Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability

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• 作者：Long Xie^a ; ^h ; ^{lxie@seas.upenn.edu} ; John B. Pluta^a ; ^d ; Sandhitsu R. Das^a ; ^c ; ^d ; Laura E.M. Wisse^a ; ^d ; Hongzhi Wang^f ; Lauren Mancuso^b ; ^c ; Dasha Kliot^b ; ^c ; Brian B. Avants^a ; ^d ; Song-Lin Ding^e ; ⁱ ; José ; V. Manjó ; n^g ; David A. Wolk^b ; ^c ; Paul A. Yushkevich^a ; ^d
• 关键词：AD ; Alzheimer's disease ; ASHS ; automatic segmentation of hippocampal subfields ; AUC ; area under the curve ; aMCI ; amnestic mild cognitive impairment ; BA35 and BA36 ; Brodmann area 35 and 36 ; CA ; cornu ammonis ; CS ; collateral sulcus ; DG ; dentate gyrus ; DSC ; Dice similarity coefficient ; ERC ; entorhinal cortex ; FDR ; false discovery rate ; FWER ; family-wise error rate ; GDSC ; generalized Dice similarity coefficient ; GLM ; general linear model ; HD ; Hausdorff distance ; ICV ; intracranial volume ; MST ; minimu
• 刊名：NeuroImage
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：144
• 期：part_PA
• 页码：183-202
• 全文大小：2688 K
• 卷排序：144

文摘

A multi-template framework is proposed to quantify perirhinal cortex (PRC) using MRI. The framework explicitly models the 3 discrete anatomical variants of PRC. Better correspondences are established between subject's PRC anatomies. Regional and summary measures yield stronger power in discriminating aMCI. Spatial distributions of early AD pathology may vary among anatomical variants.