Title:
BOLD Signal Changes in Resting State Networks are Related to Performance on a Vigilance Task
BOLD Signal Changes in Resting State Networks are Related to Performance on a Vigilance Task
Author(s)
Merritt, Mac
Advisor(s)
Keilholz, Dr. Shella
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Abstract
Purpose and Background: Recent research has shown that spatially separated brain regions often display functional synchrony that relates
to brain state and human performance. Two important anti-correlated functional networks that are seen with resting state functional magnetic
resonance imaging (fMRI) are the default mode network (DMN) and the task positive network (TPN). Analytically defining these two
networks to better understand their behavior may have a critical impact on understanding higher level function and human performance.
Methods: 17 participants were scanned using fMRI in two different states: while performing the psychomotor vigilance task (PVT) and while in
resting state. Using seed based correlation defined networks, the behavior of the TPN and DMN were tested for dynamic behavior after the onset
of the task and the shifts in the magnitude of the signal in each network was compared to reaction time on the PVT using a linear regression.
Results and conclusion: The signal in each network changed significantly in response to the task (TPN increased with a peak at 6 seconds,
DMN decreased with a peak at 12 seconds). The magnitude of the increase in the signal within the TPN was significantly related
to response time on the PVT. This study validates a network generation technique that can be used in future studies to further investigate
the behavior of functional networks, and it shows a relationship between shifts within the TPN and behavior on this vigilance task.
Sponsor
Office of Student Media; Undergraduate Research Opportunities Program; Georgia Tech Library.
Date Issued
2013
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Text
Resource Subtype
Article