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

Overview of attention for article published in Human Brain Mapping, January 2014
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Title
A functional MRI study of the relationship between naming treatment outcomes and resting state functional connectivity in post‐stroke aphasia
Published in
Human Brain Mapping, January 2014
DOI 10.1002/hbm.22448
Pubmed ID
Authors

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

Abstract

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. Hum Brain Mapp, 2014. © 2014 Wiley Periodicals, Inc.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Japan 1 <1%
Russia 1 <1%
Unknown 169 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 19%
Researcher 33 19%
Student > Master 19 11%
Student > Bachelor 17 10%
Student > Doctoral Student 9 5%
Other 31 18%
Unknown 31 18%
Readers by discipline Count As %
Psychology 39 23%
Neuroscience 33 19%
Medicine and Dentistry 25 14%
Linguistics 7 4%
Agricultural and Biological Sciences 6 3%
Other 23 13%
Unknown 40 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 June 2019.
All research outputs
#17,710,421
of 22,741,406 outputs
Outputs from Human Brain Mapping
#3,285
of 4,100 outputs
Outputs of similar age
#219,872
of 305,705 outputs
Outputs of similar age from Human Brain Mapping
#44
of 56 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.