Parallel versus serial processing dependencies in the perisylvian speech network: A Granger analysis of intracranial EEG data

David W. Gow, Corey J. Keller, Emad Eskandar, Nate Meng, Sydney S. Cash

Research output: Contribution to journalArticle

20 Scopus citations


In this work, we apply Granger causality analysis to high spatiotemporal resolution intracranial EEG (iEEG) data to examine how different components of the left perisylvian language network interact during spoken language perception. The specific focus is on the characterization of serial versus parallel processing dependencies in the dominant hemisphere dorsal and ventral speech processing streams. Analysis of iEEG data from a large, 64-electrode grid implanted over the left perisylvian region in a single right-handed patient showed a consistent pattern of direct posterior superior temporal gyrus influence over sites distributed over the entire ventral pathway for words, non-words, and phonetically ambiguous items that could be interpreted either as words or non-words. For the phonetically ambiguous items, this pattern was overlayed by additional dependencies involving the inferior frontal gyrus, which influenced activation measured at electrodes located in both ventral and dorsal stream speech structures. Implications of these results for understanding the functional architecture of spoken language processing and interpreting the role of the posterior superior temporal gyrus in speech perception are discussed.

Original languageEnglish (US)
Pages (from-to)43-48
Number of pages6
JournalBrain and Language
Issue number1
StatePublished - Jul 1 2009
Externally publishedYes



  • Dual pathway model
  • Electrophysiology
  • Functional connectivity
  • Granger causality
  • Intracranial recording
  • Speech perception
  • Spoken word recognition
  • iEEG

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Language and Linguistics
  • Linguistics and Language
  • Cognitive Neuroscience
  • Speech and Hearing

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