Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention

  1. Amélie Aussel  Is a corresponding author
  2. Ian C Fiebelkorn
  3. Sabine Kastner
  4. Nancy J Kopell
  5. Benjamin Rafael Pittman-Polletta PhD
  1. Boston University, United States
  2. University of Rochester, United States
  3. Princeton University, United States

Abstract

Even during sustained attention, enhanced processing of attended stimuli waxes and wanes rhythmically, with periods of enhanced and relatively diminished visual processing (and subsequent target detection) alternating at 4 or 8 Hz in a sustained visual attention task. These alternating attentional states occur alongside alternating dynamical states, in which lateral intraparietal cortex (LIP), the frontal eye field (FEF), and the mediodorsal pulvinar (mdPul) exhibit different activity and functional connectivity at α, β and γ frequencies-rhythms associated with visual processing, working memory, and motor suppression. To assess whether and how these multiple interacting rhythms contribute to periodicity in attention, we propose a detailed computational model of FEF and LIP. When driven by θ-rhythmic inputs simulating experimentally-observed mdPul activity, this model reproduced the rhythmic dynamics and behavioral consequences of observed attentional states, revealing that the frequencies and mechanisms of the observed rhythms allow for peak sensitivity in visual target detection while maintaining functional flexibility.

Data availability

The current manuscript is a computational study, so no data have been generated for this manuscript. Modelling code is available on the ModelDB open repositories.

The following data sets were generated

Article and author information

Author details

  1. Amélie Aussel

    Cognitive Rhythms Collaborative, Boston University, Boston, United States
    For correspondence
    aaussel@bu.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0498-2905
  2. Ian C Fiebelkorn

    Department of Neuroscience, University of Rochester, Rochester, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Sabine Kastner

    Princeton Neuroscience Institute, Princeton University, Princeton, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9742-965X
  4. Nancy J Kopell

    Cognitive Rhythms Collaborative, Boston University, Boston, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Benjamin Rafael Pittman-Polletta PhD

    Department of Mathematics and Statistics, Boston University, Boston, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6798-7191

Funding

National Institutes of Health (P50 MH109429)

  • Ian C Fiebelkorn
  • Sabine Kastner
  • Nancy J Kopell
  • Benjamin Rafael Pittman-Polletta PhD

National Institute of Mental Health (RO1-MH64043)

  • Ian C Fiebelkorn
  • Sabine Kastner

National Eye Institute (RO1-EY017699)

  • Ian C Fiebelkorn
  • Sabine Kastner

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2023, Aussel et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 962
    views
  • 206
    downloads
  • 5
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Amélie Aussel
  2. Ian C Fiebelkorn
  3. Sabine Kastner
  4. Nancy J Kopell
  5. Benjamin Rafael Pittman-Polletta PhD
(2023)
Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention
eLife 12:e67684.
https://doi.org/10.7554/eLife.67684

Share this article

https://doi.org/10.7554/eLife.67684

Further reading

    1. Neuroscience
    Mi-Seon Kong, Ethan Ancell ... Larry S Zweifel
    Research Article

    The central amygdala (CeA) has emerged as an important brain region for regulating both negative (fear and anxiety) and positive (reward) affective behaviors. The CeA has been proposed to encode affective information in the form of valence (whether the stimulus is good or bad) or salience (how significant is the stimulus), but the extent to which these two types of stimulus representation occur in the CeA is not known. Here, we used single cell calcium imaging in mice during appetitive and aversive conditioning and found that majority of CeA neurons (~65%) encode the valence of the unconditioned stimulus (US) with a smaller subset of cells (~15%) encoding the salience of the US. Valence and salience encoding of the conditioned stimulus (CS) was also observed, albeit to a lesser extent. These findings show that the CeA is a site of convergence for encoding oppositely valenced US information.

    1. Neuroscience
    Sharon Inberg, Yael Iosilevskii ... Benjamin Podbilewicz
    Research Article

    Dendrites are crucial for receiving information into neurons. Sensory experience affects the structure of these tree-like neurites, which, it is assumed, modifies neuronal function, yet the evidence is scarce, and the mechanisms are unknown. To study whether sensory experience affects dendritic morphology, we use the Caenorhabditis elegans' arborized nociceptor PVD neurons, under natural mechanical stimulation induced by physical contacts between individuals. We found that mechanosensory signals induced by conspecifics and by glass beads affect the dendritic structure of the PVD. Moreover, developmentally isolated animals show a decrease in their ability to respond to harsh touch. The structural and behavioral plasticity following sensory deprivation are functionally independent of each other and are mediated by an array of evolutionarily conserved mechanosensory amiloride-sensitive epithelial sodium channels (degenerins). Calcium imaging of the PVD neurons in a micromechanical device revealed that controlled mechanical stimulation of the body wall produces similar calcium dynamics in both isolated and crowded animals. Our genetic results, supported by optogenetic, behavioral, and pharmacological evidence, suggest an activity-dependent homeostatic mechanism for dendritic structural plasticity, that in parallel controls escape response to noxious mechanosensory stimuli.