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Spatiotemporal dynamics of information encoding revealed in orbitofrontal high-gamma

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  • Erin L. Rich

    (University of California at Berkeley
    Icahn School of Medicine at Mount Sinai)

  • Joni D. Wallis

    (University of California at Berkeley
    University of California at Berkeley)

Abstract

High-gamma signals mirror the tuning and temporal profiles of neurons near a recording electrode in sensory and motor areas. These frequencies appear to aggregate local neuronal activity, but it is unclear how this relationship affects information encoding in high-gamma activity (HGA) in cortical areas where neurons are heterogeneous in selectivity and temporal responses, and are not functionally clustered. Here we report that populations of neurons and HGA recorded from the orbitofrontal cortex (OFC) encode similar information, although there is little correspondence between signals recorded by the same electrode. HGA appears to aggregate heterogeneous neuron activity, such that the spiking of a single cell corresponds to only small increases in HGA. Interestingly, large-scale spatiotemporal dynamics are revealed in HGA, but less apparent in the population of single neurons. Overall, HGA is closely related to neuron activity in OFC, and provides a unique means of studying large-scale spatiotemporal dynamics of information processing.

Suggested Citation

  • Erin L. Rich & Joni D. Wallis, 2017. "Spatiotemporal dynamics of information encoding revealed in orbitofrontal high-gamma," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01253-5
    DOI: 10.1038/s41467-017-01253-5
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    Cited by:

    1. Colin W. Hoy & David R. Quiroga-Martinez & Eduardo Sandoval & David King-Stephens & Kenneth D. Laxer & Peter Weber & Jack J. Lin & Robert T. Knight, 2023. "Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Wan-Yu Shih & Hsiang-Yu Yu & Cheng-Chia Lee & Chien-Chen Chou & Chien Chen & Paul W. Glimcher & Shih-Wei Wu, 2023. "Electrophysiological population dynamics reveal context dependencies during decision making in human frontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    3. Elizabeth L. Johnson & Jack J. Lin & David King-Stephens & Peter B. Weber & Kenneth D. Laxer & Ignacio Saez & Fady Girgis & Mark D’Esposito & Robert T. Knight & David Badre, 2023. "A rapid theta network mechanism for flexible information encoding," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    4. Jan Weber & Anne-Kristin Solbakk & Alejandro O. Blenkmann & Anais Llorens & Ingrid Funderud & Sabine Leske & Pål Gunnar Larsson & Jugoslav Ivanovic & Robert T. Knight & Tor Endestad & Randolph F. Helf, 2024. "Ramping dynamics and theta oscillations reflect dissociable signatures during rule-guided human behavior," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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