Hearing and Speech Perception are Associated with A/T/N Biomarkers of Alzheimer's Disease

Abstract Background Hearing loss is linked to dementia, yet its relationship with Alzheimer's disease (AD) biomarkers remains unclear. This study examines associations between performance on auditory and speech perception measures with neuroimaging measures of neurodegeneration (N; cortical volume), amyloid (A), and tau (T) to aid early AD detection. Method 121 participants from the Indiana Alzheimer's Disease Research Center underwent auditory testing and neuroimaging. Auditory assessments included CUNY sentences, Speech‐in‐Noise (QuickSiN), and Letter Number Sequencing (LNS). Neuroimaging measures included MRI‐based cortical volume extracted with Freesurfer v6 (N), cortical Centiloid value from amyloid PET (A), and bilateral mean meta‐temporal tau standardized uptake value ratio from tau PET (T). A one‐way ANCOVA was used to compare differences in auditory tests between diagnostic groups, while partial Pearson correlations were used to assess associations of auditory tests with A/T/N biomarkers, covaried for age, sex, and total intracranial volume ( N only). Result The sample (age=71.90±6.6; 63.9% female) included 49 cognitively normal older adults, 40 with subjective cognitive decline, 23 with mild cognitive impairment (MCI) due to AD, 7 with MCI due to other conditions, and 2 with AD. Significant diagnostic differences were observed in SNR loss on QuickSiN ( p = .006) and CUNY subtests, including AV words ( p <.001), AV sentences ( p = .037), and A words ( p = .002). Cortical amyloid correlated with SNR loss (r=.231, p = .045) and CUNY subscores, including auditory (Au) words (r=‐.272, p = .018) and word gain (r=‐.250, p = .031). LNS raw scores correlated with cortical volume (r=‐.311, p = .008). Associations were found between cortical volume and CUNY audiovisual (AV) words (r=.254, p = .023), A words (r=.395, p < .001), and sentence gain (r=‐.261, p = .020), but not with SNR loss. Meta‐temporal tau SUVR was associated with CUNY A words (r=‐.294, p = .021), A sent (r=‐.276, p = .031), word gain (r=.303, p = .016), and LNS raw scores (r=‐.276, p = .036), but not with SNR measures. Conclusion Findings suggest that auditory and speech perception tests are associated with neuroimaging biomarkers of AD, supporting the potential utility of hearing assessments as early screening tools for AD‐related pathology. Further research with larger sample sizes is warranted to strengthen these findings and explore their clinical implications.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_107173
Primary Topic
Hearing Loss and Rehabilitation
Type
article
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article

Hearing and Speech Perception are Associated with A/T/N Biomarkers of Alzheimer's Disease

Aaron Vosmeier, David B. Pisoni, Carolyn J. Herbert, Sunu Mathew et al.
Alzheimer s & Dementia
Hearing Loss and Rehabilitation
article

Hearing and Speech Perception are Associated with A/T/N Biomarkers of Alzheimer's Disease

Aaron Vosmeier, David B. Pisoni, Carolyn J. Herbert, Sunu Mathew, Charles W. Yates, David A. Clark, Andrew Joel Saykin, Fredrick Unverzagt, E. Foster, Savannah Hottle, Liana G. Apostolova, Jared R. Brosch, Martin R Farlow, Sujuan Gao, Sophia Wang, Shannon L Risacher
article en

Abstract

Abstract Background Hearing loss is linked to dementia, yet its relationship with Alzheimer's disease (AD) biomarkers remains unclear. This study examines associations between performance on auditory and speech perception measures with neuroimaging measures of neurodegeneration (N; cortical volume), amyloid (A), and tau (T) to aid early AD detection. Method 121 participants from the Indiana Alzheimer's Disease Research Center underwent auditory testing and neuroimaging. Auditory assessments included CUNY sentences, Speech‐in‐Noise (QuickSiN), and Letter Number Sequencing (LNS). Neuroimaging measures included MRI‐based cortical volume extracted with Freesurfer v6 (N), cortical Centiloid value from amyloid PET (A), and bilateral mean meta‐temporal tau standardized uptake value ratio from tau PET (T). A one‐way ANCOVA was used to compare differences in auditory tests between diagnostic groups, while partial Pearson correlations were used to assess associations of auditory tests with A/T/N biomarkers, covaried for age, sex, and total intracranial volume ( N only). Result The sample (age=71.90±6.6; 63.9% female) included 49 cognitively normal older adults, 40 with subjective cognitive decline, 23 with mild cognitive impairment (MCI) due to AD, 7 with MCI due to other conditions, and 2 with AD. Significant diagnostic differences were observed in SNR loss on QuickSiN ( p = .006) and CUNY subtests, including AV words ( p <.001), AV sentences ( p = .037), and A words ( p = .002). Cortical amyloid correlated with SNR loss (r=.231, p = .045) and CUNY subscores, including auditory (Au) words (r=‐.272, p = .018) and word gain (r=‐.250, p = .031). LNS raw scores correlated with cortical volume (r=‐.311, p = .008). Associations were found between cortical volume and CUNY audiovisual (AV) words (r=.254, p = .023), A words (r=.395, p < .001), and sentence gain (r=‐.261, p = .020), but not with SNR loss. Meta‐temporal tau SUVR was associated with CUNY A words (r=‐.294, p = .021), A sent (r=‐.276, p = .031), word gain (r=.303, p = .016), and LNS raw scores (r=‐.276, p = .036), but not with SNR measures. Conclusion Findings suggest that auditory and speech perception tests are associated with neuroimaging biomarkers of AD, supporting the potential utility of hearing assessments as early screening tools for AD‐related pathology. Further research with larger sample sizes is warranted to strengthen these findings and explore their clinical implications.

Alzheimer s & DementiaVol. 21(S2)
Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 30%
Hearing Loss and Rehabilitation
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