neural correlates of cognitive flexibility
We aim to specify event-related responses that can help improving diagnostic procedures by making them more reliable and easier to use. In our recent study, we developed and implemented a task to measure divided attention levels. So far, we have been able to identify several differences in event-related responses between autistic and typically developing individuals. You can find out more about the science behind the KoTA tools in the research section.
There has been increased interest recently in scientific research that specifies neural activity underlying observed behavioural differences. In the area of autism research encouraging new studies have made attempts to determine neurocognitive markers of this condition, by implementing machine learning algorithms to classify individuals as autistic. In time, this should result in improved diagnostics and treatment methods.
A computerised task is developed to measure how well attention is divided among different objects and their features.
During the task execution, brain activity is measured and individual responses to target stimuli are specified and recorded.
Recorded signals are compared to detect possible differences in how targets are processed in different groups.