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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Finite-Element Model Predicts Current Density Distribution for Clinical Applications of tDCS and tACS
|
|---|---|
| Published in |
Frontiers in Psychiatry, January 2012
|
| DOI | 10.3389/fpsyt.2012.00083 |
| Pubmed ID | |
| Authors |
Toralf Neuling, Sven Wagner, Carsten H. Wolters, Tino Zaehle, Christoph S. Herrmann |
| Abstract |
Transcranial direct current stimulation (tDCS) has been applied in numerous scientific studies over the past decade. However, the possibility to apply tDCS in therapy of neuropsychiatric disorders is still debated. While transcranial magnetic stimulation (TMS) has been approved for treatment of major depression in the United States by the Food and Drug Administration (FDA), tDCS is not as widely accepted. One of the criticisms against tDCS is the lack of spatial specificity. Focality is limited by the electrode size (35 cm(2) are commonly used) and the bipolar arrangement. However, a current flow through the head directly from anode to cathode is an outdated view. Finite-element (FE) models have recently been used to predict the exact current flow during tDCS. These simulations have demonstrated that the current flow depends on tissue shape and conductivity. To face the challenge to predict the location, magnitude, and direction of the current flow induced by tDCS and transcranial alternating current stimulation (tACS), we used a refined realistic FE modeling approach. With respect to the literature on clinical tDCS and tACS, we analyzed two common setups for the location of the stimulation electrodes which target the frontal lobe and the occipital lobe, respectively. We compared lateral and medial electrode configuration with regard to their usability. We were able to demonstrate that the lateral configurations yielded more focused stimulation areas as well as higher current intensities in the target areas. The high resolution of our simulation allows one to combine the modeled current flow with the knowledge of neuronal orientation to predict the consequences of tDCS and tACS. Our results not only offer a basis for a deeper understanding of the stimulation sites currently in use for clinical applications but also offer a better interpretation of observed effects. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 351 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Italy | 1 | <1% |
| Greece | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 344 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 20% |
| Researcher | 71 | 20% |
| Student > Master | 54 | 15% |
| Student > Doctoral Student | 25 | 7% |
| Student > Bachelor | 21 | 6% |
| Other | 50 | 14% |
| Unknown | 59 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 80 | 23% |
| Psychology | 73 | 21% |
| Medicine and Dentistry | 33 | 9% |
| Engineering | 31 | 9% |
| Agricultural and Biological Sciences | 21 | 6% |
| Other | 24 | 7% |
| Unknown | 89 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 06 May 2020.
All research outputs
#1,902,364
of 23,577,654 outputs
Outputs from Frontiers in Psychiatry
#1,044
of 10,700 outputs
Outputs of similar age
#14,249
of 247,799 outputs
Outputs of similar age from Frontiers in Psychiatry
#10
of 90 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,700 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 90% of its peers.
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 247,799 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.