Coherence between fMRI time-series distinguishes two spatial working memory networks

Clayton E. Curtis, Felice T. Sun, Lee M. Miller, Mark D'Esposito

Research output: Contribution to journalArticlepeer-review

Abstract

Widespread and distributed brain regions are thought to form networks that together support working memory. We recently demonstrated that different cortical areas maintain relatively different codes across a memory delay (Curtis et. al., J Neurosci, 2004; 24:3944-3952). The frontal eye fields (FEF), for example, were more active during the delay when the direction of the memory-guided saccade was known compared to when it was not known throughout the delay. Other areas showed the opposite pattern. Despite these task-dependent differences in regional activity, we could only assume but not address the functional interactions between the identified nodes of the putative network. Here, we use a bivariate technique, coherence, to formally characterize functional interactions between a seed region and other brain areas. We find that the type of representational codes that are being maintained in working memory biases frontal-parietal interactions. For example, coherence between FEF and other oculomotor areas was greater when a motor representation was an efficient strategy to bridge the delay period. However, coherence between the FEF and higher-order heteromodal areas, e.g., dorsolateral prefrontal cortex, was greater when a sensory representation must be maintained in working memory.

Original languageEnglish (US)
Pages (from-to)177-183
Number of pages7
JournalNeuroImage
Volume26
Issue number1
DOIs
StatePublished - May 15 2005

Keywords

  • Coherence
  • Delayed response
  • Functional connectivity
  • Motor control
  • Network
  • Oculomotor
  • Spatial working memory
  • fMRI

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Fingerprint Dive into the research topics of 'Coherence between fMRI time-series distinguishes two spatial working memory networks'. Together they form a unique fingerprint.

Cite this