Posts tagged eye movements
Articles and news from the latest research reports.
Men and women explore the visual world differently
Everyone knows that men and women tend to hold different views on certain things. However, new research by scientists from the University of Bristol and published in PLoS ONE indicates that this may literally be the case.
Researchers examined where men and women looked while viewing still images from films and pieces of art. They found that while women made fewer eye movements than men, those they did make were longer and to more varied locations.These differences were largest when viewing images of people. With photos of heterosexual couples, both men and women preferred looking at the female figure rather than the male one. However, this preference was even stronger for women.
While men were only interested in the faces of the two figures, women’s eyes were also drawn to the rest of the bodies - in particular that of the female figure.
Felix Mercer Moss, PhD student in the Department of Computer Science who led the study, said: “The study represents the most compelling evidence yet that, despite occupying the same world, the viewpoints of men and women can, at times, be very different.
“Our findings have important implications for both past and future eye movement research together with future technological applications.”
To Get the Best Look at a Person’s Face, Look Just Below the Eyes
They say that the eyes are the windows to the soul. However, to get a real idea of what a person is up to, according to UC Santa Barbara researchers Miguel Eckstein and Matt Peterson, the best place to check is right below the eyes. Their findings are published in the Proceedings of the National Academy of Science.
"It’s pretty fast, it’s effortless –– we’re not really aware of what we’re doing," said Miguel Eckstein, professor of psychology in the Department of Psychological & Brain Sciences. Using an eye tracker and more than 100 photos of faces and participants, Eckstein and graduate research assistant Peterson followed the gaze of the experiment’s participants to determine where they look in the first crucial moment of identifying a person’s identity, gender, and emotional state.
"For the majority of people, the first place we look at is somewhere in the middle, just below the eyes," Eckstein said. One possible reason could be that we are trained from youth to look there, because it’s polite in some cultures. Or, because it allows us to figure out where the person’s attention is focused.
However, Peterson and Eckstein hypothesize that, despite the ever-so-brief –– 250 millisecond –– glance, the relatively featureless point of focus, and the fact that we’re usually unaware that we’re doing it, the brain is actually using sophisticated computations to plan an eye movement that ensures the highest accuracy in tasks that are evolutionarily important in determining flight, fight, or love at first sight.
Why older people struggle to read fine print
Psychologists from the University of Leicester have carried out unique eye tests to examine reading styles in young and old people – and discovered for the first time that the way we read words changes as we grow older.
The team from the School of Psychology used an innovative method of digitally manipulating text combined with precise measures of readers’ eye movements. This provides novel insights into how young and older adults use different visual cues during reading.
Their results have been published in the journal Psychology and Aging.
The researchers conducted experiments that used very precise measures of readers’ eye movements to assess how well they read lines of text that had been digitally manipulated to enhance the salience of different visual information. For instance, sometimes the text was blurred and other times the features of the individual letters were sharply defined.
The results showed that whereas young adults (18-30 years) found it easiest to read lines of text when the fine visual detail was present, this was more difficult for older adults (65+years), who found it easier to read more blurred text. These findings support the view that older adults use a different reading strategy from younger adults and that they rely more than young adults on holistic cues to the identities of words, such as word shape.
The research makes an important contribution to understanding why older people have difficulty in reading. The findings will promote further work to more fully understand this difficulty and already points to ways in which it can be combatted.
Eye Movements and the Search for Biomarkers for Schizophrenia
There is a long history of research on impaired eye movements associated with schizophrenia. Using a series of simple viewing tests, researchers of a new paper in Biological Psychiatry explored the ability of these eye movement tests to distinguish people with and without the diagnosis of schizophrenia.
Using their complete dataset, they were able to develop a model that could discriminate all schizophrenia cases from healthy control subjects with an impressive 98.3% accuracy.
Drs. Philip Benson and David St. Clair, lead authors on the paper, agreed that their findings were remarkable: “It has been known for over a hundred years that individuals with psychotic illnesses have a variety of eye movement abnormalities, but until our study, using a novel battery of tests, no one thought the abnormalities were sensitive enough to be used as potential clinical diagnostic biomarkers.”
Their battery of tests included smooth pursuit, free-viewing, and gaze fixation tasks. In smooth pursuit, people with schizophrenia have well-documented deficits in the ability to track slow-moving objects smoothly with their eyes. Their eye movements tend to fall behind the moving object and then catch-up with the moving object using a rapid eye movement, called a saccade.. A picture is displayed in the free-viewing test, and where most individuals follow a typical pattern with their gaze as they scan the picture, those with schizophrenia follow an abnormal pattern. In a fixation task, the instruction is to keep a steady gaze on a single unmoving target, which tends to be difficult for individuals with schizophrenia.
As expected, the researchers found that the performance of individuals with schizophrenia was abnormal compared to the healthy volunteer group on each of the eye tests. At right is an example of the differences, with the eye tracking of a schizophrenia case in red and a healthy control in blue.
The researchers then used several methods to model the data. The accuracy of each of the created algorithms was then tested by using eye test data from another group of cases and controls. Combining all the data, one of the models achieved 98.3% accuracy.
"It is encouraging to see the high sensitivity of this model for the diagnosis of schizophrenia. It will be interesting to see the extent to which this approach enables clinical investigators to distinguish people with schizophrenia from individuals with other psychiatric disorders," commented Dr. John Krystal, Editor of Biological Psychiatry.
Benson and St Clair have already started that work, stating, “We now have exciting unpublished data showing that patterns of eye movement abnormalities are specific to different psychiatric subgroups, another key requirement for diagnostic biomarkers. The next thing we want to know is when the abnormalities are first detectable and can they be used as disease markers for early intervention studies in major mental illness?”
"We are also keen to explore how best our findings can be developed for use in routine clinical practice," they added. Typical neuropsychological assessments are time-consuming, expensive, and require highly trained individuals to administer. In comparison, these eye tests are simple, cheap, and take only minutes to conduct. This means that a predictive model with such precision could potentially be incorporated in clinics and hospitals to aid physicians by augmenting traditional symptom-based diagnostic criteria.
(Source: alphagalileo.org)
Attention, Learning, and the Value of Information
Despite many studies on selective attention, fundamental questions remain about its nature and neural mechanisms. Here I draw from the animal and machine learning fields that describe attention as a mechanism for active learning and uncertainty reduction and explore the implications of this view for understanding visual attention and eye movement control. I propose that a closer integration of these different views has the potential greatly to expand our understanding of oculomotor control and our ability to use this system as a window into high level but poorly understood cognitive functions, including the capacity for curiosity and exploration and for inferring internal models of the external world.
Abnormal Involuntary Eye Movements in the “Lazy Eye” Disease Amblyopia Linked to Changes in Subcortical Regions of the Brain
The neural mechanism underlying amblyopia, also called “lazy eye” is still not completely clear. A new study now reports abnormal eye movements of the lazy eye, which suggests that disturbed functioning of eye movement coordination between both eyes and not primarily the dysfunction of the visual cortex may be a cause of amblyopia (Xue-feng Shi et al.).
Little is known about oculomotor function in amblyopia, or “lazy eye,” despite the special role of eye movements in vision. A group of scientists has discovered that abnormal visual processing and circuitry in the brain have an impact on fixational saccades (FSs), involuntary eye movements that occur during fixation and are important for the maintenance of vision. The results, which raise the question of whether the alterations in FS are the cause or the effect of amblyopia and have implications for amblyopia treatment, are available online in advance of publication in the November issue of Restorative Neurology and Neuroscience.
“Although FSs are of great functional significance in neural coding, visual perception, and visual task execution, their behavioral characteristics in visual and neurological disease have been rarely studied,” says lead investigator Xue-Feng F. Shi, MD, PhD, of the Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, College of Clinical Ophthalmology, Tianjin Medical University, and the Department of Pediatric Ophthalmology and Strabismus, Tianjin Eye Hospital, Tianjin, China. “We carried out quantitative and detailed analysis of fixational saccades in amblyopia for the first time.”
The eyes may be windows into the soul, but following their movement also could allow doctors to make quick, accurate diagnoses for disorders like autism, schizophrenia, or attention deficit hyperactivity disorder, various research projects suggest.
Eye tracking, which records where subjects focus when watching visual displays, could diagnose brain disorders more accurately than subjective questionnaires or medical examinations do, researchers say. Exams are expensive and time-consuming, and subjective tests have been known to wrongly identify healthy people or misdiagnose disorders.
To make sense of all that people see, the brain filters huge amounts of visual information, fills in gaps and focuses on certain objects. That complex task uses many mental circuits, so differences in what people choose to look at ― differences so subtle that only a computer can spot them ― could provide unprecedented insight into common neurological problems.
Researchers use characteristic differences in eye movements to identify patients with deficits in neurological function.
Observing patients’ eye movements may hold clues about neurological functioning. In a study published last month (August 25) in the Journal of Neurology, scientists show that subtle differences in eye movement patterns can be utilized to identify patients with Parkinson’s, fetal alcohol syndrome, or attention deficit disorder, providing hope for a quick and noninvasive strategy to aid in diagnosing these, and possibly other, neurological diseases.
“I am very impressed with the use of this eye tracking as a potential behavioral biomarker,” said Edward Riley, who studies fetal alcohol syndrome at San Diego State University, but did not participate in the research. The strategy could one day be used to rapidly screen children at risk for behavioral problems, he added, but whose mild symptoms may cause their issues to be overlooked.
Studying Everyday Eye Movements Could Aid in Diagnosis of Neurological Disorders
USC-led team has designed a low-cost, easily-deployed method for detecting ADHD, Parkinson’s, and Fetal Alcohol Spectrum Disorder
Researchers at the University of Southern California have devised a method for detecting certain neurological disorders through the study of eye movements.
In a study published today in the Journal of Neurology, researchers claim that because Attention Deficit Hyperactivity Disorder (ADHD), Fetal Alcohol Spectrum Disorder (FASD) and Parkinson’s Disease (PD) each involve ocular control and attention dysfunctions, they can be easily identified through an evaluation of how patients move their eyes while they watch television.
“Natural attention and eye movement behavior – like a drop of saliva – contains a biometric signature of an individual and her/his state of brain function or dysfunction,” the article states. “Such individual signatures, and especially potential biomarkers of particular neurological disorders which they may contain, however, have not yet been successfully decoded.”
Typical methods of detection—clinical evaluation, structured behavioral tasks and neuroimaging—are costly, labor-intensive and limited by a patient’s ability to understand and comply with instructions. To solve this problem, doctoral student Po-He Tseng and Professor Laurent Itti of the Department of Computer Science at the USC Viterbi School of Engineering, along with collaborators at Queen’s University in Canada, have devised a new screening method.
Participants in the study were simply instructed to “watch and enjoy” television clips for 20 minutes while their eye movements were recorded. Eye-tracking data was then combined with normative eye-tracking data and a computational model of visual attention to extract 224 quantitative features, allowing the team to use new machine learning techniques to identify critical features that differentiated patients from control subjects.
With eye movement data from 108 subjects, the team was able to identify older adults with Parkinson’s Disease with 89.6% accuracy, and children with either ADHD or FASD with 77.3% accuracy.
Providing new insights into which aspects of attention and gaze control are affected by specific disorders, the team’s method provides considerable promise as an easily-deployed, low-cost, high-throughput screening tool, especially for young children and elderly populations who may be less compliant to traditional tests.
“For the first time, we can actually decode a person’s neurological state from their everyday behavior, without having to subject them to difficult or time-consuming tests,” Itti said.
Eyes and Attention of Men and Women Meander in Distinctly Different Ways
Dr. Itti’s lab studied 34 participants as they watched videos of people being interviewed. Behind the interview subjects, within the video frame, pedestrians, bicycles and cars passed by — distractions included to pull attention away from the filmed conversation.
While participants watched and listened to the interview, another camera was pointed at participants’ eyes, recording the movement of their pupils as they glanced across the screen.
Researchers discovered the following:
• Men, when focused on the person being interviewed, parked their eyes on the speaker’s mouth. They tended to be most distracted by distinctive movement behind the interview subjects.
• By contrast, women shift their focus between the interview subject’s eyes and body. When they were distracted, it was typically by other people entering the video frame.