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Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia.

Authors :
Johnson JP
Meier EL
Pan Y
Kiran S
Source :
Brain and language [Brain Lang] 2020 Aug; Vol. 207, pp. 104809. Date of Electronic Publication: 2020 Jun 05.
Publication Year :
2020

Abstract

Naming treatment outcomes in post-stroke aphasia are variable and the factors underlying this variability are incompletely understood. In this study, 26 patients with chronic aphasia completed a semantic judgment fMRI task before receiving up to 12 weeks of naming treatment. Global (i.e., network-wide) and local (i.e., regional) graph theoretic measures of pre-treatment functional connectivity were analyzed to identify differences between patients who responded most and least favorably to treatment (i.e., responders and nonresponders) and determine if network measures predicted naming improvements. Responders had higher levels of global integration (i.e., average network strength and global efficiency) than nonresponders, and these measures predicted treatment effects after controlling for lesion volume and age. Group differences in local measures were identified in several regions associated with a variety of cognitive functions. These results suggest there is a meaningful and possibly prognostically-informative relationship between patients' functional network properties and their response to naming therapy.<br /> (Published by Elsevier Inc.)

Details

Language :
English
ISSN :
1090-2155
Volume :
207
Database :
MEDLINE
Journal :
Brain and language
Publication Type :
Academic Journal
Accession number :
32505940
Full Text :
https://doi.org/10.1016/j.bandl.2020.104809