| Title |
Effective connectivity between amygdala and orbitofrontal cortex differentiates the perception of facial expressions
|
|---|---|
| Published in |
Social Neuroscience, November 2008
|
| DOI | 10.1080/17470910802453105 |
| Pubmed ID | |
| Authors | |
| Abstract |
Emotion research is guided both by the view that emotions are points in a dimensional space, such as valence or approach-withdrawal, and by the view that emotions are discrete categories. We determined whether effective connectivity of amygdala with medial orbitofrontal cortex (MOFC) and lateral orbitofrontal cortex (LOFC) differentiates the perception of emotion faces in a manner consistent with the dimensional and/or categorical view. Greater effective connectivity from left MOFC to amygdala differentiated positive and neutral expressions from negatively valenced angry, disgust, and fear expressions. Greater effective connectivity from right LOFC to amygdala differentiated emotion expressions conducive to perceiver approach (happy, neutral, and fear) from angry expressions that elicit perceiver withdrawal. Finally, consistent with the categorical view, there were unique patterns of connectivity in response to fear, anger, and disgust, although not in response to happy expressions, which did not differ from neutral ones. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Australia | 1 | 2% |
| Austria | 1 | 2% |
| Unknown | 55 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 30% |
| Researcher | 12 | 20% |
| Student > Master | 6 | 10% |
| Professor > Associate Professor | 4 | 7% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 15 | 25% |
| Medicine and Dentistry | 8 | 13% |
| Neuroscience | 8 | 13% |
| Agricultural and Biological Sciences | 6 | 10% |
| Computer Science | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 16 | 26% |