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Mendeley readers
Attention Score in Context
| Title |
Increased Low-Frequency Resting-State Brain Activity by High-Frequency Repetitive TMS on the Left Dorsolateral Prefrontal Cortex
|
|---|---|
| Published in |
Frontiers in Psychology, December 2017
|
| DOI | 10.3389/fpsyg.2017.02266 |
| Pubmed ID | |
| Authors |
Shao-Wei Xue, Yonghu Guo, Wei Peng, Jian Zhang, Da Chang, Yu-Feng Zang, Ze Wang |
| Abstract |
Beneficial effects of repetitive transcranial magnetic stimulation (rTMS) on left dorsolateral prefrontal cortex (DLPFC) have been consistently shown for treating various neuropsychiatrical or neuropsychological disorders, but relatively little is known about its neural mechanisms. Here we conducted a randomized, double-blind, SHAM-controlled study to assess the effects of high-frequency left DLPFC rTMS on resting-state activity. Thirty-eight young healthy subjects received two sessions of either real rTMS (N = 18, 90% motor-threshold; left DLPFC at 20 Hz) or SHAM TMS (N = 20) and functional magnetic resonance imaging scan during rest in 2 days separated by 48 h. Resting-state bran activity was measured with the fractional amplitude of low-frequency fluctuation (fALFF) and functional connectivity (FC). Increased fALFF was found in rostral anterior cingulate cortex (rACC) after 20 Hz rTMS, while no changes were observed after SHAM stimulation. Using the suprathreshold rACC cluster as the seed, increased FC was found in left temporal cortex (stimulation vs. group interaction). These data suggest that high-frequency rTMS on left DLPFC enhances low-frequency resting-state brain activity in the target site and remote sites as reflected by fALFF and FC. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 18% |
| Student > Bachelor | 6 | 13% |
| Student > Doctoral Student | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Student > Master | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 20% |
| Neuroscience | 8 | 18% |
| Medicine and Dentistry | 6 | 13% |
| Engineering | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 17 | 38% |
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 16 December 2017.
All research outputs
#20,454,971
of 23,011,300 outputs
Outputs from Frontiers in Psychology
#24,409
of 30,257 outputs
Outputs of similar age
#376,525
of 440,922 outputs
Outputs of similar age from Frontiers in Psychology
#496
of 519 outputs
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So far Altmetric has tracked 30,257 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 519 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.