By Topic

Using neural networks with automatic relevance determination to identify regions of the thalamus implicated in schizophrenia

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
A. Browne ; Department of Computer Science, University of Surrey, Guildford, UK ; A. Jakary ; S. Vinogradov ; Yu Fu
more authors

Abnormalities of the thalamus may contribute to the pathophysiology of schizophrenia. Several studies have found the thalamus to be altered in schizophrenia, and the thalamus has connections with other brain structures implicated in the disorder. This work examined thalamic levels of the metabolite N-acetylaspartate (NAA), taken from schizophrenics and controls using in-vivo proton magnetic resonance spectroscopic imaging. Neural networks were trained on this data, and automatic relevance determination (ARD) identified NAA group differences in the pulvinar and mediodorsal nucleus, underscoring the importance of examining thalamic subregions in schizophrenia.

Published in:

The 2006 IEEE International Joint Conference on Neural Network Proceedings

Date of Conference:

16-21 July 2006