<学術雑誌論文>
Voxel-Based Morphometry に基づくAlzheimer 病の診断 : 解析法の影響

作成者
本文言語
出版者
発行日
収録物名
開始ページ
終了ページ
出版タイプ
アクセス権
JaLC DOI
関連DOI
関連URI
関連HDL
概要 Purpose : The purpose of this study was to determine the optimalcomputationaloptions in voxel-based morphometry (VBM) for discrimination between Alzheimer's disease (AD) patients and healthy control (...HC) subjects. Materials and Methods : Structuralmagnetic resonance images of 24 AD patients and 26 HC subjects were analyzed using VBM to determine brain regions with significant gray matter (GM) loss due to AD. The VBM analyses were performed with 4 different computationaloptions : gray matter concentration (GMC) analysis with and without global normalization, and gray matter volume (GMV) analysis, with and without global normalization. Statistical maps calculated with the 4 computational options were obtained at 3 different P-value thresholds (P < 0. 001, P < 0. 0005, and P < 0. 0001, uncorrected for multiple comparisons), yielding a total of 12 sets of maps, from which regions-of-interest (ROI) were generated for subsequent analyses of performance in terms of discrimination between AD patients and HC subjects as based on the mean value of either the GMC or GMV within the ROI for each of the 12 maps. Discrimination performance was evaluated by means of comparing the area-under-the-curve derived from the receiver-operating characteristic analysis as well as on the accuracy of the discrimination. Results : Discrimination based on GMC analysis resulted in better performance than that based on GMV analysis. The best discrimination performance was achieved with GMC analysis either with or without proportionalgl obalnormal ization. Conclusion : The findings suggested that GMC-based VBM is better suited than GMV-based VBM for discrimination between AD patients and HC subjects.続きを見る

本文ファイル

pdf 059 pdf 2.53 MB 628  

詳細

PISSN
NCID
レコードID
査読有無
関連PubMed ID
主題
タイプ
登録日 2012.04.26
更新日 2021.07.28

この資料を見た人はこんな資料も見ています