Functional magnetic resonance imaging activation during unscripted discourse in people with poststroke aphasia

Thomas C. Maloney, Aimee Dietz, Jennifer Vannest, Krista Wilkinson, Jerzy P. Szaflarski, Cassandra Stall, Chitrali R. Mamlekar

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Purpose: The purpose of this project was to determine the feasibility of employing a functional magnetic resonance imaging (fMRI) task that captured activation associated with overt, unscripted (or free) discourse of people with aphasia (PWA), using a continuous scan paradigm. Method: Seven participants (six females, ages 48–70 years) with chronic post-stroke aphasia underwent two fMRI scanning sessions that included a dis-course fMRI paradigm that consisted of five 1-min picture description tasks, using personally relevant photographs, interspersed with two 30-s control periods where participants looked at a fixation cross. Audio during the continu-ous fMRI scan was collected and marked with speaking times and coded for correct information units. Activation maps from the fMRI data were generated for the contrast between speaking and control conditions. In order to show the effects of the multi-echo data analysis, we compared it to a single-echo analy-sis by using only the middle echo (echo time of 30 ms). Results: Through the implementation of the free discourse fMRI task, we were able to elicit activation that included bilateral regions in the planum polare, central opercu-lar cortex, precentral gyrus, superior temporal gyrus, middle temporal gyrus, superior temporal gyrus, Crus I of the cerebellum, as well as bilateral occipital regions Conclusions: We describe a new tool for assessing discourse recovery in PWA. By demonstrating the feasibility of a natural language paradigm in patients with chronic, poststroke aphasia, we open a new area for future research.

Original languageEnglish (US)
Pages (from-to)4838-4848
Number of pages11
JournalJournal of Speech, Language, and Hearing Research
Volume66
Issue number12
DOIs
StatePublished - Dec 2023

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Linguistics and Language
  • Speech and Hearing

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