Activity in perirhinal and entorhinal cortex predicts perceived visual similarities among category exemplars with highest precision

  1. Kayla M Ferko
  2. Anna Blumenthal
  3. Chris B Martin
  4. Daria Proklova
  5. Alexander N Minos
  6. Lisa M Saksida
  7. Timothy J Bussey
  8. Ali R Khan
  9. Stefan Köhler  Is a corresponding author
  1. University of Western Ontario, Canada
  2. University of Laval, Canada
  3. Florida State University, United States

Abstract

Vision neuroscience has made great strides in understanding the hierarchical organization of object representations along the ventral visual stream (VVS). How VVS representations capture fine-grained visual similarities between objects that observers subjectively perceive has received limited examination so far. In the current study, we addressed this question by focusing on perceived visual similarities among subordinate exemplars of real world-categories. We hypothesized that these perceived similarities are reflected with highest fidelity in neural activity patterns downstream from inferotemporal regions, namely in perirhinal and anterolateral entorhinal cortex in the medial temporal-lobe. To address this issue with fMRI, we administered a modified 1-Back task that required discrimination between category exemplars as well as categorization. Further, we obtained observer-specific ratings of perceived visual similarities, which predicted behavioural performance during scanning. As anticipated, we found that activity patterns in perirhinal and anterolateral entorhinal cortex predicted the structure of perceived visual similarity relationships among category exemplars, including its observer-specific component, with higher precision than any other VVS region. Our findings provide new evidence that subjective aspects of object perception that rely on fine-grained visual differentiation are reflected with highest fidelity in the medial temporal lobe.

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting fields. Source data files have been provided for Figures 1, 2, 3, 4, 6,7

Article and author information

Author details

  1. Kayla M Ferko

    Brain and Mind Institute, University of Western Ontario, london, Canada
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4362-7295
  2. Anna Blumenthal

    Cervo Brain Research Center, University of Laval, Quebec, Canada
    Competing interests
    The authors declare that no competing interests exist.
  3. Chris B Martin

    Department of Psychology, Florida State University, Tallahasse, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7014-4371
  4. Daria Proklova

    Brain and Mind Institute, University of Western Ontario, London, Canada
    Competing interests
    The authors declare that no competing interests exist.
  5. Alexander N Minos

    Brain and Mind Institute, University of Western Ontario, London, Canada
    Competing interests
    The authors declare that no competing interests exist.
  6. Lisa M Saksida

    Robarts Research Institute, University of Western Ontario, London, Canada
    Competing interests
    The authors declare that no competing interests exist.
  7. Timothy J Bussey

    Brain and Mind Institute, University of Western Ontario, London, Canada
    Competing interests
    The authors declare that no competing interests exist.
  8. Ali R Khan

    Brain and Mind Institute, University of Western Ontario, London, Canada
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0760-8647
  9. Stefan Köhler

    Brain and Mind Institute, University of Western Ontario, london, Canada
    For correspondence
    stefank@uwo.ca
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1905-6453

Funding

Canadian Institutes of Health Research (366062)

  • Ali R Khan

Canadian Institutes of Health Research (366062)

  • Stefan Köhler

Natural Sciences and Engineering Research Council of Canada

  • Kayla M Ferko

Ontario Trillium Foundation

  • Anna Blumenthal

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

Ethics

Human subjects: Human subjects: The study was approved by the Institutional Review Board at the University of Western Ontario (REB # 115283). Informed consent was obtained from each participant before the experiment, including consent to publish anonymized results.

Copyright

© 2022, Ferko 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

  • 1,299
    views
  • 200
    downloads
  • 24
    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. Kayla M Ferko
  2. Anna Blumenthal
  3. Chris B Martin
  4. Daria Proklova
  5. Alexander N Minos
  6. Lisa M Saksida
  7. Timothy J Bussey
  8. Ali R Khan
  9. Stefan Köhler
(2022)
Activity in perirhinal and entorhinal cortex predicts perceived visual similarities among category exemplars with highest precision
eLife 11:e66884.
https://doi.org/10.7554/eLife.66884

Share this article

https://doi.org/10.7554/eLife.66884

Further reading

    1. Neuroscience
    Yiting Li, Wenqu Yin ... Baoming Li
    Research Article

    Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified ‘sequential firing’ and ‘activity ramps’ as the primary neuron activity patterns in the medial frontal cortex (mPFC) that could convey information regarding time. However, the relationship between these patterns and the timing behavior has not been fully understood. In this study, we utilized in vivo calcium imaging of mPFC in rats performing a timing task. We observed cells that showed selective activation at trial start, end, or during the timing interval. By aligning long-term time-lapse datasets, we discovered that sequential patterns of time coding were stable over weeks, while cells coding for trial start or end showed constant dynamism. Furthermore, with a novel behavior design that allowed the animal to determine individual trial interval, we were able to demonstrate that real-time adjustment in the sequence procession speed closely tracked the trial-to-trial interval variations. And errors in the rats’ timing behavior can be primarily attributed to the premature ending of the time sequence. Together, our data suggest that sequential activity maybe a stable neural substrate that represents time under physiological conditions. Furthermore, our results imply the existence of a unique cell type in the mPFC that participates in the time-related sequences. Future characterization of this cell type could provide important insights in the neural mechanism of timing and related cognitive functions.

    1. Neuroscience
    Bhanu Shrestha, Jiun Sang ... Youngseok Lee
    Research Article

    Sour taste, which is elicited by low pH, may serve to help animals distinguish appetitive from potentially harmful food sources. In all species studied to date, the attractiveness of oral acids is contingent on concentration. Many carboxylic acids are attractive at ecologically relevant concentrations but become aversive beyond some maximal concentration. Recent work found that Drosophila ionotropic receptors IR25a and IR76b expressed by sweet-responsive gustatory receptor neurons (GRNs) in the labellum, a peripheral gustatory organ, mediate appetitive feeding behaviors toward dilute carboxylic acids. Here, we disclose the existence of pharyngeal sensors in Drosophila melanogaster that detect ingested carboxylic acids and are also involved in the appetitive responses to carboxylic acids. These pharyngeal sensors rely on IR51b, IR94a, and IR94h, together with IR25a and IR76b, to drive responses to carboxylic acids. We then demonstrate that optogenetic activation of either Ir94a+ or Ir94h+ GRNs promotes an appetitive feeding response, confirming their contributions to appetitive feeding behavior. Our discovery of internal pharyngeal sour taste receptors opens up new avenues for investigating the internal sensation of tastants in insects.