Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis

• URL: http://arxiv.org/abs/2407.14191v1
• Date: Fri, 19 Jul 2024 10:39:24 GMT
• Title: Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis
• Authors: Ayodeji Ijishakin, Adamos Hadjasavilou, Ahmed Abdulaal, Nina Montana-Brown, Florence Townend, Edoardo Spinelli, Massimo Fillipi, Federica Agosta, James Cole, Andrea Malaspina,
• Abstract summary: Normative models present a solution as they increase statistical power by leveraging large healthy cohorts. We combine the benefits of generative and normative modelling by introducing the normative diffusion autoencoder framework. Our approach outperforms generative and non-generative normative modelling benchmarks in ALS prognostication.
• Score: 1.7397451877951422
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Predicting survival in Amyotrophic Lateral Sclerosis (ALS) is a challenging task. Magnetic resonance imaging (MRI) data provide in vivo insight into brain health, but the low prevalence of the condition and resultant data scarcity limit training set sizes for prediction models. Survival models are further hindered by the subtle and often highly localised profile of ALS-related neurodegeneration. Normative models present a solution as they increase statistical power by leveraging large healthy cohorts. Separately, diffusion models excel in capturing the semantics embedded within images including subtle signs of accelerated brain ageing, which may help predict survival in ALS. Here, we combine the benefits of generative and normative modelling by introducing the normative diffusion autoencoder framework. To our knowledge, this is the first use of normative modelling within a diffusion autoencoder, as well as the first application of normative modelling to ALS. Our approach outperforms generative and non-generative normative modelling benchmarks in ALS prognostication, demonstrating enhanced predictive accuracy in the context of ALS survival prediction and normative modelling in general.

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