General
publicado em 31/08/2012 às 15h06:00
   Dê o seu voto:

Analysis of the eye movement in front of the TV allows disease diagnosis

Technique may be more accurate option for Parkinson's diagnosis in the elderly and attention deficit in children

 
font size
A-
A+

Researchers at USC have devised a method for detecting certain neurological disorders through the study of eye movements.

In a study published today in the Journal of Neurology, researchers claim that because Attention Deficit Hyperactivity Disorder (ADHD), Fetal Alcohol Spectrum Disorder (FASD) and Parkinson' s Disease each involve ocular control and attention dysfunctions, they can be easily identified through an evaluation of how patients move their eyes while they watch television.

" Natural attention and eye movement behavior like a drop of saliva contains a biometric signature of an individual and her/his state of brain function or dysfunction," the article states. " Such individual signatures, and especially potential biomarkers of particular neurological disorders which they may contain, however, have not yet been successfully decoded."

Typical methods of detection clinical evaluation, structured behavioral tasks and neuroimaging are costly, labor-intensive and limited by a patient' s ability to understand and comply with instructions.

To solve this problem, doctoral student Po-He Tseng and Professor Laurent Itti of the Department of Computer Science at the USC Viterbi School of Engineering, along with collaborators at Queen' s University in Canada, have devised a new screening method.

Participants in the study were simply instructed to " watch and enjoy" television clips for 20 minutes while their eye movements were recorded. Eye-tracking data was then combined with normative eye-tracking data and a computational model of visual attention to extract 224 quantitative features, allowing the team to use new machine-learning techniques to identify critical features that differentiated patients from control subjects.

With eye movement data from 108 subjects, the team was able to identify older adults with Parkinson' s Disease with 89.6 percent accuracy, and children with either ADHD or FASD with 77.3 percent accuracy.

Providing new insights into which aspects of attention and gaze control are affected by specific disorders, the team' s method provides considerable promise as an easily deployed, low-cost, high-throughput screening tool, especially for young children and elderly populations who may be less compliant to traditional tests.

" For the first time, we can actually decode a person' s neurological state from their everyday behavior, without having to subject them to difficult or time-consuming tests," Itti said.

Source: Isaude.net
   Palavras-chave:   Eye movement    Eye movement    University of Southern California    Po-He Tseng   
  • Share this pageShare this page
  • Share this pageCorrect
  • ShareShare
  • AlertAlert
Reduced link: 
  • You are recommending this story: Analysis of the eye movement in front of the TV allows disease diagnosis
  • Fill in the following form to send your recommendation to your friend:

  • You are suggesting a correction for this story: Analysis of the eye movement in front of the TV allows disease diagnosis


Receba notícias do iSaúde no seu e-mail de acordo com os assuntos de seu interesse.
Seu nome:
Seu email:
Desejo receber um alerta com estes assuntos:
Eye movement    eye movement    University of Southern California    Po-He Tseng   
Comments:
Comment
Leave your comment
Close
(Required fields are marked with an *)

(Your email address will never be published or shared.)

Enter the letters and numbers below and click in the button "send"

  • Twitter iSaúde
advertising
Informe Saúde printed version

Recommend the portal
Close [X]
  • You are recommending this story: http://www.isaude.net
  • Fill in the following form to send your recommendation to your friend:

RSS news from the portal  iSaúde.net
Get the newsletter of the portal  iSaúde.net
Recommend the portal iSaúde.net
News from  iSaúde.net in your blog or website.
Get news on the subject of your interest.
© 2000-2011 www.isaude.net Todos os direitos reservados.