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Trait aspects of auditory mismatch negativity predict response to auditory training in individuals with early illness schizophrenia

Overview of attention for article published in Neuropsychiatric Electrophysiology, June 2017
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  • Above-average Attention Score compared to outputs of the same age (57th percentile)

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Citations

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19 Dimensions

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23 Mendeley
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Title
Trait aspects of auditory mismatch negativity predict response to auditory training in individuals with early illness schizophrenia
Published in
Neuropsychiatric Electrophysiology, June 2017
DOI 10.1186/s40810-017-0024-9
Pubmed ID
Authors

Bruno Biagianti, Brian J. Roach, Melissa Fisher, Rachel Loewy, Judith M. Ford, Sophia Vinogradov, Daniel H. Mathalon

Abstract

Individuals with schizophrenia have heterogeneous impairments of the auditory processing system that likely mediate differences in the cognitive gains induced by auditory training (AT). Mismatch negativity (MMN) is an event-related potential component reflecting auditory echoic memory, and its amplitude reduction in schizophrenia has been linked to cognitive deficits. Therefore, MMN may predict response to AT and identify individuals with schizophrenia who have the most to gain from AT. Furthermore, to the extent that AT strengthens auditory deviance processing, MMN may also serve as a readout of the underlying changes in the auditory system induced by AT. Fifty-six individuals early in the course of a schizophrenia-spectrum illness (ESZ) were randomly assigned to 40 h of AT or Computer Games (CG). Cognitive assessments and EEG recordings during a multi-deviant MMN paradigm were obtained before and after AT and CG. Changes in these measures were compared between the treatment groups. Baseline and trait-like MMN data were evaluated as predictors of treatment response. MMN data collected with the same paradigm from a sample of Healthy Controls (HC; n = 105) were compared to baseline MMN data from the ESZ group. Compared to HC, ESZ individuals showed significant MMN reductions at baseline (p = .003). Reduced Double-Deviant MMN was associated with greater general cognitive impairment in ESZ individuals (p = .020). Neither ESZ intervention group showed significant change in MMN. We found high correlations in all MMN deviant types (rs = .59-.68, all ps < .001) between baseline and post-intervention amplitudes irrespective of treatment group, suggesting trait-like stability of the MMN signal. Greater deficits in trait-like Double-Deviant MMN predicted greater cognitive improvements in the AT group (p = .02), but not in the CG group. In this sample of ESZ individuals, AT had no effect on auditory deviance processing as assessed by MMN. In ESZ individuals, baseline MMN was significantly reduced relative to HCs, and associated with global cognitive impairment. MMN did not show changes after AT and exhibited trait-like stability. Greater deficits in the trait aspects of Double-Deviant MMN predicted greater gains in global cognition in response to AT, suggesting that MMN may identify individuals who stand to gain the most from AT. NCT00694889. Registered 1 August 2007.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 5 22%
Researcher 3 13%
Student > Doctoral Student 2 9%
Lecturer 2 9%
Other 3 13%
Unknown 2 9%
Readers by discipline Count As %
Psychology 6 26%
Neuroscience 5 22%
Medicine and Dentistry 2 9%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 7 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 November 2017.
All research outputs
#6,497,405
of 12,122,714 outputs
Outputs from Neuropsychiatric Electrophysiology
#10
of 19 outputs
Outputs of similar age
#113,341
of 272,346 outputs
Outputs of similar age from Neuropsychiatric Electrophysiology
#1
of 1 outputs
Altmetric has tracked 12,122,714 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19 research outputs from this source. They receive a mean Attention Score of 3.7. This one scored the same or higher as 9 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 272,346 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them