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Article History

Received: 10 August 2022

Revised: 19 December 2022

Accepted: 2 February 2023

First Online: 9 March 2023

Declarations

:

: The scientific guarantor of this publication is Qiang Zheng from Yantai University, the lead author of the study.

: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

: One of the authors (Hongming Li, the second author, University of Pennsylvania) has significant statistical expertise and rich experience in biological research.

: Informed written consent was obtained from all participants.

: The study was approved by the institutional review boards of all the participating institutions.

: It should be noted that 990 of the 1650 subjects in ADNI cohort have been previously reported (Zhao et al, Jin et al). These prior studies focused on whether the hippocampal radiomics feature (Zhao et al) or 3D attention network model (Jin et al) can distinguish AD from NC, whereas the present study aims to verify whether a comprehensive characterization of hippocampal features of gray matter volume, segmentation probability, and radiomics features could better distinguish AD from NC, and to investigate whether the classification decision score could serve as a robust and individualized brain signature.Zhao K, Ding Y, Han Y, et al Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer’s disease: diagnosis, longitudinal progress and biological basis. Science Bulletin. 2020;65(13):1103–13.Jin D, Wang P, Zalesky A, et al Grab-AD: Generalizability and reproducibility of altered brain activity and diagnostic classification in Alzheimer's Disease. Hum Brain Mapp. 2020;41(12):3379–91.

: • retrospective• diagnostic or prognostic study• multicenter study