| Title |
Transcranial electrical stimulation (tES) mechanisms and its effects on cortical excitability and connectivity
|
|---|---|
| Published in |
Journal of Inherited Metabolic Disease, July 2018
|
| DOI | 10.1007/s10545-018-0181-4 |
| Pubmed ID | |
| Authors |
Thomas Reed, Roi Cohen Kadosh |
| Abstract |
In this review, we describe transcranial electrical stimulation (tES) techniques currently being used in neuroscientific research, including transcranial direct current (tDCS), alternating current (tACS) and random noise (tRNS) stimulation techniques. We explain how these techniques are used and summarise the proposed mechanisms of action for each technique. We continue by describing how each method has been used to alter endogenous neuronal oscillations and connectivity between brain regions, and we conclude by highlighting the varying effects of stimulation and discussing the future direction of these stimulation techniques in research. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 63% |
| United States | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Unknown | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 293 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 20% |
| Student > Master | 37 | 13% |
| Student > Bachelor | 33 | 11% |
| Researcher | 26 | 9% |
| Student > Doctoral Student | 15 | 5% |
| Other | 30 | 10% |
| Unknown | 92 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 80 | 27% |
| Psychology | 31 | 11% |
| Engineering | 21 | 7% |
| Medicine and Dentistry | 9 | 3% |
| Biochemistry, Genetics and Molecular Biology | 7 | 2% |
| Other | 37 | 13% |
| Unknown | 108 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 18 May 2023.
All research outputs
#1,619,785
of 25,243,918 outputs
Outputs from Journal of Inherited Metabolic Disease
#37
of 2,006 outputs
Outputs of similar age
#33,116
of 333,526 outputs
Outputs of similar age from Journal of Inherited Metabolic Disease
#3
of 30 outputs
Altmetric has tracked 25,243,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,006 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.