DocumentCode :
2765791
Title :
Using Neural Networks with Automatic Relevance Determination to Identify Regions of the Thalamus Implicated in Schizophrenia
Author :
Browne, A.
Author_Institution :
Surrey Univ., Guildford
fYear :
0
fDate :
0-0 0
Firstpage :
97
Lastpage :
101
Abstract :
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.
Keywords :
brain; medical diagnostic computing; neural nets; neurophysiology; patient diagnosis; automatic relevance determination; in-vivo proton magnetic resonance spectroscopic imaging; mediodorsal nucleus; metabolite N-acetylaspartate; neural networks; pathophysiology; schizophrenia; thalamus; Biological neural networks; Biomedical imaging; Brain; Intelligent networks; Magnetic resonance; Magnetic resonance imaging; Neural networks; Protons; Psychiatry; Spectroscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
Type :
conf
DOI :
10.1109/IJCNN.2006.246665
Filename :
1716076
Link To Document :
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