All articles tagged with #eye movements
A study shows that eye movements can reveal hidden memories even when people deny remembering, outperforming verbal reports, and offering a new method to assess memory in infants, non-verbal patients, and those with neurological conditions by tracking gaze during video viewing.
A study suggests that changes in eye movement patterns could serve as a non-invasive, inexpensive way to detect early signs of memory loss and cognitive decline, potentially aiding in early dementia diagnosis.
A study published in PNAS demonstrates that naturalistic eye movement patterns can serve as sensitive markers for detecting subtle signs of cognitive and memory decline, with specific gaze behaviors correlating with different levels of memory function across various participant groups.
Researchers have identified slower involuntary eye movements, known as saccades, as an early sign of dementia, particularly Alzheimer's disease. These movements, which are slower and less accurate in affected individuals, can potentially be detected using earpiece microphones, offering a more accessible alternative to traditional eye-tracking equipment. This method, presented at the Acoustical Society of America meeting, could facilitate early diagnosis and monitoring of dementia by capturing eardrum vibrations caused by eye movements.
Researchers from Dartmouth University and École de Technologie Supérieure have developed a 'hearable' device that can detect early signs of Alzheimer's disease by listening to vibrations in the eardrums caused by eye movements, specifically saccades. This innovative approach could provide a more accessible and affordable method for early diagnosis compared to traditional eye-tracking equipment. Early detection is crucial for managing Alzheimer's, which affects millions and is expected to increase significantly by 2050.
A study by the University of Münster reveals that the brain's mechanism for stabilizing vision during rapid eye movements fails with non-rigid motions like rotating vortices, leading to visual instability. This challenges existing models of visual processing, showing that smooth and rapid eye movements are processed through different neural pathways. These findings could enhance research into cognitive and neurodegenerative disorders by providing insights into visual compensation mechanisms.
A study from the University of Rochester reveals that blinking not only keeps our eyes moist but also aids in processing visual information by providing the brain with information about the overall big picture of a visual scene. When we blink, the movement of the eyelid alters light patterns, creating a different kind of visual signal for the brain. This finding reinforces the idea that our vision is a combination of sensory input and motor activity, and adds to the growing body of evidence showing that the visual system is sensitive to temporal changes and uses them to represent spatial information.
A study reveals that facial features such as eyebrows, mouth, face shape, and jawline can convey hidden details of a person's personality. Raised eyebrows are associated with trustworthiness and warmth, while down-turned mouths are perceived as cold and untrustworthy. Facial width-to-height ratio is linked to dominance and aggression, and eye movements can indicate optimism or neuroticism. These findings suggest that our faces play a significant role in shaping how we are perceived by others.
Researchers at Duke University have discovered that the ear emits subtle sounds in response to eye movements, allowing them to determine where someone is looking. These ear sounds, potentially caused by muscle contractions or hair cell activations, challenge existing beliefs about ear function and may help synchronize sight and sound perception. The findings could lead to new clinical hearing tests and a deeper understanding of sensory integration.
Eye movements during a virtual reality memory game can help identify children with attention-deficit hyperactivity disorder (ADHD), according to a study in Finland. The study used a virtual reality task called EPELI to assess attention and executive function deficits in children with ADHD. The study found that children with ADHD exhibited decreased task efficiency, struggled with virtual navigation, and had shorter and less intense eye movements compared to children without ADHD. Using eye movement data, a machine learning algorithm successfully classified 84% of children with ADHD and 78% of the control group. The findings suggest that eye movements recorded in a naturalistic setting could be a promising behavioral marker for ADHD assessment.
Researchers at Weill Cornell Medicine have discovered that ocular drift, a subtle and seemingly random type of eye movement, can be influenced by prior knowledge of the expected visual target, suggesting a surprising level of cognitive control over the eyes. The study adds to the scientific understanding of how vision is controlled and directed by cognitive processes. The findings could lead to better insights into the neuroscience of vision and visual disorders, which may sometimes have a motor component too.