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Task-induced activation transmitted by structural connectivity is associated with behavioral performance.

Tianyi Yan1, Tiantian Liu1, Jing Ai1

  • 1School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.

Brain Structure & Function
|March 20, 2021
PubMed
Summary
This summary is machine-generated.

Brain structure, specifically structural connectivity (SC), can predict brain activity during cognitive tasks. The default mode network (DMN) is crucial for this prediction and relates to better task performance.

Keywords:
Default mode networkPredictive performanceStructural connectivityTask loadTask-functional magnetic resonance imaging

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Brain structure, particularly structural connectivity (SC), is believed to determine regional brain function.
  • Cortical areas with distinct functions exhibit unique SC patterns.

Purpose of the Study:

  • To investigate if SC can predict cortical activation responses during cognitive tasks.
  • To explore the relationship between SC-based prediction accuracy, task load, and behavioral performance.
  • To determine the role of specific functional networks, like the default mode network (DMN), in this relationship.

Main Methods:

  • Utilized SC data from diffusion tensor imaging (DTI) of 100 healthy adults from the Human Connectome Project (HCP).
  • Predicted cortical activation responses for various cognitive tasks using SC data.
  • Analyzed the correlation between predictive performance, task load (relational reasoning, N-back working memory), and behavioral outcomes.

Main Results:

  • SC successfully predicted cortical activation responses, with performance varying across tasks.
  • Predictive performance correlated with task load and was positively associated with behavioral performance.
  • The default mode network (DMN) showed a dominant role in both activation prediction and behavioral performance.

Conclusions:

  • Structural connectivity is a feasible tool for estimating cognitive task-evoked brain activations.
  • Findings provide strong evidence for the relevance of brain structure to function.
  • Individual differences in task engagement may influence the accuracy of predicted activation patterns.