Dynamic Brain Networks and Decision-Making Processes
Project Leader(s)
UC Santa Barbara
Research Focus Area
Dynamic network structure analysis of brain oscillations when experimental subjects perform correctly or incorrectly on a perceptual task. Each colored area represents a community of brain oscillations that are more correlated within the community than between that community and other communities. The color assignments and community numbering are arbitrary. The neuro-oscillatory network structure for correct responses shows more communities with greater spatial distribution for time points after the target onset. This effect is greatest in posterior regions and begins at ~300ms.
The objective of this proposal is to examine dynamic oscillatory network states associated with fast and accurate responses to perceptual decision tasks. We will accomplish this with measurements of behavior and neural signals using computer-based testing, electroencephalography (EEG), and magnetoencephalography (MEG) equipment. This approach allows ongoing network states to be correlated with behavioral measures and decision-making processes as they unfold over time in the range of milliseconds to seconds.
Date Completed
