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Mendeley readers
Attention Score in Context
| Title |
Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis
|
|---|---|
| Published in |
The Journal of Headache and Pain, October 2016
|
| DOI | 10.1186/s10194-016-0693-y |
| Pubmed ID | |
| Authors |
Gianluca Coppola, Antonio Di Renzo, Emanuele Tinelli, Chiara Lepre, Cherubino Di Lorenzo, Giorgio Di Lorenzo, Marco Scapeccia, Vincenzo Parisi, Mariano Serrao, Claudio Colonnese, Jean Schoenen, Francesco Pierelli |
| Abstract |
Resting state magnetic resonance imaging allows studying functionally interconnected brain networks. Here we were aimed to verify functional connectivity between brain networks at rest and its relationship with thalamic microstructure in migraine without aura (MO) patients between attacks. Eighteen patients with untreated MO underwent 3 T MRI scans and were compared to a group of 19 healthy volunteers (HV). We used MRI to collect resting state data among two selected resting state networks, identified using group independent component (IC) analysis. Fractional anisotropy (FA) and mean diffusivity (MD) values of bilateral thalami were retrieved from a previous diffusion tensor imaging study on the same subjects and correlated with resting state ICs Z-scores. In comparison to HV, in MO we found significant reduced functional connectivity between the default mode network and the visuo-spatial system. Both HV and migraine patients selected ICs Z-scores correlated negatively with FA values of the thalamus bilaterally. The present results are the first evidence supporting the hypothesis that an abnormal resting within networks connectivity associated with significant differences in baseline thalamic microstructure could contribute to interictal migraine pathophysiology. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 80 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 15% |
| Other | 11 | 14% |
| Student > Master | 10 | 12% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Postgraduate | 8 | 10% |
| Other | 16 | 20% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 22 | 27% |
| Medicine and Dentistry | 22 | 27% |
| Psychology | 3 | 4% |
| Engineering | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 9 | 11% |
| Unknown | 20 | 25% |
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 08 September 2017.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from The Journal of Headache and Pain
#1,057
of 1,417 outputs
Outputs of similar age
#200,350
of 316,433 outputs
Outputs of similar age from The Journal of Headache and Pain
#17
of 22 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one is in the 17th percentile – i.e., 17% 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 316,433 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.