| Title |
Structure–function relationships during segregated and integrated network states of human brain functional connectivity
|
|---|---|
| Published in |
Brain Structure and Function, October 2017
|
| DOI | 10.1007/s00429-017-1539-3 |
| Pubmed ID | |
| Authors |
Makoto Fukushima, Richard F. Betzel, Ye He, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns |
| Abstract |
Structural white matter connections are thought to facilitate integration of neural information across functionally segregated systems. Recent studies have demonstrated that changes in the balance between segregation and integration in brain networks can be tracked by time-resolved functional connectivity derived from resting-state functional magnetic resonance imaging (rs-fMRI) data and that fluctuations between segregated and integrated network states are related to human behavior. However, how these network states relate to structural connectivity is largely unknown. To obtain a better understanding of structural substrates for these network states, we investigated how the relationship between structural connectivity, derived from diffusion tractography, and functional connectivity, as measured by rs-fMRI, changes with fluctuations between segregated and integrated states in the human brain. We found that the similarity of edge weights between structural and functional connectivity was greater in the integrated state, especially at edges connecting the default mode and the dorsal attention networks. We also demonstrated that the similarity of network partitions, evaluated between structural and functional connectivity, increased and the density of direct structural connections within modules in functional networks was elevated during the integrated state. These results suggest that, when functional connectivity exhibited an integrated network topology, structural connectivity and functional connectivity were more closely linked to each other and direct structural connections mediated a larger proportion of neural communication within functional modules. Our findings point out the possibility of significant contributions of structural connections to integrative neural processes underlying human behavior. |
X Demographics
The data shown below were collected from the profiles of 58 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 | 13 | 22% |
| Canada | 4 | 7% |
| United Kingdom | 4 | 7% |
| Australia | 3 | 5% |
| France | 3 | 5% |
| Italy | 2 | 3% |
| Korea, Republic of | 2 | 3% |
| Belgium | 2 | 3% |
| Germany | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 20 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 38 | 66% |
| Scientists | 17 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 160 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 28% |
| Student > Master | 28 | 18% |
| Researcher | 15 | 9% |
| Student > Doctoral Student | 11 | 7% |
| Student > Postgraduate | 8 | 5% |
| Other | 23 | 14% |
| Unknown | 31 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 38 | 24% |
| Psychology | 18 | 11% |
| Engineering | 11 | 7% |
| Medicine and Dentistry | 10 | 6% |
| Agricultural and Biological Sciences | 9 | 6% |
| Other | 23 | 14% |
| Unknown | 51 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 May 2019.
All research outputs
#1,210,088
of 25,364,653 outputs
Outputs from Brain Structure and Function
#66
of 1,757 outputs
Outputs of similar age
#24,539
of 336,562 outputs
Outputs of similar age from Brain Structure and Function
#2
of 52 outputs
Altmetric has tracked 25,364,653 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 96% of its peers.
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We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.