Computational Neuropsychiatry - Schizophrenia as a Cognitive Brain Network Disorder
Name
Dauvermann-2014-Computational Neurop.pdf
Size
1.32 MB
Format
Adobe PDF
Checksum (MD5)
a98ae0bc8db19ed32836e16ae3764d3b
Author(s)
Dauvermann, Maria R.
Whalley, Heather C.
Schmidt, Andre
Lee, Graham
Romaniuk, Liana
Roberts, Neil
Johnstone, Eve C.
Lawrie, Stephen M.
Moorhead, Thomas W. J.
Date Issued
March 2014
Journal
Frontiers in Psychiatry
Publisher
Frontiers Research Foundation
Citation
Dauvermann, Maria R., Heather C. Whalley, André Schmidt, Graham L. Lee, Liana Romaniuk, Neil Roberts, Eve C. Johnstone, Stephen M. Lawrie, and Thomas W. J. Moorhead. “Computational Neuropsychiatry - Schizophrenia as a Cognitive Brain Network Disorder.” Frontiers in Psychiatry 5 (March 25, 2014).
Version
Final published version
Abstract
Computational modeling of functional brain networks in fMRI data has advanced the understanding of higher cognitive function. It is hypothesized that functional networks mediating higher cognitive processes are disrupted in people with schizophrenia. In this article, we review studies that applied measures of functional and effective connectivity to fMRI data during cognitive tasks, in particular working memory fMRI studies. We provide a conceptual summary of the main findings in fMRI data and their relationship with neurotransmitter systems, which are known to be altered in individuals with schizophrenia. We consider possible developments in computational neuropsychiatry, which are likely to further our understanding of how key functional networks are altered in schizophrenia.
MIT Department
McGovern Institute for Brain Research at MIT
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3389/fpsyt.2014.00030
