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Mendeley readers
Attention Score in Context
| Title |
Probing Intrinsic Resting-State Networks in the Infant Rat Brain
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, October 2016
|
| DOI | 10.3389/fnbeh.2016.00192 |
| Pubmed ID | |
| Authors |
Dusica Bajic, Michael M. Craig, David Borsook, Lino Becerra |
| Abstract |
Resting-state functional magnetic resonance imaging (rs-fMRI) measures spontaneous fluctuations in blood oxygenation level-dependent (BOLD) signal in the absence of external stimuli. It has become a powerful tool for mapping large-scale brain networks in humans and animal models. Several rs-fMRI studies have been conducted in anesthetized and awake adult rats, reporting consistent patterns of brain activity at the systems level. However, the evolution to adult patterns of resting-state activity has not yet been evaluated and quantified in the developing rat brain. In this study, we hypothesized that large-scale intrinsic networks would be easily detectable but not fully established as specific patterns of activity in lightly anesthetized 2-week-old rats (N = 11). Independent component analysis (ICA) identified 8 networks in 2-week-old-rats. These included Default mode, Sensory (Exteroceptive), Salience (Interoceptive), Basal Ganglia-Thalamic-Hippocampal, Basal Ganglia, Autonomic, Cerebellar, as well as Thalamic-Brainstem networks. Many of these networks consisted of more than one component, possibly indicative of immature, underdeveloped networks at this early time point. Except for the Autonomic network, infant rat networks showed reduced connectivity with subcortical structures in comparison to previously published adult networks. Reported slow fluctuations in the BOLD signal that correspond to functionally relevant resting-state networks in 2-week-old rats can serve as an important tool for future studies of brain development in the settings of different pharmacological applications or disease. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iraq | 1 | 25% |
| Singapore | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 51 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 36% |
| Researcher | 13 | 25% |
| Student > Master | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 19 | 36% |
| Engineering | 8 | 15% |
| Psychology | 5 | 9% |
| Agricultural and Biological Sciences | 4 | 8% |
| Physics and Astronomy | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 12 | 23% |
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 19 October 2016.
All research outputs
#13,404,804
of 22,890,496 outputs
Outputs from Frontiers in Behavioral Neuroscience
#1,595
of 3,190 outputs
Outputs of similar age
#164,996
of 316,289 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#35
of 61 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,190 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 48th percentile – i.e., 48% 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 316,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.