Task-dependent individual differences in prefrontal connectivity

Bharat B. Biswal, Dana A. Eldreth, Michael A. Motes, Bart Rypma

Research output: Contribution to journalArticle

32 Scopus citations

Abstract

Recent advances in neuroimaging have permitted testing of hypotheses regarding the neural bases of individual differences, but this burgeoning literature has been characterized by inconsistent results. To test the hypothesis that differences in task demands could contribute to between-study variability in brain-behavior relationships, we had participants perform 2 tasks that varied in the extent of cognitive involvement. We examined connectivity between brain regions during a low-demand vigilance task and a higher-demand digit-symbol visual search task using Granger causality analysis (GCA). Our results showed 1) Significant differences in numbers of frontoparietal connections between low-and high-demand tasks 2) that GCA can detect activity changes that correspond with task-demand changes, and 3) faster participants showed more vigilance-related activity than slower participants, but less visual-search activity. These results suggest that relatively low-demand cognitive performance depends on spontaneous bidirectionally fluctuating network activity, whereas high-demand performance depends on a limited, unidirectional network. The nature of brain-behavior relationships may vary depending on the extent of cognitive demand. High-demand network activity may reflect the extent to which individuals require top-down executive guidance of behavior for successful task performance. Low-demand network activity may reflect task-and performance monitoring that minimizes executive requirements for guidance of behavior.

Original languageEnglish (US)
Pages (from-to)2188-2197
Number of pages10
JournalCerebral Cortex
Volume20
Issue number9
DOIs
StatePublished - Sep 2010

Keywords

  • connectivity
  • functional imaging
  • individual differences
  • prefrontal cortex
  • processing speed

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

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