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Brain Volume Differences Associated With Hearing Impairment in Adults

Overview of attention for article published in Trends in Hearing, March 2018
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Title
Brain Volume Differences Associated With Hearing Impairment in Adults
Published in
Trends in Hearing, March 2018
DOI 10.1177/2331216518763689
Pubmed ID
Authors

Defne Alfandari, Chris Vriend, Dirk J. Heslenfeld, Niek J. Versfeld, Sophia E. Kramer, Adriana A. Zekveld

Abstract

Speech comprehension depends on the successful operation of a network of brain regions. Processing of degraded speech is associated with different patterns of brain activity in comparison with that of high-quality speech. In this exploratory study, we studied whether processing degraded auditory input in daily life because of hearing impairment is associated with differences in brain volume. We compared T1-weighted structural magnetic resonance images of 17 hearing-impaired (HI) adults with those of 17 normal-hearing (NH) controls using a voxel-based morphometry analysis. HI adults were individually matched with NH adults based on age and educational level. Gray and white matter brain volumes were compared between the groups by region-of-interest analyses in structures associated with speech processing, and by whole-brain analyses. The results suggest increased gray matter volume in the right angular gyrus and decreased white matter volume in the left fusiform gyrus in HI listeners as compared with NH ones. In the HI group, there was a significant correlation between hearing acuity and cluster volume of the gray matter cluster in the right angular gyrus. This correlation supports the link between partial hearing loss and altered brain volume. The alterations in volume may reflect the operation of compensatory mechanisms that are related to decoding meaning from degraded auditory input.

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Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 8 13%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Other 4 6%
Other 5 8%
Unknown 21 33%
Readers by discipline Count As %
Psychology 13 21%
Neuroscience 11 17%
Medicine and Dentistry 8 13%
Nursing and Health Professions 2 3%
Engineering 2 3%
Other 3 5%
Unknown 24 38%