A study of facial expression in Parkinson's disease using a novel microcomputer-based method.
University of Adelaide, Department of Psychiatry, Royal Adelaide Hospital, South Australia.
The aim of this study was to compare the smiling behaviour of a group of Parkinson's disease sufferers with a control group of a similar age using a novel microcomputer-based approach, which utilises a mathematical model of the face to quantify facial expression. The findings indicate that the Parkinson's group differed from the control group in the frequency of smiling while watching a series of cartoons and in the degree of mouth opening during smiling. Both groups completed the Levine-Pilowsky Depression questionnaire, and patients with Parkinson's disease had significantly higher depression scores than those of the control group. Significant negative correlations between depression score and frequency of smiling, and depression score and inner eyebrow separation were also found.
CiteULike 
Complore 
Connotea 
Del.icio.us 
Digg 
Reddit 
Technorati What's this?
This article has been cited by other articles:
-
Watson, J. M.
(2004). From Interpretation to Identification: a History of Facial Images in the Sciences of Emotion. History of the Human Sciences
17: 29-51
[Abstract]
- Full Text (PDF)
- Submit a response
- Alert me when this article is cited
- Alert me when eLetters are posted
- Alert me if a correction is posted
Services
- Email this link to a friend
- Similar articles in this journal
- Similar articles in PubMed
- Add article to my folders
- Download to citation manager
- Request Permissions
Citing Articles
Google Scholar
PubMed
Bookmark with
Register for free content
The full back archive is now available for all BMJ Journals. Institutional subscribers may access the entire archive as part of their subscription. Personal subscribers will also have access to all content when logged in. Non-subscribers who register have free access to all articles published before 2006 right back to volume 1 issue 1. Register here to access the free archive of all BMJ Journals.
Don't forget to sign up for content alerts so you keep up to date with all the articles as they are published.
