| Title |
Dynamic brain functional connectivity modulated by resting-state networks
|
|---|---|
| Published in |
Brain Structure and Function, September 2013
|
| DOI | 10.1007/s00429-013-0634-3 |
| Pubmed ID | |
| Authors |
Xin Di, Bharat B. Biswal |
| Abstract |
Studies of large-scale brain functional connectivity using the resting-state functional magnetic resonance imaging have advanced our understanding of human brain functions. Although the evidence of dynamic functional connectivity is accumulating, the variations of functional connectivity over time have not been well characterized. In the present study, we aimed to associate the variations of functional connectivity with the intrinsic activities of resting-state networks during a single resting-state scan by comparing functional connectivity differences between when a network had higher and lower intrinsic activities. The activities of the salience network, default mode network (DMN), and motor network were associated with changes of resting-state functional connectivity. Higher activity of the salience network was accompanied by greater functional connectivity between the fronto-parietal regions and the DMN regions, and between the regions within the DMN. Higher DMN activity was associated with less connectivity between the regions within the DMN, and greater connectivity between the regions within the fronto-parietal network. Higher motor network activity was correlated with greater connectivity between the regions within the motor network, and smaller connectivity between the DMN regions and fronto-parietal regions, and between the DMN regions and the motor regions. In addition, the whole brain network modularity was positively correlated with the motor network activity, suggesting that the brain is more segregated as sub-systems when the motor network is intrinsically activated. Together, these results demonstrate the association between the resting-state connectivity variations and the intrinsic activities of specific networks, which can provide insights on the dynamic changes in large-scale brain connectivity and network configurations. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Japan | 2 | <1% |
| United Kingdom | 1 | <1% |
| Singapore | 1 | <1% |
| Finland | 1 | <1% |
| Russia | 1 | <1% |
| Italy | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 253 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 26% |
| Researcher | 51 | 19% |
| Student > Master | 43 | 16% |
| Student > Doctoral Student | 17 | 6% |
| Professor > Associate Professor | 12 | 4% |
| Other | 32 | 12% |
| Unknown | 43 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 66 | 25% |
| Psychology | 45 | 17% |
| Engineering | 26 | 10% |
| Agricultural and Biological Sciences | 21 | 8% |
| Medicine and Dentistry | 16 | 6% |
| Other | 31 | 12% |
| Unknown | 62 | 23% |
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 03 October 2013.
All research outputs
#16,454,538
of 24,217,893 outputs
Outputs from Brain Structure and Function
#1,015
of 1,725 outputs
Outputs of similar age
#130,369
of 210,004 outputs
Outputs of similar age from Brain Structure and Function
#6
of 20 outputs
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