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Mendeley readers
Attention Score in Context
| Title |
The Structural Integrity of an Amygdala–Prefrontal Pathway Predicts Trait Anxiety
|
|---|---|
| Published in |
Journal of Neuroscience, September 2009
|
| DOI | 10.1523/jneurosci.2335-09.2009 |
| Pubmed ID | |
| Authors |
M Justin Kim, Paul J Whalen |
| Abstract |
Here, we used diffusion tensor imaging (DTI) and showed that the strength of an axonal pathway identified between the amygdala and prefrontal cortex predicted individual differences in trait anxiety. A functional magnetic resonance imaging (fMRI) functional localizer that has been shown to produce reliable amygdala activation was collected in 20 psychiatrically healthy subjects. Voxelwise regression analyses using this fMRI amygdala reactivity as a regressor were performed on fractional anisotropy images derived from DTI. This analysis identified a white matter pathway between the amygdala and ventromedial prefrontal cortex. Individual differences in the structural integrity of this putative amygdala-prefrontal pathway were inversely correlated with trait anxiety levels (i.e., higher pathway strength predicted lower anxiety). More generally, this study illustrates a strategy for combining fMRI and DTI to identify individual differences in structural pathways that predict behavioral outcomes. |
Mendeley readers
The data shown below were compiled from readership statistics for 581 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 3% |
| Germany | 5 | <1% |
| Switzerland | 3 | <1% |
| United Kingdom | 3 | <1% |
| Australia | 2 | <1% |
| France | 1 | <1% |
| Hong Kong | 1 | <1% |
| Netherlands | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 543 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 139 | 24% |
| Researcher | 110 | 19% |
| Student > Master | 70 | 12% |
| Student > Bachelor | 52 | 9% |
| Student > Doctoral Student | 44 | 8% |
| Other | 117 | 20% |
| Unknown | 49 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 224 | 39% |
| Neuroscience | 91 | 16% |
| Medicine and Dentistry | 70 | 12% |
| Agricultural and Biological Sciences | 63 | 11% |
| Engineering | 12 | 2% |
| Other | 38 | 7% |
| Unknown | 83 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 January 2012.
All research outputs
#6,377,613
of 22,660,862 outputs
Outputs from Journal of Neuroscience
#10,083
of 23,123 outputs
Outputs of similar age
#24,771
of 80,920 outputs
Outputs of similar age from Journal of Neuroscience
#88
of 218 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 23,123 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 54% 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 80,920 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 218 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 52% of its contemporaries.