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A Longitudinal Study of Atrophy in Amnestic Mild Cognitive Impairment and Normal Aging Revealed by Cortical Thickness

Overview of attention for article published in PLOS ONE, November 2012
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Title
A Longitudinal Study of Atrophy in Amnestic Mild Cognitive Impairment and Normal Aging Revealed by Cortical Thickness
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048973
Pubmed ID
Authors

Zhijun Yao, Bin Hu, Chuanjiang Liang, Lina Zhao, Mike Jackson, the Alzheimer's Disease Neuroimaging Initiative

Abstract

In recent years, amnestic mild cognitive impairment (aMCI) has attracted significant attention as an indicator of high risk for Alzheimer's disease. An understanding of the pathology of aMCI may benefit the development of effective clinical treatments for dementia. In this work, we measured the cortical thickness of 109 aMCI subjects and 99 normal controls (NC) twice over two years. The longitudinal changes and the cross-sectional differences between the two types of participants were explored using the vertex thickness values. The thickness of the cortex in aMCI was found significantly reduced in both longitudinal and between-group comparisons, mainly in the temporal lobe, superolateral parietal lobe and some regions of the frontal cortices. Compared to NC, the aMCI showed a significantly high atrophy rate in the left lateral temporal lobe and left parahippocampal gyrus over two years. Additionally, a significant positive correlation between brain atrophy and the decline of Mini-Mental State Examination (MMSE) scores was also found in the left superior and left middle temporal gyrus in aMCI. These findings demonstrated specific longitudinal spatial patterns of cortical atrophy in aMCI and NC. The higher atrophy rate in aMCI might be responsible for the accelerated functional decline in the aMCI progression process.

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The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
India 1 1%
Australia 1 1%
Unknown 94 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 20%
Student > Master 15 15%
Researcher 12 12%
Student > Bachelor 8 8%
Student > Doctoral Student 7 7%
Other 14 14%
Unknown 22 23%
Readers by discipline Count As %
Psychology 19 20%
Medicine and Dentistry 17 18%
Neuroscience 12 12%
Computer Science 5 5%
Social Sciences 5 5%
Other 10 10%
Unknown 29 30%