Evidence map›Paper›PMID 34133413›Full record

ArticlePLoS biology2021

Neuronal selectivity to complex vocalization features emerges in the superficial layers of primary auditory cortex.

Pilar Montes-Lourido, Manaswini Kar, Stephen V David, Srivatsun Sadagopan

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Auditory Representation of Vocal Signals in a Pallial Cortical Circuit.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Dissociable Roles of the Auditory Midbrain and Cortex in Processing the Statistical Features of Natural Sound Textures.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Pilar Montes-LouridoDepartment of Neurobiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0002-2554-4712
Manaswini KarDepartment of Neurobiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Stephen V DavidDepartment of Otolaryngology, Oregon Health and Science University, Portland, Oregon, United States of America.ORCID 0000-0003-4135-3104
Srivatsun SadagopanDepartment of Neurobiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0002-1116-8728
University of Pittsburgh · USOregon Health & Science University · US

Funding

Neural mechanisms underlying vocalization perception in realistic listening conditionsR01DC017141 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SADAGOPAN, SRIVATSUN · 2018 to 2022
$2.1M
Tools for modeling state-dependent sensory encoding by neural populations across spatial and temporal scalesR01EB028155 · NIBIB · OREGON HEALTH & SCIENCE UNIVERSITY · PI DAVID, STEPHEN V, MESGARANI, NIMA · 2019 to 2023
$1.2M
6 · The paper itself

Abstract

Early in auditory processing, neural responses faithfully reflect acoustic input. At higher stages of auditory processing, however, neurons become selective for particular call types, eventually leading to specialized regions of cortex that preferentially process calls at the highest auditory processing stages. We previously proposed that an intermediate step in how nonselective responses are transformed into call-selective responses is the detection of informative call features. But how neural selectivity for informative call features emerges from nonselective inputs, whether feature selectivity gradually emerges over the processing hierarchy, and how stimulus information is represented in nonselective and feature-selective populations remain open question. In this study, using unanesthetized guinea pigs (GPs), a highly vocal and social rodent, as an animal model, we characterized the neural representation of calls in 3 auditory processing stages-the thalamus (ventral medial geniculate body (vMGB)), and thalamorecipient (L4) and superficial layers (L2/3) of primary auditory cortex (A1). We found that neurons in vMGB and A1 L4 did not exhibit call-selective responses and responded throughout the call durations. However, A1 L2/3 neurons showed high call selectivity with about a third of neurons responding to only 1 or 2 call types. These A1 L2/3 neurons only responded to restricted portions of calls suggesting that they were highly selective for call features. Receptive fields of these A1 L2/3 neurons showed complex spectrotemporal structures that could underlie their high call feature selectivity. Information theoretic analysis revealed that in A1 L4, stimulus information was distributed over the population and was spread out over the call durations. In contrast, in A1 L2/3, individual neurons showed brief bursts of high stimulus-specific information and conveyed high levels of information per spike. These data demonstrate that a transformation in the neural representation of calls occurs between A1 L4 and A1 L2/3, leading to the emergence of a feature-based representation of calls in A1 L2/3. Our data thus suggest that observed cortical specializations for call processing emerge in A1 and set the stage for further mechanistic studies.

Indexed as

Acoustic StimulationAnesthesiaAnimalsAuditory CortexFemaleMaleModels, BiologicalNeuronsTime FactorsVocalization, Animal

Identifiers

PMID34133413
PMCPMC8238193
OpenAlexW3169368123

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.