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Modeling the spatial reach of the LFP
Henrik Lindén1, Tom Tetzlaff, Tobias C Potjans
1Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, N-1432 Ås, Norway.
Neuron
|December 14, 2011
Summary
The local field potential (LFP) reflects neural network dynamics. Our biophysical model shows LFP spatial extent depends on neuron morphology, synapse distribution, and correlated neural activity.
Area of Science:
- Neuroscience
- Computational Neuroscience
Background:
- The local field potential (LFP) measures collective neuronal activity, crucial for understanding local network dynamics.
- The precise spatial extent of the neuronal population contributing to the LFP remains debated.
Purpose of the Study:
- To investigate the spatial scale of the neuronal population generating the LFP using detailed biophysical modeling.
- To determine factors influencing the LFP's spatial extent.
Main Methods:
- Simulated LFP generation from a large population of neurons surrounding a recording electrode.
- Employed detailed biophysical modeling of neuronal activity and synaptic integration.
Main Results:
- The LFP generating region's size is contingent upon neuron morphology, synapse distribution, and synaptic activity correlation.
- For uncorrelated activity, the LFP primarily reflects neurons within a few hundred micrometers.
- Correlated neuronal activity significantly expands the spatial extent of the LFP generating region.
Conclusions:
- Neuron morphology and synaptic properties shape the LFP's spatial representation.
- The degree of correlated activity is a critical determinant of the LFP's spatial scale.
- Biophysical modeling provides insights into the biophysical underpinnings of LFP generation.
