Abstract #1192

Phase of quasi-periodic patterns in the brain predicts performance on psychomotor vigilance task in humans

Anzar Abbas¹, Waqas Majeed², Garth Thompson³, and Shella Keilholz⁴

¹Neuroscience Program, Emory University, Atlanta, GA, United States, ²School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan, ³Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, ⁴Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States

Functional organization of brain networks plays an important role in behavior. Analysis of the dynamics of two functional networks – the default mode (DMN) and task positive (TPN) networks – has shown a dependency of task performance on relative network activation. Fluctuations between these two networks have been seen to occur in humans in a continuous, quasi-periodic fashion. However, the nature of these quasi-periodic patterns (QPPs) and their effect on behavior is not well understood. We show that QPPs do not differ between resting state and task-based scans and that the phase of these QPPs can serve as predictors of performance on the psychomotor vigilance task (PVT).

This abstract and the presentation materials are available to members only; a login is required.

Join Here