| Title |
Amygdala Perfusion Is Predicted by Its Functional Connectivity with the Ventromedial Prefrontal Cortex and Negative Affect
|
|---|---|
| Published in |
PLOS ONE, May 2014
|
| DOI | 10.1371/journal.pone.0097466 |
| Pubmed ID | |
| Authors |
Garth Coombs, Marco L. Loggia, Douglas N. Greve, Daphne J. Holt |
| Abstract |
Previous studies have shown that the activity of the amygdala is elevated in people experiencing clinical and subclinical levels of anxiety and depression (negative affect). It has been proposed that a reduction in inhibitory input to the amygdala from the prefrontal cortex and resultant over-activity of the amygdala underlies this association. Prior studies have found relationships between negative affect and 1) amygdala over-activity and 2) reduced amygdala-prefrontal connectivity. However, it is not known whether elevated amygdala activity is associated with decreased amygdala-prefrontal connectivity during negative affect states. |
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 % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| France | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 95 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 17% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Master | 15 | 15% |
| Student > Doctoral Student | 11 | 11% |
| Student > Bachelor | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 18 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 28 | 29% |
| Neuroscience | 17 | 17% |
| Medicine and Dentistry | 13 | 13% |
| Agricultural and Biological Sciences | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 26 | 27% |