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.
Show the data
| Period | Records |
|---|---|
| through 1999 | 11,243 |
| 2000-2009 | 4,868 |
| 2010-2019 | 7,471 |
| 2020 onward | 6,188 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 2,151 | 7.2% |
| Meta-analyses | 155 | 0.5% |
| Randomized controlled trials | 410 | 1.4% |
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 / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Harmony in the Molecular Orchestra of Hearing: Developmental Mechanisms from the Ear to the Brain | 2024 | Review article Design not recorded in structured metadata | 28 | cc by PMID 38360566 · DOI · PMC11787624 |
| Hair-cortisol and hair-BDNF as biomarkers of tinnitus loudness and distress in chronic tinnitus | 2022 | Research article Design not recorded in structured metadata | 20 | cc by PMID 35121746 · DOI · PMC8817043 |
| Analysis of barriers and facilitators to early hearing detection and intervention in KwaZulu-Natal, South Africa | 2022 | Research article Design not recorded in structured metadata | 16 | cc by PMID 35144437 · DOI · PMC8831925 |
| Compensatory Interplay Between Clarin-1 and Clarin-2 Deafness-Associated Proteins Governs Phenotypic Variability in Hearing | 2026 | Research article Design not recorded in structured metadata | 2 | cc by PMID 41572507 · DOI · PMC13067776 |
Harmony in the Molecular Orchestra of Hearing: Developmental Mechanisms from the Ear to the Brain [1]
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]
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]
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]
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]
- Research article The soundscape of the Anthropocene ocean [6]
- Research article Best Practices and Advice for Using Pupillometry to Measure Listening Effort: An Introduction for Those Who Want to Get Started [7]
- Research article An overview of cochlear implant electrode array designs [8]
- Research article Attention and prediction in human audition: a lesson from cognitive psychophysiology [9]
- Research article Pathology and mechanisms of cochlear aging [10]
References
- 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
- 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
- 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
- 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
- Liberman MC, Kujawa SG. Cochlear synaptopathy in acquired sensorineural hearing loss: Manifestations and mechanisms. Hear Res. 2017. PMID 28087419 · DOI · PMC5438769
- 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
- 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
- Dhanasingh A, Jolly C. An overview of cochlear implant electrode array designs. Hear Res. 2017. PMID 29102129 · DOI
- 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
- 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.
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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.