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

Antony Browne, Angela Jakary, Sophia Vinogradov, Yu Fu, Raymond F. Deicken

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationInternational Joint Conference on Neural Networks 2006, IJCNN '06
Pages97-101
Number of pages5
StatePublished - Dec 1 2006
EventInternational Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada
Duration: Jul 16 2006Jul 21 2006

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)1098-7576

Other

OtherInternational Joint Conference on Neural Networks 2006, IJCNN '06
CountryCanada
CityVancouver, BC
Period7/16/067/21/06

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    Browne, A., Jakary, A., Vinogradov, S., Fu, Y., & Deicken, R. F. (2006). Using neural networks with automatic relevance determination to identify regions of the thalamus implicated in schizophrenia. In International Joint Conference on Neural Networks 2006, IJCNN '06 (pp. 97-101). [1716076] (IEEE International Conference on Neural Networks - Conference Proceedings).