Brain network segregation and integration during an epoch-related working memory fMRI experiment
Peter Fransson1, Björn C Schiffler1, William Hedley Thompson1
1Department of Clinical Neuroscience, Karolinska Institute, Sweden.
Neuroimage
|May 20, 2018
Summary
Brain networks dynamically adjust integration and segregation during working memory tasks. Higher cognitive load (2-back) increases integration, while specific subnetworks show distinct patterns, impacting task performance.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Network Science
Background:
- Previous brain subnetwork research focused on broad changes over time.
- Understanding dynamic subnetwork interactions during cognitive tasks is crucial.
Purpose of the Study:
- To investigate high-temporal-resolution changes in brain subnetwork segregation and integration during working memory tasks.
- To explore the relationship between subnetwork dynamics and cognitive performance.
Main Methods:
- Applied time-varying functional connectivity and temporal network theory.
- Analyzed functional magnetic resonance imaging (fMRI) data from working memory tasks (2-back, 0-back, baseline) and resting-state.
- Utilized a drift diffusion model to correlate network dynamics with response times.
Main Results:
- Cognitively demanding tasks (2-back) showed increased inter-subnetwork integration compared to less demanding tasks (0-back).
- Visual, sensorimotor, and fronto-parietal subnetworks exhibited unique temporal segregation/integration profiles.
- Baseline periods revealed increased segregation in visual, fronto-parietal, cingulo-opercular, and dorsal attention subnetworks.
- Frontoparietal integration correlated with faster 2-back response times, while visual segregation correlated with slower times.
Conclusions:
- High-temporal-resolution analysis reveals dynamic subnetwork segregation and integration during cognitive tasks.
- Task-specific subnetwork dynamics are critical for efficient working memory performance.
- Minute alterations in subnetwork integration are significant for task success.
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