None listed
Conditions
Brief summary
Eye movements have been used for decades to interrogate neurological function, and we have an extensive understanding of the consequences of a broad range of neurological disorders on eye movements. BrainEye is a smartphone application that uses AI, machine learning, and cloud based technology to record and anlayse the location of the eye in space over time, with a view to providing a snapshot of neurological function in an individual over time. In patients diagnosed with concussion or a mild traumatic brain injury, the BrainEye application will be used to record and measure smooth pursuit eye movements (SMP) and the pupillary light reflex (PLR) as an indication of brain function. Data will be collected at 4 timepoints: firstly within 24 hours of a post concussive event within the emergency department (ED) by an ED occupational therapist, and then 2, 7 and 30 days post event by the individual in his/her own home. Data will include measures of latency, velocity, amplitude and accuracy for both SMP and PLR. From these data BrainEye will determine a concussion algorithm that sensitively identifies and tracks recovery from concussion. We hypothesise that this algorithm will sensitively identify an individual with (a diagnosed) concussion and may assist in monitoring recovery .
Interventions
Eye movements have been used for decades to interrogate neurological function, and we have an extensive understanding of the consequences of a broad range of neurological disorders on eye movements. BrainEye is a smartphone application that uses artificial intelligence (AI), machine learning, and cloud based technology to record and anlayse the location of the eye in space over time, with a view to providing a snapshot of neurological function in an individual over time.
In patients diagnosed
Eye movements have been used for decades to interrogate neurological function, and we have an extensive understanding of the consequences of a broad range of neurological disorders on eye movements. BrainEye is a smartphone application that uses artificial intelligence (AI), machine learning, and cloud based technology to record and anlayse the location of the eye in space over time, with a view to providing a snapshot of neurological function in an individual over time. In patients diagnosed with concussion or a mild traumatic brain injury, the BrainEye application will be used to record and measure (1) smooth pursuit eye movements (SMP) where a patient follows, with their eyes, a dot moving in a circle around the screen of their smartphone, and (2) the pupillary light reflex (PLR) where a patient looks at the back of the smartphone and the phone's own flash appears for 3 seconds to illuminate the eyes. These tests will take less than 5 minutes, including re-reading on-screen instructions if required. Data will be collected at 4 timepoints: firstly within 24 hours of a post concussive event within the emergency department (ED) by an ED occupational therapist, and then 2, 7 and 30 days post event by the individual in his/her own home. Patients will be provided with SMS reminders to use the BrainEye application on days 2, 7 and 30. Data will include measures of latency, velocity, amplitude and accuracy for SMP and PLR. From these data BrainEye will determine a concussion algorithm that sensitively identifies and tracks recovery from concussion.
Sponsors
Neuro Optica Pty Ltd
Study design
Allocation
Non-randomised trial
Intervention model
Single group
Primary purpose
Diagnosis
Masking
Open (masking not used)
Eligibility
Sex/Gender
All
Age
14 Years to 60 Years
Healthy volunteers
No
Inclusion criteria
• 200 individuals presenting to Gold coast University Hospital emergency Department (GCUH ED) within 24hours of a concussive event • Age range of 14-60 years old • Primary diagnosis of mild traumatic brain injury (mTBI) and related diagnostic groups as coded by Gold Coast Hospital Health Service Health Analytic Data including coded diagnostic groups of: • Minor Head Injury • Head Injury • Concussion injury of cerebrum • Concussion with loss of consciousness • Concussion with no loss of consciousness • Concussion with less than 1-hour loss of consciousness • Seen by the ED Occupational Therapist for Diagnostic Interview of mild traumatic brain injury and clinical work-up with evidence of a clear ability to demonstrate new learning and recall using the Abbreviated Westmead Post Traumatic Amnesia Scale (aWPTAS) • Score of 15/15 for at least one hour on the Glasgow Coma Scale (GCS) • Access to smartphone capabilities for application use
Exclusion criteria
• Co-occurrence of any other neurological condition • Unable to communicate adequately based on informal clinical judgment by the ED Occupational Therapist regarding the participant’s ability to follow instructions needed to perform the test and understand the consent process • Subjectively unable to see a 3mm object at a distance of 10 cm with one or both eyes, without eye-glasses • Planned for an inpatient admission for mTBI symptom management from ED • CT Brain or MRI that demonstrates intracranial pathology or injury e.g., skull fracture, extra dural haematoma (including suspected), orbital floor injuries/blow out • Concurrent injuries receiving an inpatient admission e.g., motor vehicle accident or sporting injury requiring surgery • Admittance to an accessory site constructed in periods of medical response e.g., Mobile ED services provided at Schoolies formal events • Residing in a Residential Aged Care Facility or supported living facility e.g., NDIS supported accommodation, group home • Residing outside of GCHHS catchment area • No access to smartphone capabilities for application use
Outcome results
None listed