Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia
Browne, Anthony, Jakary, Angela, Vinogradov, Sophia, Fu, Yu and Deicken, Raymond (2008) Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia IEEE Transactions on Neural Networks, 19 (6). pp. 1101-1107.
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.
|Divisions :||Faculty of Engineering and Physical Sciences > Computing Science|
|Date :||1 January 2008|
|Identification Number :||10.1109/TNN.2008.2000203|
|Additional Information :||Browne, A., Jakary, A., Vinogradov, S., Fu, Y., and Deicken, R. F. (2008) Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia. IEEE Transactions on Neural Networks, Vol. 19, Iss. 6, pp. 1101-1107. ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Depositing User :||Mr Adam Field|
|Date Deposited :||27 May 2010 14:44|
|Last Modified :||23 Sep 2013 18:35|
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