Voxel-based lesion-parameter mapping: Identifying the neural correlates of a computational model of word production

Gary S. Dell, Myrna F. Schwartz, Nazbanou Nozari, Olufunsho Faseyitan, H. Branch Coslett

Research output: Contribution to journalArticlepeer-review

Abstract

The dual-route interactive two-step model explains the variation in the error patterns of aphasic speakers in picture naming, and word and nonword repetition tasks. The model has three parameters that can vary across individuals: the efficiency of the connections between semantic and lexical representations (s-weight), between lexical and phonological representations (p-weight), and between representations of auditory input and phonological representations (nl-weight). We determined these parameter values in 103 participants with chronic aphasia from left hemisphere stroke whose lesion locations had been determined. Then, using voxel-based lesion-parameter mapping, we mapped the parameters onto the brain, thus determining the neural correlates of the model's mechanisms. The maps and the behavioral findings supported the model's central claim that word repetition is affected by both the p and nl parameters. We propose that these two parameters constitute the model's analogue of the "dorsal stream" component of neurocognitive models of language processing.

Original languageEnglish (US)
Pages (from-to)380-396
Number of pages17
JournalCognition
Volume128
Issue number3
DOIs
StatePublished - Sep 2013

Keywords

  • Aphasia
  • Computational models
  • Language production
  • Voxel-based lesion parameter mapping

ASJC Scopus subject areas

  • Language and Linguistics
  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Linguistics and Language
  • Cognitive Neuroscience

Fingerprint

Dive into the research topics of 'Voxel-based lesion-parameter mapping: Identifying the neural correlates of a computational model of word production'. Together they form a unique fingerprint.

Cite this