Time-varying functional connectivity predicts fluctuations in sustained attention in a serial tapping task.
Dolly T Seeburger1, Nan Xu2, Marcus Ma3
1School of Psychology, Georgia Institute of Technology, Atlanta, GA, USA. dseeburger3@gatech.edu.
Understanding sustained attention requires examining brain network dynamics. This study reveals how the frontoparietal control network switches connectivity, differentiating focused "in-the-zone" states from "out-of-the-zone" periods.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Brain Network Dynamics
Background:
- Sustained attention mechanisms remain unclear.
- Attention fluctuates, suggesting dynamic brain network connectivity changes.
- Brain networks involved in internal and external attention allocation are key.
Purpose of the Study:
- Investigate how brain network activity varies with different levels of attentional focus.
- Identify network dynamics distinguishing "in-the-zone" (high focus) from "out-of-the-zone" (low focus) states.
- Explore the role of time-varying functional connectivity in sustained attention.
Main Methods:
- Participants performed a finger-tapping task.
- Defined "in-the-zone" by low reaction time variability and "out-of-the-zone" by the inverse.
- Utilized quasi-periodic pattern analysis for time-varying functional connectivity of low-frequency fluctuations.
Main Results:
- Default mode network (DMN) and task positive network (TPN) were more anti-correlated during "in-the-zone" states.
- Frontoparietal control network (FPCN) switching differentiated zone states.
- FPCN synchronized with DMN during "out-of-the-zone" and switched to DAN during "in-the-zone" states.
- Dorsal attention network (DAN) and DMN were desynchronized across states.
- Ventral attention network (VAN) synchronized more with DMN during "in-the-zone" states.
Conclusions:
- Time-varying functional connectivity across brain networks fluctuates with sustained attention.
- The FPCN's dynamic switching between DMN and DAN is crucial for attentional focus.
- Network interactions, particularly FPCN-DAN and FPCN-DMN, underlie attentional state changes.
More Related Videos
09:01A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
Published on: May 7, 2014
10:25Simultaneous Transcranial Alternating Current Stimulation and Functional Magnetic Resonance Imaging
Published on: June 5, 2017
