| Title |
What Does Brain Response to Neutral Faces Tell Us about Major Depression? Evidence from Machine Learning and fMRI
|
|---|---|
| Published in |
PLOS ONE, April 2013
|
| DOI | 10.1371/journal.pone.0060121 |
| Pubmed ID | |
| Authors |
Leticia Oliveira, Cecile D. Ladouceur, Mary L. Phillips, Michael Brammer, Janaina Mourao-Miranda |
| Abstract |
A considerable number of previous studies have shown abnormalities in the processing of emotional faces in major depression. Fewer studies, however, have focused specifically on abnormal processing of neutral faces despite evidence that depressed patients are slow and less accurate at recognizing neutral expressions in comparison with healthy controls. The current study aimed to investigate whether this misclassification described behaviourally for neutral faces also occurred when classifying patterns of brain activation to neutral faces for these patients. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 4 | 33% |
| Italy | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Ireland | 1 | <1% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| Taiwan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 156 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 17% |
| Researcher | 27 | 16% |
| Student > Master | 19 | 12% |
| Student > Bachelor | 14 | 8% |
| Student > Doctoral Student | 9 | 5% |
| Other | 33 | 20% |
| Unknown | 35 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 45 | 27% |
| Medicine and Dentistry | 16 | 10% |
| Computer Science | 15 | 9% |
| Neuroscience | 12 | 7% |
| Agricultural and Biological Sciences | 8 | 5% |
| Other | 20 | 12% |
| Unknown | 49 | 30% |