Journal article
Auditory Oddball Deficits in Schizophrenia: An Independent Component Analysis of the fMRI Multisite Function BIRN Study
Schizophrenia bulletin, Vol.35(1), pp.67-81
01/2009
DOI: 10.1093/schbul/sbn133
PMCID: PMC2643962
PMID: 19074498
Abstract
Deficits in the connectivity between brain regions have been suggested to play a major role in the pathophysiology of schizophrenia. A functional magnetic resonance imaging (fMRI) analysis of schizophrenia was implemented using independent component analysis (ICA) to identify multiple temporally cohesive, spatially distributed regions of brain activity that represent functionally connected networks. We hypothesized that functional connectivity differences would be seen in auditory networks comprised of regions such as superior temporal gyrus as well as executive networks that consisted of frontal-parietal areas. Eight networks were found to be implicated in schizophrenia during the auditory oddball paradigm. These included a bilateral temporal network containing the superior and middle temporal gyrus; a default-mode network comprised of the posterior cingulate, precuneus, and middle frontal gyrus; and multiple dorsal lateral prefrontal cortex networks that constituted various levels of between-group differences. Highly task-related sensory networks were also found. These results indicate that patients with schizophrenia show functional connectivity differences in networks related to auditory processing, executive control, and baseline functional activity. Overall, these findings support the idea that the cognitive deficits associated with schizophrenia are widespread and that a functional connectivity approach can help elucidate the neural correlates of this disorder.
Details
- Title: Subtitle
- Auditory Oddball Deficits in Schizophrenia: An Independent Component Analysis of the fMRI Multisite Function BIRN Study
- Creators
- Dae Il Kim - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131D.H Mathalon - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131J.M Ford - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131M Mannell - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131J.A Turner - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131G.G Brown - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131A Belger - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131R Gollub - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131J Lauriello - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131C Wible - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131D O'Leary - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131K Lim - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131A Toga - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131S.G Potkin - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131F Birn - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131V.D Calhoun - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131
- Resource Type
- Journal article
- Publication Details
- Schizophrenia bulletin, Vol.35(1), pp.67-81
- DOI
- 10.1093/schbul/sbn133
- PMID
- 19074498
- PMCID
- PMC2643962
- NLM abbreviation
- Schizophr Bull
- ISSN
- 0586-7614
- eISSN
- 1745-1701
- Publisher
- Oxford University Press
- Language
- English
- Date published
- 01/2009
- Academic Unit
- Psychiatry
- Record Identifier
- 9984003440902771
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