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Cortical Inhibition in Motor and Non-Motor Regions: A Combined TMS-EEG Study

Overview of attention for article published in Clinical EEG and Neuroscience, July 2008
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Article details
Title
Cortical Inhibition in Motor and Non-Motor Regions: A Combined TMS-EEG Study
Published in
Clinical EEG and Neuroscience, July 2008
DOI 10.1177/155005940803900304
Pubmed ID
Authors
Abstract

A number of studies using paired pulse transcranial magnetic stimulation (TMS) have demonstrated that cortical inhibition (CI) of the motor cortex can be recorded and also gauged through surface electromyography. However, recording CI from other brain regions that are more directly related with the pathophysiology of some neurologic and psychiatric disorders (e.g., dorsolateral prefrontal cortex (DLPFC) in schizophrenia) was previously fraught with technical difficulties. This study was therefore designed to examine, through a combination of TMS with EEG, whether CI could be measured directly from the motor cortex, DLPFC, and another non-motor region. To index CI, long interval cortical inhibition (LICI; a TMS paradigm) was used in the motor cortex and DLPFC in 14 healthy subjects, and in the parietal lobe in 5 of those subjects. In the motor cortex, LICI resulted in a significant suppression in mean cortical evoked activity on EEG (37.31 +/- 47.51%). In the DLPFC, LICI resulted in a significant suppression (32.45 +/- 47.86%) in mean cortical evoked activity and did not correlate with LICI in the motor cortex although they did not significantly differ. In the parietal lobe, LICI resulted in significant suppression (47.76 +/- 44.70%) in mean cortical evoked activity. In conclusion, CI in the dorsolateral prefrontal cortex, motor cortex and parietal cortex were similar at 120% of motor threshold. These data suggest that CI can be recorded by combining TMS with EEG and may facilitate future research attempting to ascertain the role of CI in the pathophysiology of several neurologic and psychiatric disorders.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 2%
United States 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Brazil 1 <1%
Australia 1 <1%
Unknown 101 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Researcher 18 17%
Student > Doctoral Student 11 10%
Student > Bachelor 10 9%
Student > Master 10 9%
Other 19 18%
Unknown 21 19%
Readers by discipline
Readers by discipline Count As %
Neuroscience 26 24%
Psychology 15 14%
Agricultural and Biological Sciences 13 12%
Medicine and Dentistry 10 9%
Engineering 6 6%
Other 9 8%
Unknown 29 27%
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 15 September 2016.
All research outputs
#15,384,302
of 22,888,307 outputs
Outputs from Clinical EEG and Neuroscience
#244
of 482 outputs
Outputs of similar age
#69,562
of 81,930 outputs
Outputs of similar age from Clinical EEG and Neuroscience
#2
of 2 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 482 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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