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Related Experiment Video

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Effective connectivity during working memory and resting states: A DCM study.

Kyesam Jung1, Karl J Friston2, Chongwon Pae3

  • 1Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, South Korea; Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, South Korea.

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Task-dependent brain connectivity changes during working memory tasks influence resting-state effective connectivity. Greater changes in context-sensitive coupling correlate with faster reaction times, revealing how intrinsic brain networks predict cognitive performance.

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Functional Neuroimaging

Background:

  • The relationship between resting-state and task-related brain activity is well-studied, but the link between intrinsic and dynamic effective connectivity remains unclear.
  • Understanding how task demands alter brain network interactions is crucial for explaining individual differences in cognitive performance.

Purpose of the Study:

  • To investigate the relationship between intrinsic resting-state effective connectivity and task-induced effective connectivity during an N-back working memory task.
  • To identify individual differences in task-related connectivity patterns and their association with behavioral measures like reaction time.

Main Methods:

  • Utilized stochastic dynamic causal modeling (DCM) on 7 Tesla fMRI data from 24 participants.
  • Analyzed both resting-state and N-back task data to model effective connectivity among engaged brain regions.
  • Examined correlations between intrinsic connectivity (Arest), task-modulated connectivity (Atask), and task-related connectivity changes (Btask).

Main Results:

  • Found a strong subject-wise correlation between resting-state (Arest) and task-state (Atask) effective connectivity.
  • Observed significant individual clustering based on task-related connectivity changes (Btask), which differed markedly from resting-state patterns.
  • Identified parietal-to-frontal lobe connections as key areas for inter-individual differences in Btask.
  • Demonstrated a positive correlation between the similarity of Btask and Arest in parietal-frontal connections and faster 2-back reaction times.

Conclusions:

  • Task-dependent effective connectivity dynamically modulates intrinsic resting-state networks.
  • The degree of change in context-sensitive coupling from rest to task predicts cognitive processing speed.
  • These findings elucidate how intrinsic brain connectivity, when adapted to task demands, underlies individual differences in cognitive function.