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Attention Score in Context
| Title |
Kuramoto model simulation of neural hubs and dynamic synchrony in the human cerebral connectome
|
|---|---|
| Published in |
BMC Neuroscience, September 2015
|
| DOI | 10.1186/s12868-015-0193-z |
| Pubmed ID | |
| Authors |
Ruben Schmidt, Karl J. R. LaFleur, Marcel A. de Reus, Leonard H. van den Berg, Martijn P. van den Heuvel |
| Abstract |
The topological structure of the wiring of the mammalian brain cortex plays an important role in shaping the functional dynamics of large-scale neural activity. Due to their central embedding in the network, high degree hub regions and their connections (often referred to as the 'rich club') have been hypothesized to facilitate intermodular neural communication and global integration of information by means of synchronization. Here, we examined the theoretical role of anatomical hubs and their wiring in brain dynamics. The Kuramoto model was used to simulate interaction of cortical brain areas by means of coupled phase oscillators-with anatomical connections between regions derived from diffusion weighted imaging and module assignment of brain regions based on empirically determined resting-state data. Our findings show that synchrony among hub nodes was higher than any module's intramodular synchrony (p < 10(-4), for cortical coupling strengths, λ, in the range 0.02 < λ < 0.05), suggesting that hub nodes lead the functional modules in the process of synchronization. Furthermore, suppressing structural connectivity among hub nodes resulted in an elevated modular state (p < 4.1 × l0(-3), 0.015 < λ < 0.04), indicating that hub-to-hub connections are critical in intermodular synchronization. Finally, perturbing the oscillatory behavior of hub nodes prevented functional modules from synchronizing, implying that synchronization of functional modules is dependent on the hub nodes' behavior. Our results converge on anatomical hubs having a leading role in intermodular synchronization and integration in the human brain. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Canada | 1 | 17% |
| Italy | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Chile | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 148 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 25% |
| Researcher | 23 | 15% |
| Student > Master | 22 | 14% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 6 | 4% |
| Other | 23 | 15% |
| Unknown | 30 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 36 | 24% |
| Physics and Astronomy | 19 | 12% |
| Engineering | 14 | 9% |
| Agricultural and Biological Sciences | 10 | 7% |
| Medicine and Dentistry | 9 | 6% |
| Other | 28 | 18% |
| Unknown | 37 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 February 2017.
All research outputs
#7,755,290
of 23,577,761 outputs
Outputs from BMC Neuroscience
#384
of 1,264 outputs
Outputs of similar age
#91,407
of 268,530 outputs
Outputs of similar age from BMC Neuroscience
#7
of 22 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,264 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 60% 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 268,530 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 56% of its contemporaries.
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 has gotten more attention than average, scoring higher than 68% of its contemporaries.