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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Frequency and time-frequency analysis of intraoperative ECoG during awake brain stimulation
|
|---|---|
| Published in |
Frontiers in Neuroengineering, January 2013
|
| DOI | 10.3389/fneng.2013.00001 |
| Pubmed ID | |
| Authors |
Emanuela Formaggio, Silvia F. Storti, Vincenzo Tramontano, Agnese Casarin, Alessandra Bertoldo, Antonio Fiaschi, Andrea Talacchi, Francesco Sala, Gianna M. Toffolo, Paolo Manganotti |
| Abstract |
Electrocortical stimulation remains the standard for functional brain mapping of eloquent areas to prevent postoperative functional deficits. The aim of this study was to investigate whether the short-train technique (monopolar stimulation) and Penfield's technique (bipolar stimulation) would induce different effects on brain oscillatory activity in awake patients, as quantified by electrocorticography (ECoG). The study population was seven patients undergoing brain tumor surgery. Intraoperative bipolar and monopolar electrical stimulation for cortical mapping was performed during awake surgery. ECoG was recorded using 1 × 8 electrode strip. Spectral estimation was calculated using a parametric approach based on an autoregressive model. Wavelet-based time-frequency analysis was then applied to evaluate the temporal evolution of brain oscillatory activity. Both monopolar and bipolar stimulation produced an increment in delta and a decrease in beta powers for the motor and the sensory channels. These phenomena lasted about 4 s. Comparison between monopolar and bipolar stimulation showed no significant difference in brain activity. Given the importance of quantitative signal analysis for evaluating response accuracy, ECoG recording during electrical stimulation is necessary to characterize the dynamic processes underlying changes in cortical responses in vivo. This study is a preliminary approach to the quantitative analysis of post-stimulation ECoG signals. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Russia | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 73 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 29% |
| Researcher | 8 | 10% |
| Student > Master | 8 | 10% |
| Professor > Associate Professor | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Other | 12 | 16% |
| Unknown | 13 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 27 | 35% |
| Medicine and Dentistry | 12 | 16% |
| Neuroscience | 9 | 12% |
| Agricultural and Biological Sciences | 7 | 9% |
| Psychology | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 15 | 19% |
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 25 February 2013.
All research outputs
#20,184,694
of 22,699,621 outputs
Outputs from Frontiers in Neuroengineering
#70
of 82 outputs
Outputs of similar age
#248,720
of 280,695 outputs
Outputs of similar age from Frontiers in Neuroengineering
#7
of 9 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 82 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 280,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.