DocumentCode :
1136451
Title :
Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia
Author :
Browne, Antony ; Jakary, Angela ; Vinogradov, Sophia ; Fu, Yu ; Deicken, Raymond F.
Author_Institution :
Comput. Dept., Univ. of Surrey, Guildford
Volume :
19
Issue :
6
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
1101
Lastpage :
1107
Abstract :
There have been many theories about and computational models of the Schizophrenic disease state. Brain imaging techniques have suggested that 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 paper describes an experiment examining thalamic levels of the metabolite N-acetylaspartate (NAA), taken from schizophrenics and controls using in vivo proton magnetic resonance spectroscopic imaging. Automatic relevance determination was performed on neural networks trained on this data, identifying NAA group differences in the pulvinar and mediodorsal nucleus, underscoring the importance of examining thalamic subregions in schizophrenia.
Keywords :
biomedical MRI; brain; learning (artificial intelligence); magnetic resonance spectroscopy; neural nets; Schizophrenic disease; automatic relevance determination; brain imaging techniques; in vivo proton magnetic resonance spectroscopic imaging; mediodorsal nucleus; metabolite N-acetylaspartate; neural networks; pathophysiology; thalamic regions; Aspartic Acid; Brain Mapping; Choline; Humans; Image Processing, Computer-Assisted; Linear Models; Magnetic Resonance Spectroscopy; Male; Nerve Net; Protons; Schizophrenia; Thalamus;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2008.2000203
Filename :
4493273
Link To Document :
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