Diagnosis of Mild Cognitive Impairment (MCI) via Estimating the Density of Gray Matter Using Voxel-Based Morphometry (VBM) in the Brain Magnetic Resonance Imaging (MRI)

Background: Mild cognitive impairment (MCI) is a transmition phase between the normal elderly and demance which is due to the loss of brain cells, tends to irreversible loss of mental abilities and should be predicted at early stage. Common methods of diagnosis are biochemical and psychological test...

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Main Authors: Zahra Karimi, Saeed Kermani, Majid Barekatain
Format: Article
Language:fas
Published: Vesnu Publications 2016-02-01
Series:مجله دانشکده پزشکی اصفهان
Subjects:
Online Access:http://jims.mui.ac.ir/index.php/jims/article/view/4903
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spelling doaj-ed27b40a29d847359d6790d291a18c3d2020-11-25T00:28:49ZfasVesnu Publications مجله دانشکده پزشکی اصفهان1027-75951735-854X2016-02-0133363220422122102Diagnosis of Mild Cognitive Impairment (MCI) via Estimating the Density of Gray Matter Using Voxel-Based Morphometry (VBM) in the Brain Magnetic Resonance Imaging (MRI)Zahra Karimi0Saeed Kermani1Majid Barekatain2MSc Student, Department of Biomedical Engineering, School of Advanced Medical Technology AND Student Research Committee, Isfahan University of Medical Sciences, Isfahan, IranAssistant Professor, Department of Physics and Medical Engineering, School of Medicine AND Department of Biomedical Engineering, School of Advanced Medical Technology, Isfahan University of Medical Sciences, Isfahan, IranProfessor, Psychosomatic Research Center AND Department of Psychiatry, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IranBackground: Mild cognitive impairment (MCI) is a transmition phase between the normal elderly and demance which is due to the loss of brain cells, tends to irreversible loss of mental abilities and should be predicted at early stage. Common methods of diagnosis are biochemical and psychological tests. Recently, ragrding the developments in analysis of magnetic resonance imaging (MRI), it has been attended as a noninvasive and low-cost method. In this study, we tried to diagnos mild cognitive impairment via estimating the volume of gray matter using voxel-based morphometry (VBM) in brain MRI. Methods: 20 patients with mild cognitive impairment and 20 normal subjects aged 66.4 ± 4.6 and 65.3 ± 3.9 years, respectively, were assessed. All subjects underwent neuropsychological testing using Neuropsychiatry Unit Cognitive assessment tool and were scanned with 1.5T MRI. Images were pre-processed and analyzed using SPM8 running on Matlab2013b software. Finally for statistical analyses, modulated images of two groups were compared. Findings: Patients with mild cognitive impairment had significantly lower brain gray matter density in superior frontal gyrus (P = 0.013), inferior temporal gyrus (P = 0.013), inferior frontal gyrus (P = 0.017), paracentral lobule, superior temporal gyru, paracentral lobule (P = 0.022), and insula and middle temporal gyrus (P = 0.030). Conclusion: In this study were found several regions of local brain atrophy in patients with mild cognitive impairment within the regions known to be involved in early brain atrophy in mild cognitive impairment that reduce gray matter density.http://jims.mui.ac.ir/index.php/jims/article/view/4903Magnetic resonance imaging (MRI)Voxel-based morphometryMild cognitive impairmentGray MatterDensity
collection DOAJ
language fas
format Article
sources DOAJ
author Zahra Karimi
Saeed Kermani
Majid Barekatain
spellingShingle Zahra Karimi
Saeed Kermani
Majid Barekatain
Diagnosis of Mild Cognitive Impairment (MCI) via Estimating the Density of Gray Matter Using Voxel-Based Morphometry (VBM) in the Brain Magnetic Resonance Imaging (MRI)
مجله دانشکده پزشکی اصفهان
Magnetic resonance imaging (MRI)
Voxel-based morphometry
Mild cognitive impairment
Gray Matter
Density
author_facet Zahra Karimi
Saeed Kermani
Majid Barekatain
author_sort Zahra Karimi
title Diagnosis of Mild Cognitive Impairment (MCI) via Estimating the Density of Gray Matter Using Voxel-Based Morphometry (VBM) in the Brain Magnetic Resonance Imaging (MRI)
title_short Diagnosis of Mild Cognitive Impairment (MCI) via Estimating the Density of Gray Matter Using Voxel-Based Morphometry (VBM) in the Brain Magnetic Resonance Imaging (MRI)
title_full Diagnosis of Mild Cognitive Impairment (MCI) via Estimating the Density of Gray Matter Using Voxel-Based Morphometry (VBM) in the Brain Magnetic Resonance Imaging (MRI)
title_fullStr Diagnosis of Mild Cognitive Impairment (MCI) via Estimating the Density of Gray Matter Using Voxel-Based Morphometry (VBM) in the Brain Magnetic Resonance Imaging (MRI)
title_full_unstemmed Diagnosis of Mild Cognitive Impairment (MCI) via Estimating the Density of Gray Matter Using Voxel-Based Morphometry (VBM) in the Brain Magnetic Resonance Imaging (MRI)
title_sort diagnosis of mild cognitive impairment (mci) via estimating the density of gray matter using voxel-based morphometry (vbm) in the brain magnetic resonance imaging (mri)
publisher Vesnu Publications
series مجله دانشکده پزشکی اصفهان
issn 1027-7595
1735-854X
publishDate 2016-02-01
description Background: Mild cognitive impairment (MCI) is a transmition phase between the normal elderly and demance which is due to the loss of brain cells, tends to irreversible loss of mental abilities and should be predicted at early stage. Common methods of diagnosis are biochemical and psychological tests. Recently, ragrding the developments in analysis of magnetic resonance imaging (MRI), it has been attended as a noninvasive and low-cost method. In this study, we tried to diagnos mild cognitive impairment via estimating the volume of gray matter using voxel-based morphometry (VBM) in brain MRI. Methods: 20 patients with mild cognitive impairment and 20 normal subjects aged 66.4 ± 4.6 and 65.3 ± 3.9 years, respectively, were assessed. All subjects underwent neuropsychological testing using Neuropsychiatry Unit Cognitive assessment tool and were scanned with 1.5T MRI. Images were pre-processed and analyzed using SPM8 running on Matlab2013b software. Finally for statistical analyses, modulated images of two groups were compared. Findings: Patients with mild cognitive impairment had significantly lower brain gray matter density in superior frontal gyrus (P = 0.013), inferior temporal gyrus (P = 0.013), inferior frontal gyrus (P = 0.017), paracentral lobule, superior temporal gyru, paracentral lobule (P = 0.022), and insula and middle temporal gyrus (P = 0.030). Conclusion: In this study were found several regions of local brain atrophy in patients with mild cognitive impairment within the regions known to be involved in early brain atrophy in mild cognitive impairment that reduce gray matter density.
topic Magnetic resonance imaging (MRI)
Voxel-based morphometry
Mild cognitive impairment
Gray Matter
Density
url http://jims.mui.ac.ir/index.php/jims/article/view/4903
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