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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Delta Rhythm Orchestrates the Neural Activity Underlying the Resting State BOLD Signal via Phase–amplitude Coupling
|
|---|---|
| Published in |
Cerebral Cortex, November 2017
|
| DOI | 10.1093/cercor/bhx310 |
| Pubmed ID | |
| Authors |
Saul Jaime, Hong Gu, Brian F Sadacca, Elliot A Stein, Jose E Cavazos, Yihong Yang, Hanbing Lu |
| Abstract |
Spontaneous ongoing neuronal activity is a prominent feature of the mammalian brain. Temporal and spatial patterns of such ongoing activity have been exploited to examine large-scale brain network organization and function. However, the neurophysiological basis of this spontaneous brain activity as detected by resting-state functional Magnetic Resonance Imaging (fMRI) remains poorly understood. To this end, multi-site local field potentials (LFP) and blood oxygenation level-dependent (BOLD) fMRI were simultaneously recorded in the rat striatum along with local pharmacological manipulation of striatal activity. Results demonstrate that delta (δ) band LFP power negatively, while beta (β) and gamma (γ) band LFPs positively correlated with BOLD fluctuation. Furthermore, there was strong cross-frequency phase-amplitude coupling (PAC), with the phase of δ LFPs significantly modulating the amplitude of the high frequency signal. Enhancing dopaminergic neuronal activity significantly reduced ventral striatal functional connectivity, δ LFP-BOLD correlation, and the PAC effect. These data suggest that different frequency bands of the LFP contribute distinctively to BOLD spontaneous fluctuation and that PAC is the organizing mechanism through which low frequency LFPs orchestrate neural activity that underlies resting state functional connectivity. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 6 | 25% |
| United Kingdom | 3 | 13% |
| Canada | 2 | 8% |
| France | 1 | 4% |
| Australia | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 10 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 50% |
| Members of the public | 11 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 28% |
| Student > Ph. D. Student | 16 | 17% |
| Student > Master | 10 | 11% |
| Professor | 8 | 8% |
| Student > Postgraduate | 6 | 6% |
| Other | 16 | 17% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 43 | 45% |
| Psychology | 12 | 13% |
| Engineering | 6 | 6% |
| Medicine and Dentistry | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 19 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 18 December 2018.
All research outputs
#2,422,215
of 23,577,761 outputs
Outputs from Cerebral Cortex
#850
of 4,923 outputs
Outputs of similar age
#53,835
of 434,600 outputs
Outputs of similar age from Cerebral Cortex
#25
of 90 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 82% 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 434,600 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.