UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

What Does Brain Response to Neutral Faces Tell Us about Major Depression? Evidence from Machine Learning and fMRI.

Oliveira, L; Ladouceur, CD; Phillips, ML; Brammer, M; Mourao-Miranda, J; (2013) What Does Brain Response to Neutral Faces Tell Us about Major Depression? Evidence from Machine Learning and fMRI. PLoS One , 8 (4) , Article e60121. 10.1371/journal.pone.0060121. Green open access

[thumbnail of journal.pone.0060121.pdf]
Preview
PDF
journal.pone.0060121.pdf

Download (513kB)

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.

Type: Article
Title: What Does Brain Response to Neutral Faces Tell Us about Major Depression? Evidence from Machine Learning and fMRI.
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0060121
Publisher version: http://dx.doi.org/10.1371/journal.pone.0060121
Language: English
Additional information: © 2013 Oliveira et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. PMCID: PMC3613341
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1389746
Downloads since deposit
125Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item