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Mendeley readers
Attention Score in Context
| Title |
Resting-state EEG gamma power and theta–gamma coupling enhancement following high-frequency left dorsolateral prefrontal rTMS in patients with depression
|
|---|---|
| Published in |
Clinical Neurophysiology, January 2017
|
| DOI | 10.1016/j.clinph.2016.12.023 |
| Pubmed ID | |
| Authors |
Yoshihiro Noda, Reza Zomorrodi, Takashi Saeki, Tarek K. Rajji, Daniel M. Blumberger, Zafiris J. Daskalakis, Motoaki Nakamura |
| Abstract |
We aimed to investigate neuromodulatory effects of high-frequency left dorsolateral prefrontal cortex repetitive transcranial magnetic stimulation (rTMS) on resting-state electroencephalography (EEG) and their clinical and cognitive correlates in patients with depression. Thirty-one patients diagnosed with depression included in the present study. Resting-state gamma power and theta-gamma coupling (TGC) were calculated before and after a course of rTMS. We explored the relationship among gamma power, TGC, and clinical/cognitive outcomes as measured with the Hamilton Rating Scale for Depression (HAM-D17), Beck Depression Inventory (BDI), and Wisconsin Card Sorting Test (WCST). Following rTMS, depressed patients demonstrated significant increases of resting gamma power at the F3 and F4 electrode sites and resting TGC at the C3 and T3 electrode sites. Furthermore, the increased gamma power at the F3 electrode site was significantly correlated with improved score on the HAM-D17 and BDI, while the increased TGC at the C3 electrode site was significantly correlated with reduced number of errors on the WCST. Thus, resting-state gamma power and TGC may represent potential biomarkers of depression associated with therapeutic effects of rTMS. Resting-state EEG may provide potential biomarkers related to therapeutic effects of rTMS. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 40% |
| France | 1 | 20% |
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Serbia | 1 | <1% |
| Unknown | 133 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 24% |
| Researcher | 16 | 12% |
| Student > Master | 14 | 10% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 9 | 7% |
| Other | 20 | 15% |
| Unknown | 33 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 42 | 31% |
| Psychology | 21 | 16% |
| Engineering | 7 | 5% |
| Medicine and Dentistry | 7 | 5% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 8 | 6% |
| Unknown | 47 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 January 2017.
All research outputs
#7,856,693
of 25,394,764 outputs
Outputs from Clinical Neurophysiology
#1,183
of 5,359 outputs
Outputs of similar age
#133,907
of 422,904 outputs
Outputs of similar age from Clinical Neurophysiology
#18
of 82 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 5,359 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 77% 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 422,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.