TY - JOUR
T1 - Association of Speech Recognition Thresholds With Brain Volumes and White Matter Microstructure
T2 - The Rotterdam Study
AU - Armstrong, Nicole M.
AU - Croll, Pauline H.
AU - Oosterloo, Berthe C.
AU - Lin, Frank R.
AU - Ikram, M. Arfan
AU - Goedegebure, André
AU - Vernooij, Meike W.
N1 - Funding Information:
The Rotterdam Study is supported by the Erasmus Medical Center and Erasmus University, Rotterdam, The Netherlands; the Organization for Scientific Research; the Netherlands Organization for Health Research and Development; the Research Institute for Diseases in the Elderly; the Netherlands Genomics Initiative; the Ministry of Education, Culture, and Science; the Ministry of Health, Welfare, and Sports; the European Commission (DG XII); and the Municipality of Rotterdam. Hearing-related research within the Rotterdam Study is partly funded by The Heinsius Houbolt Foundation. Separately, N.M.A. is supported by the Intramural Research Program at the National Institute on Aging, Baltimore, Maryland (N.M.A. received funding).
Publisher Copyright:
© 2020, Otology & Neurotology, Inc.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Objectives: Brain volumetric declines may underlie the association between hearing loss and dementia. While much is known about the peripheral auditory function and brain volumetric declines, poorer central auditory speech processing may also be associated with decreases in brain volumes. Methods: Central auditory speech processing, measured by the speech recognition threshold (SRT) from the Digits-in-Noise task, and neuroimaging assessments (structural magnetic resonance imaging [MRI] and fractional anisotropy and mean diffusivity from diffusion tensor imaging), were assessed cross-sectionally in 2,368 Rotterdam Study participants aged 51.8 to 97.8 years. SRTs were defined continuously and categorically by degrees of auditory performance (normal, insufficient, and poor). Brain volumes from structural MRI were assessed on a global and lobar level, as well as for specific dementia-related structures (hippocampus, entorhinal cortex, parahippocampal gyrus). Multivariable linear regression models adjusted by age, age-squared, sex, educational level, alcohol consumption, intracranial volume (MRI only), cardiovascular risk factors (hypertension, diabetes, obesity, current smoking), and pure-tone average were used to determine associations between SRT and brain structure. Results: Poorer central auditory speech processing was associated with larger parietal lobe volume (difference in mL per dB increase= 0.24, 95% CI: 0.05, 0.42), but not with diffusion tensor imaging measures. Degrees of auditory performance were not associated with brain volumes and white matter microstructure. Conclusions: Central auditory speech processing in the presence of both vascular burden and pure-tone average may not be related to brain volumes and white matter microstructure. Longitudinal follow-up is needed to explore these relationships thoroughly.
AB - Objectives: Brain volumetric declines may underlie the association between hearing loss and dementia. While much is known about the peripheral auditory function and brain volumetric declines, poorer central auditory speech processing may also be associated with decreases in brain volumes. Methods: Central auditory speech processing, measured by the speech recognition threshold (SRT) from the Digits-in-Noise task, and neuroimaging assessments (structural magnetic resonance imaging [MRI] and fractional anisotropy and mean diffusivity from diffusion tensor imaging), were assessed cross-sectionally in 2,368 Rotterdam Study participants aged 51.8 to 97.8 years. SRTs were defined continuously and categorically by degrees of auditory performance (normal, insufficient, and poor). Brain volumes from structural MRI were assessed on a global and lobar level, as well as for specific dementia-related structures (hippocampus, entorhinal cortex, parahippocampal gyrus). Multivariable linear regression models adjusted by age, age-squared, sex, educational level, alcohol consumption, intracranial volume (MRI only), cardiovascular risk factors (hypertension, diabetes, obesity, current smoking), and pure-tone average were used to determine associations between SRT and brain structure. Results: Poorer central auditory speech processing was associated with larger parietal lobe volume (difference in mL per dB increase= 0.24, 95% CI: 0.05, 0.42), but not with diffusion tensor imaging measures. Degrees of auditory performance were not associated with brain volumes and white matter microstructure. Conclusions: Central auditory speech processing in the presence of both vascular burden and pure-tone average may not be related to brain volumes and white matter microstructure. Longitudinal follow-up is needed to explore these relationships thoroughly.
KW - Brain volumes
KW - Central auditory speech processing
KW - Digits-in-noise test
KW - White matter
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UR - http://www.scopus.com/inward/citedby.url?scp=85091053676&partnerID=8YFLogxK
U2 - 10.1097/MAO.0000000000002739
DO - 10.1097/MAO.0000000000002739
M3 - Article
C2 - 32925839
AN - SCOPUS:85091053676
SN - 1531-7129
VL - 41
SP - 1202
EP - 1209
JO - Otology and Neurotology
JF - Otology and Neurotology
IS - 9
ER -