Literature DB >> 24453137

A functional MRI study of the relationship between naming treatment outcomes and resting state functional connectivity in post-stroke aphasia.

Sophia van Hees1, Katie McMahon, Anthony Angwin, Greig de Zubicaray, Stephen Read, David A Copland.   

Abstract

BACKGROUND: The majority of studies investigating the neural mechanisms underlying treatment in people with aphasia have examined task-based brain activity. However, the use of resting-state fMRI may provide another method of examining the brain mechanisms responsible for treatment-induced recovery, and allows for investigation into connectivity within complex functional networks
METHODS: Eight people with aphasia underwent 12 treatment sessions that aimed to improve object naming. Half the sessions employed a phonologically-based task, and half the sessions employed a semantic-based task, with resting-state fMRI conducted pre- and post-treatment. Brain regions in which the amplitude of low frequency fluctuations (ALFF) correlated with treatment outcomes were used as seeds for functional connectivity (FC) analysis. FC maps were compared from pre- to post-treatment, as well as with a group of 12 healthy older controls
RESULTS: Pre-treatment ALFF in the right middle temporal gyrus (MTG) correlated with greater outcomes for the phonological treatment, with a shift to the left MTG and supramarginal gyrus, as well as the right inferior frontal gyrus, post-treatment. When compared to controls, participants with aphasia showed both normalization and up-regulation of connectivity within language networks post-treatment, predominantly in the left hemisphere
CONCLUSIONS: The results provide preliminary evidence that treatments for naming impairments affect the FC of language networks, and may aid in understanding the neural mechanisms underlying the rehabilitation of language post-stroke.
Copyright © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  anomia; language network; phonology; rehabilitation; semantics

Mesh:

Year:  2014        PMID: 24453137      PMCID: PMC6869730          DOI: 10.1002/hbm.22448

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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