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Verbal working memory and functional large-scale networks in schizophrenia

Dauvermann, Maria R.
; 
Moorhead, Thomas WJ
; 
Watson, Andrew R.
; 
Duff, Barbara
; 
Romaniuk, Liana
; 
Hall, Jeremy
; 
Roberts, Neil
; 
Lee, Graham L.
; 
Hughes, Zoƫ A.
; 
Brandon, Nicholas J.
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Repository DOI
Publication Date
2017-12-01
Keywords
working memory, schizophrenia, functional magnetic resonance imaging, functional large-scale networks, nonlinear dynamic causal modeling, magnetic-resonance spectroscopy, ventral tegmental area, dynamic causal-models, dopamine-glutamate interactions, altered effective connectivity, prefrontal cortex neurons, synaptic plasticity, cognitive impairment, midbrain dopamine, gain modulation
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Article
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Citation
Dauvermann, Maria R. Moorhead, Thomas WJ; Watson, Andrew R.; Duff, Barbara; Romaniuk, Liana; Hall, Jeremy; Roberts, Neil; Lee, Graham L.; Hughes, Zoƫ A.; Brandon, Nicholas J.; Whitcher, Brandon; Blackwood, Douglas HR; McIntosh, Andrew M.; Lawrie, Stephen M. (2017). Verbal working memory and functional large-scale networks in schizophrenia. Psychiatry Research: Neuroimaging 270 , 86-96
Abstract
The aim of this study was to test whether bilinear and nonlinear effective connectivity (EC) measures of working memory fMRI data can differentiate between patients with schizophrenia (SZ) and healthy controls (HC). We applied bilinear and nonlinear Dynamic Causal Modeling (DCM) for the analysis of verbal working memory in 16 SZ and 21 HC. The connection strengths with nonlinear modulation between the dorsolateral prefrontal cortex (DLPFC) and the ventral tegmental area/substantia nigra (VTA/SN) were evaluated. We used Bayesian Model Selection at the group and family levels to compare the optimal bilinear and nonlinear models. Bayesian Model Averaging was used to assess the connection strengths with nonlinear modulation. The DCM analyses revealed that SZ and HC used different bilinear networks despite comparable behavioral performance. In addition, the connection strengths with nonlinear modulation between the DLPFC and the VTA/SN area showed differences between SZ and HC. The adoption of different functional networks in SZ and HC indicated neurobiological alterations underlying working memory performance, including different connection strengths with nonlinear modulation between the DLPFC and the VTA/SN area. These novel findings may increase our understanding of connectivity in working memory in schizophrenia.
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Publisher
Elsevier BV
Publisher DOI
10.1016/j.pscychresns.2017.10.004
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
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Externally hosted open access publications with University of Galway authors (2)