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Mendeley readers
Attention Score in Context
| Title |
Frequency-Resolved Dynamic Functional Connectivity Reveals Scale-Stable Features of Connectivity-States
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, June 2018
|
| DOI | 10.3389/fnhum.2018.00253 |
| Pubmed ID | |
| Authors |
Markus Goldhacker, Ana M. Tomé, Mark W. Greenlee, Elmar W. Lang |
| Abstract |
Investigating temporal variability of functional connectivity is an emerging field in connectomics. Entering dynamic functional connectivity by applying sliding window techniques on resting-state fMRI (rs-fMRI) time courses emerged from this topic. We introduce frequency-resolved dynamic functional connectivity (frdFC) by means of multivariate empirical mode decomposition (MEMD) followed up by filter-bank investigations. In general, we find that MEMD is capable of generating time courses to perform frdFC and we discover that the structure of connectivity-states is robust over frequency scales and even becomes more evident with decreasing frequency. This scale-stability varies with the number of extracted clusters when applying k-means. We find a scale-stability drop-off from k = 4 to k = 5 extracted connectivity-states, which is corroborated by null-models, simulations, theoretical considerations, filter-banks, and scale-adjusted windows. Our filter-bank studies show that filter design is more delicate in the rs-fMRI than in the simulated case. Besides offering a baseline for further frdFC research, we suggest and demonstrate the use of scale-stability as a possible quality criterion for connectivity-state and model selection. We present first evidence showing that connectivity-states are both a multivariate, and a multiscale phenomenon. A data repository of our frequency-resolved time-series is provided. |
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 % |
|---|---|---|
| Portugal | 1 | 17% |
| Germany | 1 | 17% |
| Poland | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 33% |
| Researcher | 4 | 17% |
| Student > Doctoral Student | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Bachelor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 25% |
| Neuroscience | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Psychology | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 29% |
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 03 December 2018.
All research outputs
#13,098,839
of 23,083,773 outputs
Outputs from Frontiers in Human Neuroscience
#3,690
of 7,213 outputs
Outputs of similar age
#159,658
of 329,037 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#81
of 127 outputs
Altmetric has tracked 23,083,773 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,213 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 47th percentile – i.e., 47% 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 329,037 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 50% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.