[Retinal Imaging as Potential Biomarkers for Dementia]

Area of Science:

• Ophthalmology
• Neurology
• Biomarker Discovery

Background:

• Alzheimer's disease (AD) is a major cause of dementia with costly and inaccessible diagnostic tools.
• Amyloid-beta (Aβ) plaques, a hallmark of AD, accumulate in the brain and are also detectable in the retina.
• The retina's developmental link to the brain and its non-invasive imaging accessibility make it a promising site for dementia biomarkers.

Purpose of the Study:

• To explore the potential of retinal imaging as a non-invasive biomarker for Alzheimer's disease (AD) and other dementias.
• To investigate the application of artificial intelligence (AI) in analyzing retinal images for dementia screening.
• To assess retinal imaging techniques for monitoring disease progression and therapeutic efficacy in dementia.

Main Methods:

• Utilizing optical coherence tomography (OCT) to measure inner retinal thickness.
• Analyzing fundus photography and OCT angiography for retinal vascular changes.
• Employing hyperspectral imaging to detect retinal amyloid-beta (Aβ) as a surrogate for brain Aβ.

Main Results:

• Inner retinal thinning is associated with an increased risk of dementia, including AD.
• Retinal vascular alterations identified via fundus photography and OCT angiography correlate with dementia.
• Hyperspectral imaging successfully identified retinal Aβ, suggesting its potential as a biomarker for brain Aβ.

Conclusions:

• Retinal imaging offers a novel, non-invasive approach for dementia screening and risk assessment.
• AI-powered analysis of retinal images can aid in automated interpretation and dementia screening.
• Retinal biomarkers hold potential for monitoring AD progression and evaluating treatment effectiveness.