Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity.

Area of Science:

• Neuroscience
• Cognitive Neuroscience
• Brain Imaging

Background:

• Functional connectivity (FC) patterns from functional magnetic resonance imaging (fMRI) are crucial for understanding the neural basis of behavior.
• Task-based FC has been suggested to correlate better with individual differences in behavior than resting-state FC.
• However, the consistency and generalizability of this advantage across different task conditions require further exploration.

Purpose of the Study:

• To investigate whether the improved behavioral prediction of task-based FC is attributable to task-induced brain activity changes.
• To compare the behavioral prediction performance of FC derived from task model fits and residuals against resting-state FC.
• To explore the role of task design in eliciting behaviorally relevant brain activation and FC patterns.

Main Methods:

• Utilized resting-state fMRI and three task-based fMRI datasets from the Adolescent Brain Cognitive Development Study (ABCD).
• Decomposed task fMRI time courses into task model fits and residuals, calculating their respective FC.
• Compared the behavioral prediction power of these FC estimates, original task-based FC, and resting-state FC using general cognitive ability and task-specific performance measures.

Main Results:

• FC derived from the task model fit significantly outperformed FC from task residuals and resting-state FC in predicting general cognitive ability and task performance.
• The superior predictive power of task model fit FC was content-specific, observed only when task cognitive constructs matched the behavior of interest.
• Task model parameters (beta estimates) were as or more predictive of behavioral differences than all FC measures.

Conclusions:

• The enhancement in behavioral prediction attributed to task-based FC is primarily driven by patterns associated with the task design itself.
• Task design plays a critical role in eliciting brain activation and FC patterns that are meaningful for behavior.
• These findings underscore the importance of carefully designed fMRI tasks for neuroscientific research on behavior.