The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Strong Relation Between an EEG Functional Connectivity Measure and Postmenstrual Age: A New Potential Tool for Measuring Neonatal Brain Maturation
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, July 2018
|
| DOI | 10.3389/fnhum.2018.00286 |
| Pubmed ID | |
| Authors |
Laura Anna van de Pol, Charlotte van ’t Westende, Inge Zonnenberg, Esther Koedam, Ineke van Rossum, Willem de Haan, Marjan Steenweg, Elisabeth Catharina van Straaten, Cornelis Jan Stam |
| Abstract |
Fetal and neonatal brain connectivity development is highly complex. Studies have shown that functional networks change dramatically during development. The purpose of the current study was to determine how the mean phase lag index (mPLI), a measure of functional connectivity (FC), assessed with electroencephalography (EEG), changes with postmenstrual age (PMA) during the early stages of brain development after birth. Neonates (N = 131) with PMA 27.6-45.3 weeks who underwent an EEG for a medical reason were retrospectively studied. For each recording, global FC was assessed by obtaining a whole-head average of all local PLI values (pairwise between sensor space EEG signals). Global FC results were consequently correlated with PMA values in seven frequency bands. Local results were obtained for the frequency band with the strongest global association. There was a strong negative correlation between mPLI and PMA in most frequency bands. The strongest association was found in the delta frequency band (R = -0.616, p < 0.001) which was therefore topographically explored; the strongest correlations were between pairs of electrodes with at least one electrode covering the central sulcus. Even in this heterogeneous group of neonates, global FC strongly reflects PMA. The decrease in PLI may reflect the process of segregation of specific brain regions with increasing PMA. This was mainly found in the central brain regions, in parallel with myelination of these areas during early development. In the future, there may be a role for PLI in detecting atypical FC maturation. Moreover, PLI could be used to develop biomarkers for brain maturation and expose segregation processes in the neonatal brain. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 20% |
| United States | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
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 % |
|---|---|---|
| Researcher | 6 | 25% |
| Student > Master | 5 | 21% |
| Student > Ph. D. Student | 5 | 21% |
| Other | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 46% |
| Engineering | 4 | 17% |
| Psychology | 2 | 8% |
| Medicine and Dentistry | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 July 2018.
All research outputs
#14,134,028
of 23,092,602 outputs
Outputs from Frontiers in Human Neuroscience
#4,318
of 7,214 outputs
Outputs of similar age
#162,419
of 296,617 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#83
of 122 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,214 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 37th percentile – i.e., 37% 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 296,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.