Research Question: We want to answer the question on how we can improve the early detection of Neurodegenerative Diseases using ocular image and other imaging modality. Many studies have been conducted on brain MRI. But very few studies have been done along this line using ocular images. We believe inclusion on ocular images (along with MRI, demographic and clinical information) will improve the early detection of neurodegenerative disease.
Scientific Rationale
A recent study, published in 2024, conducted based on retinal fundus image from UK Biobank, for the prediction of prevalence and incidence of Parkinson’s disease [2]. But the proposed model achieved around 70% accuracy. This indicates the fundus images can be used for the detection of neurogenerative diseases. Our hypothesis is that if we can incorporate such ocular imaging modalities as part of current clinical practice of neurodegenerative disease diagnosis, it may help to early diagnose a lot of patients
Objective:
The primary objective of this project is to develop, AI-solution for the early detection of neurogenerative disorder(ND) i.e., Parkinson’s disease (PD), Dementia (all subtypes of Dementia), Multiple sclerosis (MS), Age related Macular Degeneration (AMD), based on
(a) ocular image, i.e., fundus image, optical coherence tomography (OCT), optical coherence tomography angiography (OCTA)
(b) Other imaging modality CT, MRI, images
(c) Clinical data (collected at UKBiobank form blood, urine, saliva, etc).
(d) Demographics information
For this purpose we will case-control based study between case( Parkinson’s disease (PD), Dementia (all subtypes of Dementia, Vascular, Lewy Body, Frontotemporal, Mixed Dementia, ), Multiple sclerosis (MS)) vs. control (normal) , AMD setup.