EyeBrain Launches New Software to Measure Eye Movement Disorders in Children

EyeBrain, a company that develops brain function markers for neurological and psychiatric conditions, announces the launch of a new application to measure eye movement disorders in children when reading. This new medical software, known as "Reading Application", enables specialists to automatically and quickly assess eye movement parameters in their patients when reading and in particular pinpoint disorders affecting the control of both eyes. This application could also be used to track the progression of eye movement disorders, guide orthoptic visual therapy and monitor the effects of this therapy.

Under normal circumstances, children should be capable of reading after two years in primary school. To have a disability, a child must have a reading age of at least 18 months behind his/her chronological age. Therefore, in theory, a reading disability cannot be diagnosed until year four of primary school.

With this application, EyeBrain provides medical professionals specializing in reading disabilities, including ophthalmologists, neurologists, psychiatrists, orthoptists, neuropsychologists and speech-language pathologists, with new brain function markers for reading. The two-minute eye movement examination can be used to accurately measure certain eye movement parameters during the reading process and thus help to detect these disabilities earlier.

Functional markers are analyzed during the examination by means of reading tasks and visual searching. This involves evaluating the time taken to complete tasks and measuring prosaccades, antisaccades and fixations, as well as the coordination of both eyes during saccades and fixations. A lack of coordination between both eyes is known as a disconjugate gaze. The capacity for coordination of both eyes is linked to convergence and divergence of eye movements and enables a stable gaze. The results are automatically analyzed and then presented in a medical report, which compares each of the markers analyzed to norms for children of the same age.

"Reading disabilities affect between 1 per cent and 15 per cent of children worldwide, depending on the study and the language spoken. Using the software developed by EyeBrain, we can introduce treatment at an earlier stage, therefore increasing its efficacy," explained Maria-Pia Bucci, research manager at the French National Centre for Scientific Research (CNRS). "We recently published a study conducted with the Mobile EyeBrain Tracker (EBT) on the detection of disconjugate gazes in dyslexic children in PLoS ONE (1)."

The research that has led to the development of this new product was conducted as part of a collaboration between EyeBrain, the CNRS and the Paris Descartes University, within the Robert-Debre Hospital, which is part of the Assistance Publique des Hopitaux de Paris (the public hospital system in Paris). The research was co-funded by the European Union through the European Regional Development Fund.

"With this new patent-protected medical software unique to our company, EyeBrain has further increased its lead over its competitors in the field of clinical functional markers," said Serge Kinkingnehun, CEO of EyeBrain. "Thanks to our unique eye-tracking platforms for medical applications, we are able to offer brain function markers which can help in the early diagnosis and monitoring of many conditions."

About EyeBrain
EyeBrain is developing brain function markers for neurological and psychiatric diseases utilizing devices based on eye motricity. They make it possible to test specific regions of the brain by recording and analyzing eye movements using very sophisticated algorithms developed by the company. The devices developed by EyeBrain have filled a void in the devices used in neurology; they complete a standard clinical examination within 20 minutes and at a lower cost than imaging techniques (MRI, scanners). They are also non-invasive relative to other types of examination in standard use (lumbar punctures, blood tests).

The Mobile EyeBrain Tracker (Mobile EBT) comes as a complete package that includes an eye-tracker, a chin rest, two screens and a computer, together with stimulation and analysis software. When used routinely in hospital, it already provides the doctor with information for the early characterization of Parkinsonian syndromes (AMS, PSP, CBD, etc.) and for monitoring multiple sclerosis. The EBT is the only device of this type to have obtained CE marking, while EyeBrain also has ISO 9001 and ISO 13485 certification. Eye motricity testing (eye tracking) is paid for by the French social security system.

EyeBrain, which was founded in 2008, is based in the Paris suburb of Ivry-sur-Seine and currently employs 12 people. The company raised EUR 1.2 million from CapDecisif Management and G1JIDF in an initial funding round in 2009 and EUR 3.3 million from Octalfa, Sudinnova and CM-CIC Capital Innovation in a second round in 2012. EyeBrain generates revenues from the sale of its tracker device. It is engaged in collaborations with the French National Institute of Health and Medical Research (Inserm), the French National Scientific Research Center (CNRS), the Paris Public Hospital Authority (AP-HP) and the University of Paris-Descartes. EyeBrain also has premises within the Brain and Spinal Cord Institute of the Pitie-Salpetriere hospital in Paris, which is a world-class research center.

1. M. P. Bucci, N. Nassibi, C.-L. Gerard, E. Bui-Quoc and M. Seassau, 'Immaturity of the oculomotor saccade and vergence interaction in dyslexic children: evidence from a reading and visual search study', PLoS ONE, vol. 7, no 3, p. e33458, 2012.

Most Popular Now

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...

Almost All Leading AI Chatbots Show Sign…

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas...

Bayer Acquires HiDoc Technologies and Ca…

Bayer is today announcing that it plans to acquire HiDoc Technologies GmbH in the first quarter of 2025 and to start commercialization of the digital health application, Cara Care®. Cara...

AI-Based Chatbot Created for Bioimage An…

Scientists from Universidad Carlos III de Madrid (UC3M), together with a research team from Ericsson and the KTH Royal Institute of Technology in Sweden, have developed an artificial intelligence-based software...