Relating ECoG and the local field potential to underlying mechanisms
Year: 2014
Type: dissertation
Abstract: Since the advent of multielectrodes, interest in the low-frequency part of the extracellular field potential\n(EFP) has surged. Interpreting this electric signal is complicated because it is a superposition of transmembrane\ncurrents originating from multiple neuronal processes. The magnitude and shape of the recorded\npotential are dependent on factors such as the dynamics of the individual sources generating the currents,\nthe amount of synchrony in synaptic activity and the neuron morphology. Here the relation between the\nEFP and its underlying mechanisms is addressed based on literature studying the signal intracranially\n(electrocorticogram, ECoG) and intracortically (local field potentials, LFPs). The traditional approach of\ndecomposing the EFP signal based on the power spectrum of the frequencies is evaluated. Several alternatives\nmore sensitive to dissociate between different frequency bands are suggested such as the matching\npursuit algorithm and optimization techniques. Furthermore, mathematical modeling schemes are used\nto describe quantitatively how factors like synchrony and cytoarchitecture affect characteristics of the EFP\nand how different current sources contribute to the signal. These modeling studies are suggested as a means\nto predict limitations and optimum experimental stimuli for measurements such as ECoG. Simulating and\ncombining experimental data recorded at different spatial scales with reconstructed neuronal tissue is necessary\nto optimally make use of the network signaling information embedded in the EFP and is essential\nfor future progress.
Author: Meron Vermaas
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W115278365