordings of cortical spiking activity and mesoscopic population signals, such as the local field potential (LFP), are becoming increasingly popular as a tool for measuring
Estimation of Thalamocortical and Intracortical Network Models from Joint Thalamic Single-Electrode and Cortical Laminar-Electrode Recordings in the Rat Barrel System
TLDR
While the thalamocortical circuit is optimally stimulated by rapid changes in the thalamic firing rate, the intracortical circuits are low-pass and respond most strongly to slowly varying inputs from the cortical layer-4 population.
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks
TLDR
The generic nature of the hybrid scheme and its public implementation in hybridLFPy form the basis for LFP predictions from other and larger point-neuron network models, as well as extensions of the current application with additional biological detail.
...
...

References

SHOWING 1-10 OF 37 REFERENCES
Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex.
TLDR
The time dependence of the stimulus-evoked population firing activity is predicted, and the temporal ordering of response onset is found to be compatible with earlier findings.
Model-based analysis of cortical recording with silicon microelectrodes
Model-based source localization of extracellular action potentials
Laminar excitability cycles in neocortex.
TLDR
Results and physiological support to the validity of lamina-specific evoked response waveforms derived from combined CSD and PCA analysis of extracellular potential measurements are presented.
Model of low-pass filtering of local field potentials in brain tissue.
TLDR
It is suggested that induced electric fields in passive cells surrounding neurons are the physical origin of frequency filtering properties of LFPs, and this situation is analogous to an equivalent RC circuit, or better yet a system of coupled RC circuits.
Current source density analysis: Methods and application to simultaneously recorded field potentials of the rabbit's visual cortex
TLDR
This paper deals with the application of current source density (CSD) analysis to simultaneously recorded intracortical field potentials of the rabbit's visual cortex, finding that average values obtained from different experiments are not representative and that the vertical conductivity has to be measured in every experiment.
On the origin of the extracellular action potential waveform: A modeling study.
TLDR
A model system that captures features of experimentally recorded simultaneous intracellular and extracellular recordings of CA1 pyramidal neurons and demonstrates that the varied composition of ionic currents in different cells is reflected in the features of the EAP.
Large-scale recording of neuronal ensembles
TLDR
Large-scale recordings from neuronal ensembles now offer the opportunity to test competing theoretical frameworks and require further development of the neuron–electrode interface, automated and efficient spike-sorting algorithms for effective isolation and identification of single neurons, and new mathematical insights for the analysis of network properties.
Multiple microelectrode-recording system for human intracortical applications
...
...