| Title |
Reduced brain entropy by repetitive transcranial magnetic stimulation on the left dorsolateral prefrontal cortex in healthy young adults
|
|---|---|
| Published in |
Brain Imaging and Behavior, April 2018
|
| DOI | 10.1007/s11682-018-9866-4 |
| Pubmed ID | |
| Authors |
Donghui Song, Da Chang, Jian Zhang, Wei Peng, Yuanqi Shang, Xin Gao, Ze Wang |
| Abstract |
Entropy indicates system irregularity and the capacity for information processing. Recent research has identified interesting voxel-wise entropy distribution patterns in normal brain and its changes due to aging and brain disorders. A question of great scientific and clinical importance is whether brain entropy (BEN) can be modulated using non-invasive neuromodulations. The purpose of this study was to address this open question using high-frequency repetitive transcranial magnetic stimulation (rTMS). BEN was calculated from resting state fMRI at each voxel acquired before and after applying 20 Hz rTMS or SHAM (control) stimulation. As compared to SHAM, 20 Hz rTMS reduced BEN in medial orbito-frontal cortex and subgenial anterior cingulate cortex (MOFC/sgACC), suggesting a reduced information processing therein, probably as a result of the enhanced top-down regulation by the left DLPFC rTMS. No significant changes were observed to the functional connectivity (FC) between the left DLPFC (the target site) to the rest of the brain, suggesting that rTMS may not affect FC though it might use FC to transfer its effects or the ad hoc information. Our data proved that rTMS can modulate BEN and BEN can be used to monitor rTMS effects. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 24% |
| Researcher | 5 | 15% |
| Student > Doctoral Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 24% |
| Psychology | 2 | 6% |
| Engineering | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 14 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 May 2018.
All research outputs
#13,591,489
of 23,041,514 outputs
Outputs from Brain Imaging and Behavior
#507
of 1,157 outputs
Outputs of similar age
#170,351
of 329,292 outputs
Outputs of similar age from Brain Imaging and Behavior
#19
of 38 outputs
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