Ocular motor apraxia, Cogan type

This study tests whether advanced MRI scans that map the brain's structural and functional connections can better predict neurological recovery in coma patients after cardiac arrest than standard methods. Researchers will scan 263 adults who remain unconscious at least 72 hours a…

This study screens people with eye diseases to see if they can join other research studies at the National Eye Institute. No treatment is given. Participants undergo eye exams, blood tests, and other procedures to diagnose or evaluate their condition. The goal is simply to determ…

This study tests a special camera that takes super-detailed pictures of the back of the eye (the retina). The goal is to see if this technology can find eye diseases earlier than standard methods. Up to 1,000 people aged 12 and older, with or without eye disease, will have their …

This observational study tests whether a non-invasive headband called fNIRS can measure brain activity in healthy adults and in people with disorders of consciousness, such as coma, after severe brain injury. Participants wear the headband while receiving gentle touch, listening …

This study follows 2000 adults who are in a coma or have disorders of consciousness after serious brain injuries like stroke, cardiac arrest, or trauma. Researchers collect medical records and later interview survivors or their caregivers about physical and emotional recovery. No…

This study aims to learn more about eye diseases by observing and providing standard care to up to 1,000 people over 5 years. Participants receive regular eye exams, tests, and treatments as needed. The goal is to better understand how eye diseases progress and are inherited, not…

This study looks at how artificial intelligence (AI) can help emergency call operators quickly identify life-threatening situations like cardiac arrest, stroke, or severe breathing problems. Researchers will analyze millions of past emergency calls to train AI models to recognize…

This study uses a special PET scan to look at dopamine pathways in the brains of people who are in a coma after a severe head injury. Researchers will compare three groups: coma patients, patients who have recovered from coma, and healthy volunteers. The goal is to understand how…

This study tests whether artificial intelligence can create simple summaries of eye doctor notes that are easier for patients to understand. About 460 English-speaking adults receiving eye care will get either standard notes or notes plus an AI-generated plain language summary. P…

This study tracks 90 coma patients in intensive care to see if their body's natural daily rhythms (like sleep-wake cycles) return as they wake up. Researchers will measure behavior, eye movements, temperature, and urine biomarkers every few hours. The goal is to better understand…

This study tests a new 4D microscope-integrated OCT system for the first time in people during eye surgery. Researchers want to see if the system is easy to use, safe, and can clearly show eye structures. Five adults having eye surgery will take part. The goal is to improve imagi…

This study tests a new tool called PRECOM that uses brain wave signals to predict whether coma patients after cardiac arrest will wake up within three months. Researchers will enroll 100 adults in French ICUs and compare the tool's predictions to actual outcomes. The goal is to i…

This study gathers standard eye movement and pupil data from 200 healthy volunteers, children, and people with eye or brain conditions using a VR headset called neos™. The headset shows images and tracks where participants look, how their pupils react, and how their eyes move. Th…

This study tests a new, more comfortable eye camera (WiSLO) designed for children and adults. Researchers want to see if it takes better pictures and is less bothersome than current cameras. About 42 people with or without eye disease will have their eyes photographed with both t…