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Attention Score in Context
| Title |
GABA Concentration in Posterior Cingulate Cortex Predicts Putamen Response during Resting State fMRI
|
|---|---|
| Published in |
PLOS ONE, September 2014
|
| DOI | 10.1371/journal.pone.0106609 |
| Pubmed ID | |
| Authors |
Jorge Arrubla, Desmond H. Y. Tse, Christin Amkreutz, Irene Neuner, N. Jon Shah |
| Abstract |
The role of neurotransmitters in the activity of resting state networks has been gaining attention and has become a field of research with magnetic resonance spectroscopy (MRS) being one of the key techniques. MRS permits the measurement of γ-aminobutyric acid (GABA) and glutamate levels, the central biochemical constituents of the excitation-inhibition balance in vivo. The inhibitory effects of GABA in the brain have been largely investigated in relation to the activity of resting state networks in functional magnetic resonance imaging (fMRI). In this study GABA concentration in the posterior cingulate cortex (PCC) was measured using single voxel spectra acquired with standard point resolved spectroscopy (PRESS) from 20 healthy male volunteers at 3 T. Resting state fMRI was consecutively measured and the values of GABA/Creatine+Phosphocreatine ratio (GABA ratio) were included in a general linear model matrix as a step of dual regression analysis in order to identify voxels whose neuroimaging metrics during rest were related to individual levels of the GABA ratio. Our data show that the connection strength of putamen to the default-mode network during resting state has a negative linear relationship with the GABA ratio measured in the PCC. These findings highlight the role of PCC and GABA in segregation of the motor input, which is an inherent condition that characterises resting state. |
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 % |
|---|---|---|
| Germany | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 5% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 89 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 24% |
| Student > Master | 18 | 19% |
| Researcher | 17 | 18% |
| Student > Doctoral Student | 8 | 8% |
| Student > Bachelor | 6 | 6% |
| Other | 8 | 8% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 26% |
| Neuroscience | 16 | 16% |
| Medicine and Dentistry | 9 | 9% |
| Agricultural and Biological Sciences | 7 | 7% |
| Physics and Astronomy | 6 | 6% |
| Other | 12 | 12% |
| Unknown | 22 | 23% |
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 15 June 2016.
All research outputs
#13,919,373
of 22,763,032 outputs
Outputs from PLOS ONE
#112,294
of 194,201 outputs
Outputs of similar age
#118,612
of 237,864 outputs
Outputs of similar age from PLOS ONE
#2,498
of 5,024 outputs
Altmetric has tracked 22,763,032 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 194,201 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 40th percentile – i.e., 40% 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 237,864 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,024 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.