Journal article
Graph Metrics of Structural Brain Networks in Individuals with Schizophrenia and Healthy Controls: Group Differences, Relationships with Intelligence, and Genetics
Journal of the International Neuropsychological Society, Vol.22(2), pp.240-249
02/01/2016
DOI: 10.1017/S1355617715000867
PMID: 26888620
Abstract
Objectives: One of the most prominent features of schizophrenia is relatively lower general cognitive ability (GCA). An emerging approach to understanding the roots of variation in GCA relies on network properties of the brain. In this multi-center study, we determined global characteristics of brain networks using graph theory and related these to GCA in healthy controls and individuals with schizophrenia. Methods: Participants (N=116 controls, 80 patients with schizophrenia) were recruited from four sites. GCA was represented by the first principal component of a large battery of neurocognitive tests. Graph metrics were derived from diffusion-weighted imaging. Results: The global metrics of longer characteristic path length and reduced overall connectivity predicted lower GCA across groups, and group differences were noted for both variables. Measures of clustering, efficiency, and modularity did not differ across groups or predict GCA. Follow-up analyses investigated three topological types of connectivityconnections among high degree rich club nodes, feeder connections to these rich club nodes, and local connections not involving the rich club. Rich club and local connectivity predicted performance across groups. In a subsample (N=101 controls, 56 patients), a genetic measure reflecting mutation load, based on rare copy number deletions, was associated with longer characteristic path length. Conclusions: Results highlight the importance of characteristic path lengths and rich club connectivity for GCA and provide no evidence for group differences in the relationships between graph metrics and GCA.
Details
- Title: Subtitle
- Graph Metrics of Structural Brain Networks in Individuals with Schizophrenia and Healthy Controls: Group Differences, Relationships with Intelligence, and Genetics
- Creators
- Ronald A. Yeo - University of New MexicoSephira G. Ryman - University of New MexicoMartijn P. van den Heuvel - University Medical Center UtrechtMarcel A. de Reus - University Medical Center UtrechtRex E. Jung - University of New MexicoJessica Pommy - University of New MexicoAndrew R. Mayer - University of New MexicoStefan Ehrlich - Athinoula A. Martinos Center for Biomedical ImagingS. Charles Schulz - University of MinnesotaEric M. Morrow - Brown UniversityDara Manoach - Athinoula A. Martinos Center for Biomedical ImagingBeng-Choon Ho - University of IowaScott R. Sponheim - University of MinnesotaVince D. Calhoun - Mind Research Network
- Resource Type
- Journal article
- Publication Details
- Journal of the International Neuropsychological Society, Vol.22(2), pp.240-249
- DOI
- 10.1017/S1355617715000867
- PMID
- 26888620
- NLM abbreviation
- J Int Neuropsychol Soc
- ISSN
- 1355-6177
- eISSN
- 1469-7661
- Publisher
- Cambridge Univ Press
- Number of pages
- 10
- Grant note
- P20RR021938 / NATIONAL CENTER FOR RESEARCH RESOURCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Research Resources (NCRR) DE-FG02-08ER64581 / Department of Energy; United States Department of Energy (DOE) 5P20RR021938; 1RC1MH089257; R01EB005846 / National Institute Health RC1MH089257 / NATIONAL INSTITUTE OF MENTAL HEALTH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH) R01EB005846 / NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Biomedical Imaging & Bioengineering (NIBIB)
- Language
- English
- Date published
- 02/01/2016
- Academic Unit
- Psychiatry
- Record Identifier
- 9984280871902771
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