Automatic relevance determination for identifying thalamic regions implicated in schizophrenia.
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.
Computing Department, School of Engineering and Physical Sciences, University of Surrey, Guildford, Surrey GU2 7XH, U.K. a.browne@surrey.ac.uk
Antony
A
Browne
Angela
A
Jakary
Sophia
S
Vinogradov
Yu
Y
Fu
Raymond F
RF
Deicken
D001224:Aspartic Acid / Q000378:metabolism; D001931:Brain Mapping; D002794:Choline / Q000378:metabolism; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D009682:Magnetic Resonance Spectroscopy; D008297:Male; D009415:Nerve Net / Q000033:anatomy & histology / Q000503:physiopathology; D011522:Protons; D012559:Schizophrenia / Q000473:pathology*; D013788:Thalamus / Q000473:pathology*
D011522:Protons; D001224:Aspartic Acid; D002794:Choline