Could our eyes reveal early signs of Parkinson’s disease?

Optical coherence tomography scanning and AI is aiding scientists to find new ways to diagnose one of the most common neurodegenerative diseases in the world, write Salil Patel and Chrystalina Antoniades

Monday 05 October 2020 17:49
Comments
No diagnostic test currently exists, so an examination of symptoms is used
No diagnostic test currently exists, so an examination of symptoms is used

Parkinson’s disease is the second most common neurodegenerative disease, affecting over 10 million people worldwide. It’s characterised by changes in movement, including tremors, and slower and more rigid movements. But researchers are also beginning to investigate other symptoms of Parkinson’s disease – including those involving the eye.

Parkinson’s results from the degeneration of dopamine neurons in the brain’s basal ganglia – an area involved in voluntary movement. Though no cure exists for Parkinson’s, symptoms can be managed with drugs that replace dopamine.

No single diagnostic test exists for Parkinson’s as the blood-brain barrier (which protects the brain from pathogens roaming the bloodstream) and skull make it hard to assess the brain. As a result subjective assessments of symptoms are used to diagnose patients.

Given Parkinson’s is known to affect the body’s motor system, it’s perhaps not surprising it has been shown to disrupt eye movements. Promisingly, Parkinson’s may be diagnosed using technologies that already exist by showing subtle changes in eye movements and the thinning of specific layers in the retina. This may help measure the effectiveness of treatments and determine the progression of the disease.

Changes in movement

Studies investigating the effect of Parkinson’s on eye movements have focused on the rapid, ballistic movements of our eyes towards a stimulus (known as saccades). The opposite, antisaccades, are voluntary movements of our eyes moving away from a stimulus. Early studies showed errors in antisaccades – whereby participants failed to look away from a light stimulus – are higher in those with Parkinson’s.

Another study, which used deep brain stimulation, found targeting the globus pallidus interna – the brain area partially responsible for conscious movement – reduced the number of antisaccade errors. Deep brain stimulation is the only surgical treatment for Parkinson’s disease.

It works by directing electricity to precise regions of the brain. Stimulation targeting the subthalamic nucleus, an adjacent region, has no effect. Recently, researchers found stimulating the subthalamic nucleus increased antisaccade errors and delay both away from and towards a stimulus.

Though evidence from the small number of stimulation studies conflict, they highlight how Parkinson’s disease could influence eyes movements.

A study from earlier this year describes 85 per cent of recently diagnosed Parkinson’s patients displaying rhythmic eyelid fluttering upon closing their eyes. These small changes in movement can be measured using webcams, virtually. However, larger studies are needed to investigate the potential of eyelid fluttering as a diagnostic tool.

Retinal thinning

Researchers have identified the abnormal accumulation of the protein alpha-synuclein in areas of the brain involved with voluntary movement in patients with Parkinson’s disease. Alpha-synuclein is found throughout the brain, although its function is not yet well defined. It is thought to regulate the synthesis of dopamine, which in turn helps regulate movement.

Interestingly, a handful of recent studies have found an accumulation of alpha-synuclein in the retinal tissue of Parkinson’s patients compared to healthy samples. The amount of alpha-synuclein found may even correlate with the severity of disease – though this potential disease indicator can only be detected using post-mortem tissue samples.

Eye scans are routine practice meaning diagnoses are likely to made early on

Optical coherence tomography (OCT) scans, which take cross-sectional images of the retina’s ten distinct layers, may allow researchers to detect retinal changes in living patients. These scans are fast, non-invasive, relatively cheap and easy to use.

A number of OCT studies have so far shown retinal thinning in patients with Parkinson’s. Not only are dopamine neurons found in specific regions of the retina, the layers of the retina neighbouring these regions were found to harbour alpha-synuclein. Studies show retinal thinning does selectivity occur in these layers of the retina, potentially indicating the onset of early Parkinson’s disease.

Alongside diagnosing Parkinson’s, eye tests could also help track disease progression. A study involving 126 participants looked to see if OCT scans and simple visual chart tests in patients with Parkinson’s disease correlated with the risk of dementia (an algorithm was used to calculate risk).

Population-based approaches, coupled with the use of machine learning can sift through large databases, uncovering patterns

Those with Parkinson’s disease who were calculated to have the highest risk of dementia fared worse on the sight tests. These patients also were found to have greater retinal thinning. These findings were not replicated in participants who had a similarly high dementia risk, but no Parkinson’s diagnosis.

However, this type of study has limitations. The number of patients involved and other factors – such as the medication they take – can affect the findings. Eye tests are also harder to perform on patients with the most severe symptoms.

Big data

As more patients are studied, more can be learned about Parkinson’s disease. Big data studies can be advantageous because Parkinson’s disease is relatively common and eye scans are becoming increasingly routine. This allows researchers to analyse large numbers of OCT scans and retinal images already captured on patients with, and without, Parkinson’s. Databases such as this exist, the largest being the INSIGHT Data Hub for Eye Health, which consists of millions of eye scans alongside anonymised medical histories from over 250,000 patients. 

Population-based approaches, coupled with the use of machine learning (a type of artificial intelligence) and deep learning (a subset of machine learning), can sift through large databases, uncovering patterns. Researchers can use several eye scans from the same patient to help investigate disease progression.

An increasing body of evidence suggests that changes in eye movements and retinal structure result from the degeneration of dopamine, which is characteristic of Parkinson’s disease. 

Other visual disturbances, such as changes in rapid eye movement during sleep, motion perception, and colour vision, are also under investigation. Importantly, these changes can be detected non-invasively.

Additional reporting by Pearse Keane and Siegfried Wagner

Salil Patel is a research fellow at Moorfields Eye Hospital and Nuffield Department of Clinical Neurosciences and Chrystalina Antoniades is an associate professor of neuroscience. Both are at University of Oxford. Pearse Keane is a Professor of Ophthalmology and Siegfried Wagner is a research fellow of Ophthalmology. Both are at UCL. This article first appeared on The Conversation.

Register for free to continue reading

Registration is a free and easy way to support our truly independent journalism

By registering, you will also enjoy limited access to Premium articles, exclusive newsletters, commenting, and virtual events with our leading journalists

Please enter a valid email
Please enter a valid email
Must be at least 6 characters, include an upper and lower case character and a number
Must be at least 6 characters, include an upper and lower case character and a number
Must be at least 6 characters, include an upper and lower case character and a number
Please enter your first name
Special characters aren’t allowed
Please enter a name between 1 and 40 characters
Please enter your last name
Special characters aren’t allowed
Please enter a name between 1 and 40 characters
You must be over 18 years old to register
You must be over 18 years old to register
Opt-out-policy
You can opt-out at any time by signing in to your account to manage your preferences. Each email has a link to unsubscribe.

Already have an account? sign in

By clicking ‘Register’ you confirm that your data has been entered correctly and you have read and agree to our Terms of use, Cookie policy and Privacy notice.

This site is protected by reCAPTCHA and the Google Privacy policy and Terms of service apply.

Join our new commenting forum

Join thought-provoking conversations, follow other Independent readers and see their replies

Comments

Thank you for registering

Please refresh the page or navigate to another page on the site to be automatically logged in