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Objective: We proposed a subspace decomposition method capable of exploiting a UNB to represent the hippocampal morphological changes related to the APOE \u025b4 dose effects among the longitudinal APOE \u025b4 homozygotes (HM, N\u200a=\u200a30), heterozygotes (HT, N\u200a=\u200a49) and non-carriers (NC, N\u200a=\u200a61). Methods: Rank minimization mechanism combined with sparse constraint considering the local continuity of the hippocampal atrophy regions is used to extract group common structures. Based on the group common structures of amyloid-\u03b2 (A\u03b2) positive AD patients and A\u03b2 negative CU subjects, we identified the regions-of-interest (ROI), which reflect significant morphometry changes caused by the AD development. Then univariate morphometry index (UMI) is constructed from these ROIs. Results: The proposed UMI demonstrates a more substantial statistical discrimination power to distinguish the longitudinal groups with different APOE \u025b4 genotypes than the hippocampal volume measurements. And different APOE \u025b4 allele load affects the shrinkage rate of the hippocampus, i.e., HM genotype will cause the largest atrophy rate, followed by HT, and the smallest is NC. Conclusion: The UMIs may capture the APOE \u025b4 risk allele-induced brain morphometry abnormalities and reveal the dose effects of APOE \u025b4 on the hippocampal morphology in cognitively normal individuals.<\/jats:p>","DOI":"10.3233\/jad-215149","type":"journal-article","created":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T12:10:22Z","timestamp":1639743022000},"page":"1233-1250","source":"Crossref","is-referenced-by-count":1,"title":["Studying APOE \u025b4 Allele Dose Effects with\u00a0a Univariate Morphometry Biomarker"],"prefix":"10.1177","volume":"85","author":[{"given":"Gang","family":"Wang","sequence":"first","affiliation":[{"name":"School of Ulsan Ship and Ocean College, Ludong University, Yantai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"for the Alzheimer\u2019s Disease Neuroimaging 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