ScholarLens Back to search
2013•Unpublished venueRequires access

Voxel-based morphometry analyses in Alzheimer's disease

Anabela Matos, Paula Pascoal‐Faria, Miguel Patrício

Open publisher page 6 citations

Abstract

Alzheimer's disease (AD) is a neurodegenerative disease recognized as one of the most important medical problems affecting the elderly. It is characterized by an irreversible loss of neurons which is mostly pronounced in the grey matter and specifically in the hippocampus. The aim of this paper is to identify alterations in grey matter in MRI images of AD patients, when compared to those of healthy volunteers, using Voxel-Based Morphometry (VBM). The latter is a widely used statistical-based technique that allows the detection of alterations in brain tissue. In our study, we used VBM to detect significant grey matter alterations of the hippocampal region in AD patients, which is consistent with previous findings reported in the literature. We also examined how the Mini Mental State Examination (MMSE) scores relates to the volume differences detected by VBM.1

About this research paper

What this paper is about

Alzheimer's disease (AD) is a neurodegenerative disease recognized as one of the most important medical problems affecting the elderly. It is characterized by an irreversible loss of neurons which is mostly pronounced in the grey matter and specifically in the hippocampus. The aim of this paper is to identify alterations in grey matter in MRI images of AD patients, when compared to those of healthy volunteers, using Voxel-Based Morphometry (VBM). The latter is a widely used statistical-based technique that allows the detection of alterations in brain tissue. In our study, we used VBM to detect significant grey matter alterations of the hippocampal region in AD patients, which is consistent with previous findings reported in the literature. We also examined how the Mini Mental State Examination (MMSE) scores relates to the volume differences detected by VBM.1

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Alzheimer's disease (AD) is a neurodegenerative disease recognized as one of the most important medical problems affecting the elderly. It is characterized by an irreversible loss of neurons which is mostly pronounced in the grey matter and specifically in the hippocampus. The aim of this paper is to identify alterations in grey matter in MRI images of AD patients, when compared to those of healthy volunteers, using Voxel-Based Morphometry (VBM). The latter is a widely used statistical-based technique that allows the detection of alterations in brain tissue. In our study, we used VBM to detect significant grey matter alterations of the hippocampal region in AD patients, which is consistent with previous findings reported in the literature. We also examined how the Mini Mental State Examination (MMSE) scores relates to the volume differences detected by VBM.1

Key concepts: Grey matter, Voxel-based morphometry, Voxel, Alzheimer's disease, Hippocampus, Hippocampal formation, Disease, Neuroscience

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Voxel-based morphometry analyses in Alzheimer's disease — Research Paper | ScholarLens