Evidence map›Paper›PMID 35235100›Full record

ReviewJournal of the Association for Research in Otolaryngology : JARO2022

Non-sensory Influences on Auditory Learning and Plasticity.

Melissa L Caras, Max F K Happel, Bharath Chandrasekaran, Pablo Ripollés, Sarah M Keesom, Laura M Hurley, Luke Remage-Healey, Lori L Holt, Beverly A Wright

Open access · greenAbstract readReview
In one paragraph

Review in Journal of the Association for Research in Otolaryngology : JARO, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

9 authors at 9 institutions in 2 countries.

Melissa L CarasDepartment of Biology, University of Maryland at College Park, College Park, MD, 20742, USA. mcaras@umd.edu.ORCID 0000-0002-7594-5653
Max F K HappelDepartment of Systems Physiology of Learning, Leibniz Institute for Neurobiology, 39118, Magdeburg, Germany.
Bharath ChandrasekaranDepartment of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
Pablo RipollésDepartment of Psychology, Music and Audio Research Lab (MARL) and Center for Language, Music and Emotion (CLaME), New York University, New York, NY, 10003, USA.
Sarah M KeesomDepartment of Biology, Utica College, Utica, NY, 13502, USA.
Laura M HurleyDepartment of Biology, Indiana University Bloomington, Bloomington, IN, 47405, USA.
Luke Remage-HealeyDepartment of Psychological and Brain Sciences and the Center for Neuroendocrine Studies, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
Lori L HoltDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Beverly A WrightDepartment of Communication Sciences and Disorders, Northwestern University, Evanston, IL, 60208, USA.
Carnegie Mellon University · USIndiana University Bloomington · USMSB Medical School Berlin · DENew York University · USNorthwestern University · USUniversity of Maryland, College Park · USUniversity of Massachusetts Amherst · USUniversity of Pittsburgh · USUtica College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distinguishing between regular and irregular heartbeats, conversing with speakers of different accents, and tuning a guitar-all rely on some form of auditory learning. What drives these experience-dependent changes? A growing body of evidence suggests an important role for non-sensory influences, including reward, task engagement, and social or linguistic context. This review is a collection of contributions that highlight how these non-sensory factors shape auditory plasticity and learning at the molecular, physiological, and behavioral level. We begin by presenting evidence that reward signals from the dopaminergic midbrain act on cortico-subcortical networks to shape sound-evoked responses of auditory cortical neurons, facilitate auditory category learning, and modulate the long-term storage of new words and their meanings. We then discuss the role of task engagement in auditory perceptual learning and suggest that plasticity in top-down cortical networks mediates learning-related improvements in auditory cortical and perceptual sensitivity. Finally, we present data that illustrates how social experience impacts sound-evoked activity in the auditory midbrain and forebrain and how the linguistic environment rapidly shapes speech perception. These findings, which are derived from both human and animal models, suggest that non-sensory influences are important regulators of auditory learning and plasticity and are often implemented by shared neural substrates. Application of these principles could improve clinical training strategies and inform the development of treatments that enhance auditory learning in individuals with communication disorders.

Indexed as

Auditory CortexNeuronal PlasticityAnimalsAuditory PerceptionExperienceLanguageRewardSocial contextTask engagementTop-down

Identifiers

PMID35235100
PMCPMC8964851
OpenAlexW4214942002

What OpenQuestion holds

Textmetadata
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.