Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share By
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)



Karimi Z1 ; Kermani S2 ; Barekatain M3
Authors

Source: Journal of Isfahan Medical School Published:2016

Abstract

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 lowcost 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. © 2016, Isfahan University of Medical Sciences(IUMS). All Rights Reserved.
Related Docs
View other Related Docs
1. Evaluation and Estimation of Gray Matter Volume Using Voxel-Based Morphometry of the Brain Magnetic Resonance Imaging (Mri) in Normal Elderly People and Those With Mild Cognitive Impairment, Journal of Isfahan Medical School (2015)
2. The Relationship Between Regional Brain Volumes and the Extent of Coronary Artery Disease in Mild Cognitive Impairment, Journal of Research in Medical Sciences (2014)
3. Cognitive Rehabilitation in Patients With Nonamnestic Mild Cognitive Impairment, Journal of Research in Medical Sciences (2016)
Experts (# of related papers)
View all Related Experts
Majid Barekatain (8)
Mohammad Reza Maracy (4)
Other Related Docs
4. Proposing an Approach for Diagnosis of Mild Cognitive Impairment Based on Approximate Entropy, Journal of Isfahan Medical School (2017)
5. Automatic Diagnosis of Mild Cognitive Impairment Using Electroencephalogram Spectral Features, Journal of Medical Signals and Sensors (2016)
6. The Relationship Between Cognitive Disorders and Hippocampal Angle in Patients Multiple Sclerosis, Journal of Isfahan Medical School (2019)
7. Psychometric Properties of the Montreal Cognitive Assessment (Moca) in Parkinson’S Disease Patients in Isfahan, Journal of Isfahan Medical School (2011)
8. Elevated Serum Leucine Levels Are Associated With Cognitive Impairment and Reduced Gray Matter and Cerebral Volume Across the Alzheimer's Disease Continuum, Neuroscience (2025)
9. Temporal and Extratemporal Atrophic Manifestation of Temporal Lobe Epilepsy Using Voxel-Based Morphometry and Corticometry: Clinical Application in Lateralization of Epileptogenic Zone, Neurological Sciences (2021)
10. Diagnostic Performance of Mri Radiomics for Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Subjects: A Systematic Review and Meta-Analysis, Aging Clinical and Experimental Research (2023)
11. Growth-Associated Protein 43 Levels in the Cerebrospinal Fluid Correspond to the Cerebral Blood Flow Alterations in Alzheimer's Dementia Continuum: An Original Study, Health Science Reports (2025)
12. Longitudinal Structural Mri-Based Deep Learning and Radiomics Features for Predicting Alzheimer’S Disease Progression, Alzheimer's Research and Therapy (2025)
13. Transfer Learning and Neural Network-Based Approach on Structural Mri Data for Prediction and Classification of Alzheimer’S Disease, Diagnostics (2025)
14. One-Year Follow-Up Evaluation of Cognitive Function in Patients With Coronary Artery Disease and Over 65 Years of Age in Isfahan City, Iran, Journal of Isfahan Medical School (2017)
15. Comparisons of Voxel-Based Morphometric Brain Volumes of Individuals With Methamphetamine-Induced Psychotic Disorder and Schizophrenia Spectrum Disorder and Healthy Controls, Neuropsychobiology (2020)
16. Amino Acid Patterns Predict White Matter Integrity Measures in the Brain in Patients Across the Alzheimer’S Disease Continuum, Metabolic Brain Disease (2025)
17. Relationship Between Cognitive Profile and Neuroradiographic Parameters in Patients With Idiopathic Normal Pressure Hydrocephalus, Current Journal of Neurology (2022)
18. Association Between Diffusion Tensor Imaging Measurements and Cognitive Performances in People With Multiple Sclerosis: A Systematic Review and Meta-Analysis, Multiple Sclerosis and Related Disorders (2025)
19. Cognitive Function and Brain Magnetic Resonance Imaging Profiles in Neuromyelitis Optica Spectrum Disorder and Multiple Sclerosis, Journal of Research in Medical Sciences (2024)
20. A Comprehensive Investigation of the Associations Between Tensor-Based Morphometry Indices and Executive Functions, Memory, Language, and Visuospatial Abilities in Patients in the Alzheimer's Disease Continuum, Clinical Neurology and Neurosurgery (2024)