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Mendeley readers
Attention Score in Context
| Title |
Dynamic BOLD functional connectivity in humans and its electrophysiological correlates
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, January 2012
|
| DOI | 10.3389/fnhum.2012.00339 |
| Pubmed ID | |
| Authors |
Enzo Tagliazucchi, Frederic von Wegner, Astrid Morzelewski, Verena Brodbeck, Helmut Laufs |
| Abstract |
Neural oscillations subserve many human perceptual and cognitive operations. Accordingly, brain functional connectivity is not static in time, but fluctuates dynamically following the synchronization and desynchronization of neural populations. This dynamic functional connectivity has recently been demonstrated in spontaneous fluctuations of the Blood Oxygen Level-Dependent (BOLD) signal, measured with functional Magnetic Resonance Imaging (fMRI). We analyzed temporal fluctuations in BOLD connectivity and their electrophysiological correlates, by means of long (≈50 min) joint electroencephalographic (EEG) and fMRI recordings obtained from two populations: 15 awake subjects and 13 subjects undergoing vigilance transitions. We identified positive and negative correlations between EEG spectral power (extracted from electrodes covering different scalp regions) and fMRI BOLD connectivity in a network of 90 cortical and subcortical regions (with millimeter spatial resolution). In particular, increased alpha (8-12 Hz) and beta (15-30 Hz) power were related to decreased functional connectivity, whereas gamma (30-60 Hz) power correlated positively with BOLD connectivity between specific brain regions. These patterns were altered for subjects undergoing vigilance changes, with slower oscillations being correlated with functional connectivity increases. Dynamic BOLD functional connectivity was reflected in the fluctuations of graph theoretical indices of network structure, with changes in frontal and central alpha power correlating with average path length. Our results strongly suggest that fluctuations of BOLD functional connectivity have a neurophysiological origin. Positive correlations with gamma can be interpreted as facilitating increased BOLD connectivity needed to integrate brain regions for cognitive performance. Negative correlations with alpha suggest a temporary functional weakening of local and long-range connectivity, associated with an idling state. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| Switzerland | 2 | 15% |
| Italy | 1 | 8% |
| Thailand | 1 | 8% |
| Austria | 1 | 8% |
| Argentina | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 407 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| Germany | 4 | <1% |
| Canada | 3 | <1% |
| Netherlands | 2 | <1% |
| France | 2 | <1% |
| China | 2 | <1% |
| Spain | 2 | <1% |
| United Kingdom | 1 | <1% |
| Finland | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 379 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 95 | 23% |
| Researcher | 81 | 20% |
| Student > Master | 65 | 16% |
| Student > Doctoral Student | 21 | 5% |
| Professor > Associate Professor | 20 | 5% |
| Other | 68 | 17% |
| Unknown | 57 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 89 | 22% |
| Psychology | 69 | 17% |
| Medicine and Dentistry | 44 | 11% |
| Engineering | 40 | 10% |
| Agricultural and Biological Sciences | 34 | 8% |
| Other | 46 | 11% |
| Unknown | 85 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 17 December 2022.
All research outputs
#1,943,905
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#902
of 7,638 outputs
Outputs of similar age
#13,772
of 256,285 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#53
of 292 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 88% 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 256,285 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 292 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.