Skip to content
EvidenceHelixEvidenceLib · Scientific Encyclopedia
⌘ K

Scientific library

EvidenceLib encyclopediaAll articles A–Z2,100Open textbooks2Cancer study catalog458How it is made

My workspace this browser

Saved pages0Notes & annotations0

Recently viewed

Explore by field

Cancer and Oncology107Genetics and Genomics95Neuroscience110Cardiovascular Medicine105Immunology90Pharmacology99Molecular Biology100Infectious Diseases102Rare and Inherited Diseases106Clinical Research98Anatomy and Physiology542Drugs and Chemicals546
Plans & pricingCompare EvidenceHelix workspace plans
Library›EvidenceLib›Neuroscience›Hearing
Explore more with EvidenceHelix Workspace

Compare studies, analyze evidence and create research reports with premium tools.

Explore Researcher plans

Research reading room

Hearing

Neuroscience · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 4 min read

The ability or act of sensing and transducing acoustic stimulation to the central nervous system.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (838 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

The ability or act of sensing and transducing acoustic stimulation to the central nervous system. It is also called audition.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Audition.

Where it fits in the MeSH classification

Broader topics
Sensation; Vestibulocochlear Physiological Phenomena
Narrower topics
Bone Conduction; Otoacoustic Emissions, Spontaneous
See also
Acoustic Stimulation; Auditory Perception; Bone Conduction

Related concepts

  • Acoustic Stimulation
  • Central Nervous System

Research landscape

PubMed indexes 29,770 records tagged with the MeSH heading “Hearing” (counts retrieved 2026-10-29). 6,188 of them (20.8%) were published from 2020 onward, and the busiest period so far is through 1999 with 11,243 records.

Reviews account for 2,151 records (7.2%) and meta-analyses for 155. Randomized controlled trials number 410 (1.4%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 11,243 records; 2000-2009: 4,868 records; 2010-2019: 7,471 records; 2020 onward: 6,188 records11,243through 19994,8682000-20097,4712010-20196,1882020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199911,243
2000-20094,868
2010-20197,471
2020 onward6,188
Share of records by publication typeReviews: 7.2 percent; Meta-analyses: 0.5 percent; Randomized controlled trials: 1.4 percentReviews7.2% (2,151)Meta-analyses0.5% (155)Randomized controlled trials1.4% (410)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 29,770 PubMed records
TypeRecordsShare
Reviews2,1517.2%
Meta-analyses1550.5%
Randomized controlled trials4101.4%

Method: PubMed query "Hearing"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in neuroscience

Neuroscience draws on tools with different strengths: cellular and animal work can manipulate circuits directly, while human imaging and electrophysiology observe the living brain at lower resolution. Small imaging studies are prone to false positives, and findings in animals do not always carry over to people. Clinical neurology and psychiatry rely on trials and cohort studies whose outcomes are often symptom scales. Check the species, the sample size, how the outcome was measured and whether results were replicated.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Harmony in the Molecular Orchestra of Hearing: Developmental Mechanisms from the Ear to the Brain
Pyott SJ, Pavlinkova G, Yamoah EN, Fritzsch B
2024Review article
Design not recorded in structured metadata
28cc by
PMID 38360566 · DOI · PMC11787624
Hair-cortisol and hair-BDNF as biomarkers of tinnitus loudness and distress in chronic tinnitus
Basso L, Boecking B, Neff P, Brueggemann P, Peters EMJ, Mazurek B
2022Research article
Design not recorded in structured metadata
20cc by
PMID 35121746 · DOI · PMC8817043
Analysis of barriers and facilitators to early hearing detection and intervention in KwaZulu-Natal, South Africa
Naidoo N, Khan NB
2022Research article
Design not recorded in structured metadata
16cc by
PMID 35144437 · DOI · PMC8831925
Compensatory Interplay Between Clarin-1 and Clarin-2 Deafness-Associated Proteins Governs Phenotypic Variability in Hearing
Wentling M, Yakhlef Sanchez A, Thelen N, Senarisoy M, Hogg M, Condamine S, et al.
2026Research article
Design not recorded in structured metadata
2cc by
PMID 41572507 · DOI · PMC13067776

Harmony in the Molecular Orchestra of Hearing: Developmental Mechanisms from the Ear to the Brain [1]

Review article Pyott SJ, Pavlinkova G, Yamoah EN, Fritzsch B · · 2024 · cited 28 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Auditory processing in mammals begins in the peripheral inner ear and extends to the auditory cortex.
Closing excerpt
Understanding these gene regulatory networks holds promise for developing novel therapeutic strategies for hearing disorders, benefiting millions globally.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (150 words)

Auditory processing in mammals begins in the peripheral inner ear and extends to the auditory cortex. Sound is transduced from mechanical stimuli into electrochemical signals of hair cells, which relay auditory information via the primary auditory neurons to cochlear nuclei. Information is subsequently processed in the superior olivary complex, lateral lemniscus, and inferior colliculus and projects to the auditory cortex via the medial geniculate body in the thalamus. Recent advances have provided valuable insights into the development and functioning of auditory structures, complementing our understanding of the physiological mechanisms underlying auditory processing. This comprehensive review explores the genetic mechanisms required for auditory system development from the peripheral cochlea to the auditory cortex. We highlight transcription factors and other genes with key recurring and interacting roles in guiding auditory system development and organization. Understanding these gene regulatory networks holds promise for developing novel therapeutic strategies for hearing disorders, benefiting millions globally.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38360566 · DOI · PMC11787624

Hair-cortisol and hair-BDNF as biomarkers of tinnitus loudness and distress in chronic tinnitus [2]

Research article Basso L, Boecking B, Neff P, Brueggemann P, Peters EMJ, Mazurek B · · 2022 · cited 20 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The role of stress and its neuroendocrine mediators in tinnitus is unclear.
Closing excerpt
Implications include the potential use of hair-cortisol and hair-BDNF as biomarkers of tinnitus loudness or distress and the need for intensive future research into chronic stress-related HPA axis and neuroplasticity alterations in chronic tinnitus.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (245 words)

The role of stress and its neuroendocrine mediators in tinnitus is unclear. In this study, we measure cortisol as an indicator of hypothalamus-pituitary-adrenal (HPA) axis alterations and brain-derived neurotrophic factor (BDNF) as a marker of adaptive neuroplasticity in hair of chronic tinnitus patients to investigate relationships with tinnitus-related and psychological factors. Cross-sectional data from chronic tinnitus inpatients were analyzed. Data collection included hair sampling, pure tone audiometry, tinnitus pitch and loudness matching, and psychometric questionnaires. Elastic net regressions with n-fold cross-validation were performed for cortisol (N = 91) and BDNF (N = 87). For hair-cortisol (R2 = 0.10), the strongest effects were sampling in autumn and body-mass index (BMI) (positive), followed by tinnitus loudness (positive) and smoking (negative). For hair-BDNF (R2 = 0.28), the strongest effects were hearing aid use, shift work (positive), and tinnitus loudness (negative), followed by smoking, tinnitus-related distress (Tinnitus Questionnaire), number of experienced traumatic events (negative), and physical health-related quality of life (Short Form-12 Health Survey) (positive). These findings suggest that in chronic tinnitus patients, higher perceived tinnitus loudness is associated with higher hair-cortisol and lower hair-BDNF, and higher tinnitus-related distress with lower hair-BDNF. Regarding hair-BDNF, traumatic experiences appear to have additional stress-related effects, whereas hearing aid use and high physical health-related quality of life appear beneficial. Implications include the potential use of hair-cortisol and hair-BDNF as biomarkers of tinnitus loudness or distress and the need for intensive future research into chronic stress-related HPA axis and neuroplasticity alterations in chronic tinnitus.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35121746 · DOI · PMC8817043

Analysis of barriers and facilitators to early hearing detection and intervention in KwaZulu-Natal, South Africa [3]

Research article Naidoo N, Khan NB · · 2022 · cited 16 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundThere is slow progress in early hearing detection and intervention (EHDI) services within South Africa.
Closing excerpt
Further research, clinical implications and limitations are provided emanating from the study.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (247 words)

BackgroundThere is slow progress in early hearing detection and intervention (EHDI) services within South Africa. Audiologists are EHDI gatekeepers and can provide valuable insights into the barriers and facilitators that can progressively move EHDI towards best practice in South Africa.ObjectivesThe study aimed to determine the barriers and facilitators to EHDI in KwaZulu-Natal as reported by audiologists/speech therapists and audiologists (A/STAs).MethodA descriptive qualitative approach was used. Telephonic interviews were conducted with 12 A/STAs working in public and private healthcare facilities, using the strengths, weaknesses, opportunities, threats (SWOT) conceptual framework. Data was analysed using thematic analysis in conjunction with NVivo software.ResultsOne of the main barriers perceived by A/STAs, affecting EHDI was the lack of resources in healthcare facilities. The participants indicated that although there was a guideline in place to guide practice, it may be more suited to an urban area versus a rural area. Poor knowledge and awareness of EHDI was also identified as a barrier. Information provided from A/STAs at grassroots level, in the various provinces, may benefit in developing a more contextually relevant and practical guideline. Facilitators included; development of task teams specifically for EHDI programmes, creation of improved communication networks for collaboration and communication, training of healthcare professionals and improving data management systems.ConclusionStrategies such as an increase in resources, further education and training, development of contextually relevant, culturally, and linguistically diverse practices and protocols need to be in place to improve EHDI implementation. Further research, clinical implications and limitations are provided emanating from the study.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35144437 · DOI · PMC8831925

Compensatory Interplay Between Clarin-1 and Clarin-2 Deafness-Associated Proteins Governs Phenotypic Variability in Hearing [4]

Research article Wentling M, Yakhlef Sanchez A, Thelen N, Senarisoy M, Hogg M, Condamine S, et al. · · 2026 · cited 2 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Usher syndrome type III (USH3) is a genetic disorder characterized by progressive, post-lingual hearing loss, variable vestibular dysfunction, and onset of retinitis pigmentosa.
Closing excerpt
By revealing a functional, compensatory interplay between clarin-1 and clarin-2, this study reframes CLRN1-associated deafness as a network-dependent disorder and provides a mechanistic basis for genetic stratification and therapeutic directions in USH3 and related sensorineural hearing loss.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (196 words)

Usher syndrome type III (USH3) is a genetic disorder characterized by progressive, post-lingual hearing loss, variable vestibular dysfunction, and onset of retinitis pigmentosa. USH3 is caused by mutations in CLRN1, which encodes clarin-1, a tetraspanin-like protein. Mutations in CLRN2, which encodes the related protein clarin-2, are also implicated in progressive, non-syndromic hearing loss in both humans and mice. USH3 patients show considerable phenotypic variability, even among individuals with the same mutation. This variability may result from environmental factors or interactions with other inner ear genes, such as CLRN2. To investigate the functional interplay of these genes, we generated Clrn1- /-Clrn2-/- double knockout mice. RNA-sequencing and functional/physiological analyses revealed that clarin-1 and clarin-2 jointly regulate mechanoelectrical transduction, ionic homeostasis, and synaptic organization. Their combined loss leads to more severe hearing phenotype compared to Clrn1-/- and Clrn2-/- mice, which reveals a functional compensation between them. CLRN2 variants may exacerbate hearing loss in USH3 patients, supporting inclusion of CLRN2 in genetic screening. By revealing a functional, compensatory interplay between clarin-1 and clarin-2, this study reframes CLRN1-associated deafness as a network-dependent disorder and provides a mechanistic basis for genetic stratification and therapeutic directions in USH3 and related sensorineural hearing loss.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41572507 · DOI · PMC13067776

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Cochlear synaptopathy in acquired sensorineural hearing loss: Manifestations and mechanisms [5]
    Liberman MC, Kujawa SG · Hear Res · 2017 · cited 553 times (Europe PMC)
  • Research article The soundscape of the Anthropocene ocean [6]
    Duarte CM, Chapuis L, Collin SP, Costa DP, Devassy RP, Eguiluz VM, et al. · Science · 2021 · cited 300 times (Europe PMC)
  • Research article Best Practices and Advice for Using Pupillometry to Measure Listening Effort: An Introduction for Those Who Want to Get Started [7]
    Winn MB, Wendt D, Koelewijn T, Kuchinsky SE · Trends Hear · 2018 · cited 232 times (Europe PMC)
  • Research article An overview of cochlear implant electrode array designs [8]
    Dhanasingh A, Jolly C · Hear Res · 2017 · cited 217 times (Europe PMC)
  • Research article Attention and prediction in human audition: a lesson from cognitive psychophysiology [9]
    Schröger E, Marzecová A, SanMiguel I · Eur J Neurosci · 2015 · cited 217 times (Europe PMC)
  • Research article Pathology and mechanisms of cochlear aging [10]
    Keithley EM · J Neurosci Res · 2020 · cited 194 times (Europe PMC)

References

  1. Pyott SJ, Pavlinkova G, Yamoah EN, Fritzsch B. Harmony in the Molecular Orchestra of Hearing: Developmental Mechanisms from the Ear to the Brain. . 2024. PMID 38360566 · DOI · PMC11787624
  2. Basso L, Boecking B, Neff P, Brueggemann P, Peters EMJ, Mazurek B. Hair-cortisol and hair-BDNF as biomarkers of tinnitus loudness and distress in chronic tinnitus. . 2022. PMID 35121746 · DOI · PMC8817043
  3. Naidoo N, Khan NB. Analysis of barriers and facilitators to early hearing detection and intervention in KwaZulu-Natal, South Africa. . 2022. PMID 35144437 · DOI · PMC8831925
  4. Wentling M, Yakhlef Sanchez A, Thelen N, Senarisoy M, Hogg M, Condamine S, et al.. Compensatory Interplay Between Clarin-1 and Clarin-2 Deafness-Associated Proteins Governs Phenotypic Variability in Hearing. . 2026. PMID 41572507 · DOI · PMC13067776
  5. Liberman MC, Kujawa SG. Cochlear synaptopathy in acquired sensorineural hearing loss: Manifestations and mechanisms. Hear Res. 2017. PMID 28087419 · DOI · PMC5438769
  6. Duarte CM, Chapuis L, Collin SP, Costa DP, Devassy RP, Eguiluz VM, et al.. The soundscape of the Anthropocene ocean. Science. 2021. PMID 33542110 · DOI
  7. Winn MB, Wendt D, Koelewijn T, Kuchinsky SE. Best Practices and Advice for Using Pupillometry to Measure Listening Effort: An Introduction for Those Who Want to Get Started. Trends Hear. 2018. PMID 30261825 · DOI · PMC6166306
  8. Dhanasingh A, Jolly C. An overview of cochlear implant electrode array designs. Hear Res. 2017. PMID 29102129 · DOI
  9. Schröger E, Marzecová A, SanMiguel I. Attention and prediction in human audition: a lesson from cognitive psychophysiology. Eur J Neurosci. 2015. PMID 25728182 · DOI · PMC4402002
  10. Keithley EM. Pathology and mechanisms of cochlear aging. J Neurosci Res. 2020. PMID 31066107 · DOI · PMC7496655

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

See how EvidenceLib is built. Spotted an error? Email support@evidencehelix.com.

Evidence strength

EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.

Included with the Researcher plan

Reading every article stays free. This computed view is part of the paid plans.

See plans Sign in

Your notes

Notes and highlights stay in this browser only; they are not sent to EvidenceHelix.

Related research topics

  • Acute PainNeuroscience
  • Back PainNeuroscience
  • Cancer PainNeuroscience
  • Chronic PainNeuroscience
  • HeadacheNeuroscience
  • Neck PainNeuroscience

All 110 articles in Neuroscience →

At a glance

29,770
PubMed records on this heading
21%
published since 2020
2,151
review articles
410
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Acute PainNeuroscience
  • Back PainNeuroscience
  • Cancer PainNeuroscience
  • Chronic PainNeuroscience
  • HeadacheNeuroscience

My notes & annotations (0)

Nothing yet. Select text and press Highlight, or write a note in the Notes tab. Stored in this browser only.

Sources

  • NLM MeSH record ↗
  • PubMed search used ↗

EvidenceLib is a research-education resource, not medical advice. It does not diagnose, prescribe or recommend starting, stopping or changing any treatment. Talk to a qualified clinician about your own situation. Methods, sources and licences · Legal · Support