Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer’s Disease Progression via Counterfactual Inference

Haixing Dai; Mengxuan Hu; Qing Li; Lu Zhang; Dajiang Zhu; Quanzheng Li; Sheng Li; Tianming Liu; Xiang Li

doi:10.1364/ISA.2023.ITh1C.2

Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP)
Technical Digest Series (Optica Publishing Group, 2023),
paper ITh1C.2
•https://doi.org/10.1364/ISA.2023.ITh1C.2

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer’s Disease Progression via Counterfactual Inference

Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Dajiang Zhu, Quanzheng Li, Sheng Li, Tianming Liu, and Xiang Li

Imaging Systems and Applications 2023

Boston, Massachusetts United States
14–17 August 2023
ISBN: 978-1-957171-28-9

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H. Dai, M. Hu, Q. Li, L. Zhang, D. Zhu, Q. Li, S. Li, T. Liu, and X. Li, "Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer’s Disease Progression via Counterfactual Inference," in Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), Technical Digest Series (Optica Publishing Group, 2023), paper ITh1C.2.

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Abstract

We developed GVCNet for estimating the individual treatment effect of regional amyloid-beta accumulation in the brain, characterized by Positron Emission Tomography, and its counterfactual causal relationship with the progression of Alzheimer’s Disease.

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