Multimodal imagiNg of rEtinal ManifestatiOns of Alzheimer’s diseaSe for earlY diagNosis and clinical rEsearch.

Although Alzheimer’s disease (AD) is the number one dementia cause, the currently available diagnostic techniques (brain imaging and cerebrospinal fluid sampling) do not allow preclinical diagnosis or screening due to their high cost, limited resolution and invasiveness. Retinal imaging has emerged as a new avenue for AD detection since, both post-mortem and in vivo retinal imaging studies of people with AD, together with animal studies, have indicated that amyloid beta and tau accumulate in the retina. In addition, neurodegeneration of the inner retina and optic nerve, as well as retinal vascular changes have been described in the disease. This project aims to develop a diagnostic biomarker for (early) detection of AD based on multimodal retinal imaging (MMRI). The objective of this study is to collect an MMRI dataset and analyze these data with advanced artificial intelligence (AI) techniques to assess the discriminative and diagnostic power of this biomarker.

Keywords:Alzheimer's disease, Retinal imaging, Hyperspectral imaging, biomarkers

Disciplines:Cognitive neuroscience