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

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

Psychiatry & Behavioral Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 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 language	English (US)
Title of host publication	International Joint Conference on Neural Networks 2006, IJCNN '06
Pages	97-101
Number of pages	5
State	Published - Dec 1 2006
Event	International Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada Duration: Jul 16 2006 → Jul 21 2006

Publication series

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

Other

Other	International Joint Conference on Neural Networks 2006, IJCNN '06
Country/Territory	Canada
City	Vancouver, BC
Period	7/16/06 → 7/21/06

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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). Article 1716076 (IEEE International Conference on Neural Networks - Conference Proceedings).

Using neural networks with automatic relevance determination to identify regions of the thalamus implicated in schizophrenia. / Browne, Antony; Jakary, Angela; Vinogradov, Sophia et al.
International Joint Conference on Neural Networks 2006, IJCNN '06. 2006. p. 97-101 1716076 (IEEE International Conference on Neural Networks - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Browne, A, Jakary, A, Vinogradov, S, Fu, Y & Deicken, RF 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., 1716076, IEEE International Conference on Neural Networks - Conference Proceedings, pp. 97-101, International Joint Conference on Neural Networks 2006, IJCNN '06, Vancouver, BC, Canada, 7/16/06.

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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.",

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AB - 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.

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

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