Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships

Rongtao Jiang, Nianming Zuo, Judith M. Ford, Shile Qi, Dongmei Zhi, Chuanjun Zhuo, Yong Xu, Zening Fu, Juan Bustillo, Jessica A. Turner, Vince D. Calhoun, Jing Sui

Research output: Contribution to journalArticle

Abstract

Although both resting and task-induced functional connectivity (FC) have been used to characterize the human brain and cognitive abilities, the potential of task-induced FCs in individualized prediction for out-of-scanner cognitive traits remains largely unexplored. A recent study Greene et al. (2018) predicted the fluid intelligence scores using FCs derived from rest and multiple task conditions, suggesting that task-induced brain state manipulation improved prediction of individual traits. Here, using a large dataset incorporating fMRI data from rest and 7 distinct task conditions, we replicated the original study by employing a different machine learning approach, and applying the method to predict two reading comprehension-related cognitive measures. Consistent with their findings, we found that task-based machine learning models often outperformed rest-based models. We also observed that combining multi-task fMRI improved prediction performance, yet, integrating the more fMRI conditions can not necessarily ensure better predictions. Compared with rest, the predictive FCs derived from language and working memory tasks were highlighted with more predictive power in predominantly default mode and frontoparietal networks. Moreover, prediction models demonstrated high stability to be generalizable across distinct cognitive states. Together, this replication study highlights the benefit of using task-based FCs to reveal brain-behavior relationships, which may confer more predictive power and promote the detection of individual differences of connectivity patterns underlying relevant cognitive traits, providing strong evidence for the validity and robustness of the original findings.

Original languageEnglish (US)
Article number116370
JournalNeuroImage
Volume207
DOIs
StatePublished - Feb 15 2020

Keywords

  • Cognitive demand
  • Functional connectivity
  • Individualized prediction
  • Reading comprehension
  • Task state

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Fingerprint Dive into the research topics of 'Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships'. Together they form a unique fingerprint.

  • Cite this

    Jiang, R., Zuo, N., Ford, J. M., Qi, S., Zhi, D., Zhuo, C., Xu, Y., Fu, Z., Bustillo, J., Turner, J. A., Calhoun, V. D., & Sui, J. (2020). Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage, 207, [116370]. https://doi.org/10.1016/j.neuroimage.2019.116370