2012 5th International Conference on BioMedical Engineering and Informatics 2012
DOI: 10.1109/bmei.2012.6513178
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Longitudinal change of the grey matter of mild congnitive impairment patients over 3 years by using voxel-based morphometry

Abstract: The atrophic changes in mild cognitive impairment (MCI) have been proposed as biomarkers for detection and monitoring. This paper analyzed magnetic resonance imaging (MRI) to identify the atrophy regions of the whole brain grey matter (GM) in longitudinal MCI group. Based on the method of voxel-based morphometry (VBM), the two-sample t test was performed to compare MCI (n=21) in the initial stage (baseline) and that in 3 years which were got from ADNI. Our results are as followed, 3 years later, the regions of… Show more

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Cited by 5 publications
(5 citation statements)
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“…In particular, this work emphasizes the roles of dFC as well as dFCT as the potential biomarkers for accurate diagnosis of MCI subjects. Note that several of these potential biomarkers detected by our study are shared by the biomarkers suggested by previous longitudinal studies [Yang et al, ], such as the frontal lobe and paracentral lobule. More importantly, the dFC and dFCT biomarkers suggested by our study can be used as the potential biomarker candidates in the future hypothesis‐orientated longitudinal studies for more comprehensive characterization of the trajectory of the neurodegeneration.…”
Section: Discussionsupporting
confidence: 78%
“…In particular, this work emphasizes the roles of dFC as well as dFCT as the potential biomarkers for accurate diagnosis of MCI subjects. Note that several of these potential biomarkers detected by our study are shared by the biomarkers suggested by previous longitudinal studies [Yang et al, ], such as the frontal lobe and paracentral lobule. More importantly, the dFC and dFCT biomarkers suggested by our study can be used as the potential biomarker candidates in the future hypothesis‐orientated longitudinal studies for more comprehensive characterization of the trajectory of the neurodegeneration.…”
Section: Discussionsupporting
confidence: 78%
“…Another work on Computer-aided diagnostic reporting of FluDeoxyGlucose -Positron Emission Tomography (FDG-PET) for the diagnosis of AD is based on bio-markers which involve the statistical voxel-by-voxel comparison of FDG uptake compared to normative dataset. The Longitudinal Evaluation of Structural Changes in Frontotemporal Dementia [16] suggests that the neuron destruction reflects volume changes on brain tissues such as GM, WM and CSF. White matter loss is associated with neuro degenerative disorders.…”
Section: Introductionmentioning
confidence: 99%
“…According to the report from the xjVIEW and used the predefined anatomical masks obtained from the automated anatomical labeling (AAL) [11], GM atrophy regions, the location and MNI coordinates were listed in Table 3.…”
Section: The Brain Region Of Gm Atrophymentioning
confidence: 99%