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Hippocampal Brain Volume Is Associated with Faster Facial Emotion Identification in Older Adults: Preliminary Results

Overview of attention for article published in Frontiers in Aging Neuroscience, August 2016
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Title
Hippocampal Brain Volume Is Associated with Faster Facial Emotion Identification in Older Adults: Preliminary Results
Published in
Frontiers in Aging Neuroscience, August 2016
DOI 10.3389/fnagi.2016.00203
Pubmed ID
Authors

Sarah M. Szymkowicz, Jonas Persson, Tian Lin, Håkan Fischer, Natalie C. Ebner

Abstract

Quick correct identification of facial emotions is highly relevant for successful social interactions. Research suggests that older, compared to young, adults experience increased difficulty with face and emotion processing skills. While functional neuroimaging studies suggest age differences in neural processing of faces and emotions, evidence about age-associated structural brain changes and their involvement in face and emotion processing is scarce. Using structural magnetic resonance imaging (MRI), this study investigated the extent to which volumes of frontal and temporal brain structures were related to reaction time in accurate identification of facial emotions in 30 young and 30 older adults. Volumetric segmentation was performed using FreeSurfer and gray matter volumes from frontal and temporal regions were extracted. Analysis of covariances (ANCOVAs) models with response time (RT) as the dependent variable and age group and regional volume, and their interaction, as independent variables were conducted, controlling for total intracranial volume (ICV). Results indicated that, in older adults, larger hippocampal volumes were associated with faster correct facial emotion identification. These preliminary observations suggest that greater volume in brain regions associated with face and emotion processing contributes to improved facial emotion identification performance in aging.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Bachelor 5 13%
Student > Master 5 13%
Student > Doctoral Student 3 8%
Professor 2 5%
Other 5 13%
Unknown 11 29%
Readers by discipline Count As %
Psychology 12 32%
Neuroscience 7 18%
Medicine and Dentistry 3 8%
Social Sciences 1 3%
Unknown 15 39%