Literature DB >> 30291764

Amygdala subnuclei and healthy cognitive aging.

Arash Aghamohammadi-Sereshki1, Stanislau Hrybouski1, Scott Travis1, Yushan Huang2, Fraser Olsen2, Rawle Carter2, Richard Camicioli1,3, Nikolai V Malykhin1,2.   

Abstract

Amygdala is a group of nuclei involved in the neural circuits of fear, reward learning, and stress. The main goal of this magnetic resonance imaging (MRI) study was to investigate the relationship between age and the amygdala subnuclei volumes in a large cohort of healthy individuals. Our second goal was to determine effects of the apolipoprotein E (APOE) and brain-derived neurotrophic factor (BDNF) polymorphisms on the amygdala structure. One hundred and twenty-six healthy participants (18-85 years old) were recruited for this study. MRI datasets were acquired on a 4.7 T system. Amygdala was manually segmented into five major subdivisions (lateral, basal, accessory basal nuclei, and cortical, and centromedial groups). The BDNF (methionine and homozygous valine) and APOE genotypes (ε2, homozygous ε3, and ε4) were obtained using single nucleotide polymorphisms. We found significant nonlinear negative associations between age and the total amygdala and its lateral, basal, and accessory basal nuclei volumes, while the cortical amygdala showed a trend. These age-related associations were found only in males but not in females. Centromedial amygdala did not show any relationship with age. We did not observe any statistically significant effects of APOE and BDNF polymorphisms on the amygdala subnuclei volumes. In contrast to APOE ε2 allele carriers, both older APOE ε4 and ε3 allele carriers had smaller lateral, basal, accessory basal nuclei volumes compared to their younger counterparts. This study indicates that amygdala subnuclei might be nonuniformly affected by aging and that age-related association might be gender specific.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  aging; amygdala subnuclei; apolipoprotein E (APOE); brain-derived neurotrophic factor (BDNF); magnetic resonance imaging

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Year:  2018        PMID: 30291764      PMCID: PMC6865708          DOI: 10.1002/hbm.24353

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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