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Hippocampus and amygdala volumes in a random community-based sample of 60–64 year olds and their relationship to cognition

Overview of attention for article published in Psychiatry Research: Neuroimaging Section, November 2007
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Title
Hippocampus and amygdala volumes in a random community-based sample of 60–64 year olds and their relationship to cognition
Published in
Psychiatry Research: Neuroimaging Section, November 2007
DOI 10.1016/j.pscychresns.2007.06.005
Pubmed ID
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Abstract

Reduced volumes of the hippocampus (HC) and amygdala (AG) are potential biomarkers for Alzheimer's disease (AD) and other neuropsychiatric disorders. Published studies on HC and AG volumes suffer from methodological limitations, and a valid and reliable normative database does not exist. This study aimed to establish a database of HC and AG volumes from a large community sample of participants 60-64 years old and relate them to cognition. A total of 452 randomly selected participants (from 622 approached) were retained in the study (238 males, 214 females), and all received brain MRI scans, as well as cognitive and physical assessments. HC and AG volumes were estimated from manual tracings on T1-weighted images, and intracranial volume (ICV) was obtained from an automated program. In both sexes, right hippocampi were larger than left, while left amygdala were larger than right. The only correlation to remain significant after normalization was left HC volume and percent retention of a word list in females. This study provides a HC and AG volumetrics database and describes its relationship with cognitive performance in a representative sample using a standard methodology that will be a reference for future studies. It will therefore have clinical applicability in early AD and other disorders.

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The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 4%
United States 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 8 15%
Researcher 8 15%
Student > Ph. D. Student 6 12%
Student > Master 6 12%
Professor > Associate Professor 5 10%
Other 8 15%
Unknown 11 21%
Readers by discipline
Readers by discipline Count As %
Neuroscience 13 25%
Psychology 11 21%
Medicine and Dentistry 10 19%
Engineering 2 4%
Chemical Engineering 1 2%
Other 2 4%
Unknown 13 25%