Combined Single Neuron Unit Activity and Local Field Potential Oscillations in a Human Visual Recognition Memory Task
Autor: | B. Michael Berry, Michal T. Kucewicz, Gregory A. Worrell, Mark R. Bower, Vojtech Svehlik, S. Matt Stead, Jan Cimbalnik |
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Rok vydání: | 2016 |
Předmět: |
Adult
Male 0301 basic medicine Visual perception Computer science Population Biomedical Engineering Action Potentials Local field potential Temporal lobe 03 medical and health sciences Epilepsy 0302 clinical medicine Memory Task Performance and Analysis medicine Humans education Neurons education.field_of_study Brain Electroencephalography Signal Processing Computer-Assisted medicine.disease 030104 developmental biology medicine.anatomical_structure Visual Perception Female Action potential firing Neuron Neuroscience 030217 neurology & neurosurgery |
Zdroj: | IEEE Transactions on Biomedical Engineering. 63:67-75 |
ISSN: | 1558-2531 0018-9294 |
Popis: | Goal: Activities of neuronal networks range from action potential firing of individual neurons, coordinated oscillations of local neuronal assemblies, and distributed neural populations. Here, we describe recordings using hybrid electrodes, containing both micro- and clinical macroelectrodes, to simultaneously sample both large-scale network oscillations and single neuron spiking activity in the medial temporal lobe structures of human subjects during a visual recognition memory task. We quantify and compare single neuron unit activity (SUA) with high-frequency macrofield oscillations (HFOs) for decoding visual images. Results: SUA and HFOs were recorded using hybrid electrodes containing both micro and macroelectrode contacts, implanted in patients with focal epilepsy. Decoding of image properties in different task trials was performed, analyzing SUA and HFO as point processes to capture the dynamics of neurons and their assemblies at different spatiotemporal scales, ranging from submillisecond discharges of single units to fast oscillations across large neuronal populations. Results highlight the limitations and potential complementary use of SUA and HFOs for decoding of general image properties. Conclusion: The dynamics of SUA and HFOs can be used to explore a wide range of neuronal assembly activities engaged in human memory processing. Significance: Hybrid electrodes provide a technological bridge for exploring multiscale activity, spanning individual neurons, their assemblies, and large-scale population activity reflected in local field potentials. Analysis of SUA and HFO dynamics as point processes provides a potentially useful signal processing method for exploring the neuronal correlates operating at different spatial scales. |
Databáze: | OpenAIRE |
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