Literature DB >> 20920588

Correlation between baseline regional gray matter volume and global gray matter volume decline rate.

Yasuyuki Taki1, Shigeo Kinomura, Kazunori Sato, Ryoi Goto, Kai Wu, Ryuta Kawashima, Hiroshi Fukuda.   

Abstract

Evaluating whole-brain or global gray matter volume decline rate is important in distinguishing neurodegenerative diseases from normal aging and in anticipating cognitive decline over a given period in non-demented subjects. Whether a significant negative correlation exists between baseline regional gray matter volume of several regions and global gray matter volume decline in the subsequent time period in healthy subjects has not yet been clarified. Therefore, we analyzed the correlation between baseline regional gray matter volumes and the rate of global gray matter volume decline in the period following baseline using magnetic resonance images of the brains of 381 healthy subjects by applying a longitudinal design over 6 years using voxel-based morphometry. As a result, the annual percentage change in gray matter ratio (GMR, APC(GMR)), in which GMR represents the percentage of gray matter volume in the intracranial volume, showed a significant negative correlation with the baseline regional gray matter volumes of the right posterior cingulate cortex/precuneus and the left hippocampus. Additionally, baseline regional gray matter volume of both the right PCC/precuneus and the left hippocampus significantly distinguished whether the APC(GMR) was above or below the mean of APC(GMR). Our results suggest that baseline regional gray matter volume predicts the rate of global gray matter volume decline in the subsequent period in healthy subjects. Our study may contribute to distinguishing neurodegenerative diseases from normal aging and to predicting cognitive decline.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20920588     DOI: 10.1016/j.neuroimage.2010.09.071

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  4 in total

1.  Variation in longitudinal trajectories of regional brain volumes of healthy men and women (ages 10 to 85 years) measured with atlas-based parcellation of MRI.

Authors:  Adolf Pfefferbaum; Torsten Rohlfing; Margaret J Rosenbloom; Weiwei Chu; Ian M Colrain; Edith V Sullivan
Journal:  Neuroimage       Date:  2012-10-12       Impact factor: 6.556

2.  Adjusting for global effects in voxel-based morphometry: gray matter decline in normal aging.

Authors:  Jonathan E Peelle; Rhodri Cusack; Richard N A Henson
Journal:  Neuroimage       Date:  2012-01-08       Impact factor: 6.556

3.  Leisure Activity Variety and Brain Volume Among Community-Dwelling Older Adults: Analysis of the Neuron to Environmental Impact Across Generations Study Data.

Authors:  Ai Iizuka; Hiroshi Murayama; Masaki Machida; Shiho Amagasa; Shigeru Inoue; Takeo Fujiwara; Yugo Shobugawa
Journal:  Front Aging Neurosci       Date:  2021-11-30       Impact factor: 5.750

4.  A longitudinal study of structural brain network changes with normal aging.

Authors:  Kai Wu; Yasuyuki Taki; Kazunori Sato; Haochen Qi; Ryuta Kawashima; Hiroshi Fukuda
Journal:  Front Hum Neurosci       Date:  2013-04-03       Impact factor: 3.169

  4 in total

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