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