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Prefrontal Neuromodulation Using rTMS Improves Error Monitoring and Correction Function in Autism

Overview of attention for article published in Applied Psychophysiology and Biofeedback, February 2012
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Title
Prefrontal Neuromodulation Using rTMS Improves Error Monitoring and Correction Function in Autism
Published in
Applied Psychophysiology and Biofeedback, February 2012
DOI 10.1007/s10484-012-9182-5
Pubmed ID
Authors

Estate M. Sokhadze, Joshua M. Baruth, Lonnie Sears, Guela E. Sokhadze, Ayman S. El-Baz, Manuel F. Casanova

Abstract

One important executive function known to be compromised in autism spectrum disorder (ASD) is related to response error monitoring and post-error response correction. Several reports indicate that children with ASD show reduced error processing and deficient behavioral correction after an error is committed. Error sensitivity can be readily examined by measuring event-related potentials (ERP) associated with responses to errors, the fronto-central error-related negativity (ERN), and the error-related positivity (Pe). The goal of our study was to investigate whether reaction time (RT), error rate, post-error RT change, ERN, and Pe will show positive changes following 12-week long slow frequency repetitive TMS (rTMS) over dorsolateral prefrontal cortex (DLPFC) in high functioning children with ASD. We hypothesized that 12 sessions of 1 Hz rTMS bilaterally applied over the DLPFC will result in improvements reflected in both behavioral and ERP measures. Participants were randomly assigned to either active rTMS treatment or wait-list (WTL) groups. Baseline and post-TMS/or WTL EEG was collected using 128 channel EEG system. The task involved the recognition of a specific illusory shape, in this case a square or triangle, created by three or four inducer disks. ERN in TMS treatment group became significantly more negative. The number of omission errors decreased post-TMS. The RT did not change, but post-error RT became slower. There were no changes in RT, error rate, post-error RT slowing, nor in ERN/Pe measures in the wait-list group. Our results show significant post-TMS differences in the response-locked ERP such as ERN, as well as behavioral response monitoring measures indicative of improved error monitoring and correction function. The ERN and Pe, along with behavioral performance measures, can be used as functional outcome measures to assess the effectiveness of neuromodulation (e.g., rTMS) in children with autism and thus may have important practical implications.

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Geographical breakdown

Country Count As %
United States 4 2%
Japan 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Unknown 239 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 14%
Student > Bachelor 34 14%
Researcher 31 13%
Student > Master 30 12%
Student > Doctoral Student 17 7%
Other 41 17%
Unknown 59 24%
Readers by discipline Count As %
Psychology 75 30%
Medicine and Dentistry 40 16%
Neuroscience 22 9%
Agricultural and Biological Sciences 9 4%
Nursing and Health Professions 7 3%
Other 20 8%
Unknown 73 30%
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 22 April 2013.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from Applied Psychophysiology and Biofeedback
#301
of 355 outputs
Outputs of similar age
#202,231
of 252,650 outputs
Outputs of similar age from Applied Psychophysiology and Biofeedback
#5
of 7 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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 252,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
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