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Mendeley readers
Attention Score in Context
| Title |
Reconstruction of human brain spontaneous activity based on frequency-pattern analysis of magnetoencephalography data
|
|---|---|
| Published in |
Frontiers in Neuroscience, October 2015
|
| DOI | 10.3389/fnins.2015.00373 |
| Pubmed ID | |
| Authors |
Rodolfo R. Llinás, Mikhail N. Ustinin, Stanislav D. Rykunov, Anna I. Boyko, Vyacheslav V. Sychev, Kerry D. Walton, Guilherme M. Rabello, John Garcia |
| Abstract |
A new method for the analysis and localization of brain activity has been developed, based on multichannel magnetic field recordings, over minutes, superimposed on the MRI of the individual. Here, a high resolution Fourier Transform is obtained over the entire recording period, leading to a detailed multi-frequency spectrum. Further analysis implements a total decomposition of the frequency components into functionally invariant entities, each having an invariant field pattern localizable in recording space. The method, addressed as functional tomography, makes it possible to find the distribution of magnetic field sources in space. Here, the method is applied to the analysis of simulated data, to oscillating signals activating a physical current dipoles phantom, and to recordings of spontaneous brain activity in 10 healthy adults. In the analysis of simulated data, 61 dipoles are localized with 0.7 mm precision. Concerning the physical phantom the method is able to localize three simultaneously activated current dipoles with 1 mm precision. Spatial resolution 3 mm was attained when localizing spontaneous alpha rhythm activity in 10 healthy adults, where the alpha peak was specified for each subject individually. Co-registration of the functional tomograms with each subject's head MRI localized alpha range activity to the occipital and/or posterior parietal brain region. This is the first application of this new functional tomography to human brain activity. The method successfully provides an overall view of brain electrical activity, a detailed spectral description and, combined with MRI, the localization of sources in anatomical brain space. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 6 | 22% |
| Student > Ph. D. Student | 6 | 22% |
| Researcher | 4 | 15% |
| Student > Bachelor | 3 | 11% |
| Student > Master | 3 | 11% |
| Other | 3 | 11% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 26% |
| Agricultural and Biological Sciences | 4 | 15% |
| Engineering | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Psychology | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 3 | 11% |
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 19 October 2015.
All research outputs
#15,740,505
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#6,688
of 11,541 outputs
Outputs of similar age
#150,235
of 292,360 outputs
Outputs of similar age from Frontiers in Neuroscience
#79
of 143 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 39th percentile – i.e., 39% 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 292,360 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.