The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Aging alters the perception and physiological representation of frequency: Evidence from human frequency-following response recordings
Open accessAbstract
Older adults, even with clinically normal hearing sensitivity, have auditory perceptual deficits relative to their younger counterparts. This difficulty may in part, be related to a decline in the neural representation of frequency. The purpose of this study was to examine the effect of age on behavioral and physiological measures of frequency representation. Thirty two adults (ages 22 – 77), with hearing thresholds ≤ 25 dB HL at octave frequencies 0.25 – 8.0 kHz, participated in this experiment. Frequency discrimination difference limens (FDLs) were obtained at 500 and 1000 Hz using a two-interval, two-alternative forced choice procedure. Linear regression analyses showed significant declines in FDLs at both frequencies as age increased. Frequency-following responses (FFRs) were elicited by 500 and 1000 Hz tonebursts, as well as at frequencies within and outside those FDLs. Linear regression of FFR phase coherence and FFR amplitude at frequencies at and slightly below 1000 Hz showed significant decreases as age increased. Therefore, pitch discrimination, as measured by FDLs, and neural representation of frequency, as reflected by FFR, declined as age increased. Although perception and neural representation concurrently declined, one was not predictive of the other.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
How young and old adults listen to and remember speech in noise.
Pichora-Fuller, M. K., Schneider, B. A., & Daneman, M. (1995) · The Journal of the Acoustical Society of America · doi:10.1121/1.412282 · Cited by 1,089 · cited 1×
“Many older adults have difficulty understanding speech, especially in the presence of background noise (Dubno et al., 1984; Pichora-Fuller et al., 1995; Frisina and Frisina, 1997).”
Musical experience shapes human brainstem encoding of linguistic pitch patterns
Wong, P. C. M., Skoe, E., Russo, N. M., Dees, T., & Kraus, N. (2007) · Nature Neuroscience · doi:10.1038/nn1872 · Cited by 954
Aging Impairs the Ability to Ignore Irrelevant Information in Frequency Discrimination Tasks
Espinoza-Varas, B., & Jang, H. (2006) · Experimental Aging Research · doi:10.1080/03610730600554008 · Cited by 8 · cited 3×
“…have consistently reported age-related deficits that are more prevalent at lower frequencies, such as 500 and 1000 Hz, than at higher frequencies, such as 2000 and 4000 Hz (Konig, 1957; Abel et al., 1990; Moore and Peters, 1992; Humes, 1996; He et al., 1998, 2007; Espinoza-Varas and Jang, 2006).”
Cited by
Hearing Impairment and Cognitive Energy: The Framework for Understanding Effortful Listening (FUEL)
Pichora-Fuller, M. K., Kramer, S. E., Eckert, M. A., Edwards, B., Hornsby, B. W. Y., Humes, L. E., Lemke, U., Lunner, T., Matthen, M., Mackersie, C. L., et al. (2016) · Ear & Hearing · doi:10.1097/aud.0000000000000312 · Cited by 1,318
Self-citationFüllgrabe, C., Moore, B. C. J., & Stone, M. A. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00347 · Cited by 527
Cortical contributions to the auditory frequency-following response revealed by MEG
Coffey, E. B. J., Herholz, S. C., Chepesiuk, A. M. P., Baillet, S., & Zatorre, R. J. (2016) · Nature Communications · doi:10.1038/ncomms11070 · Cited by 389
Aging Affects Neural Precision of Speech Encoding
Anderson, S., Parbery-Clark, A., White-Schwoch, T., & Kraus, N. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2176-12.2012 · Cited by 377
Metadata
- Authors
- Clinard, C. G., Tremblay, K. L., & Krishnan, A. R.
- Venue
- Hearing Research
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 264
- Issue
- 1-2
- Pages
- 48-55
- ISSN
- 0378-5955 (ISSN-L)
- OpenAlex
- W2059070069
- Cited by
- 190
- References
- 3
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Aging alters the perception and physiological representation of frequency: Evidence from human frequency-following response recordings. https://app.cochat.ai/papers/10.1016/j.heares.2009.11.010
- The paper
- Clinard, C. G., Tremblay, K. L., & Krishnan, A. R. (2010). Aging alters the perception and physiological representation of frequency: Evidence from human frequency-following response recordings. Hearing Research. https://doi.org/10.1016/j.heares.2009.11.010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.