Abstract

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Project 4 proposes to use multimodal imaging to investigate whether general cognitive functioning in schizophrenia is related to circuit level white matter, metabolic, and volumetric changes in subcortical gray and white-matter regions suggestive of fronto-subcortical disconnection (Jung &Haier, 2007;Cummings 1993). Simultaneous utilization of Diffusion Tensor Imaging (DTI), proton magnetic resonance spectroscopy (1H-MRS), and structural Magnetic Resonance Imaging (sMRI) will allow us to relate white matter abnormalities to both cortical and subcortical metabolic and morphological changes that, in turn, may underlie ongoing neurocognitive decline in schizophrenia.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Exploratory Grants (P20)
Project #
5P20RR021938-04
Application #
8360225
Study Section
National Center for Research Resources Initial Review Group (RIRG)
Project Start
2011-07-01
Project End
2012-06-30
Budget Start
2011-07-01
Budget End
2012-06-30
Support Year
4
Fiscal Year
2011
Total Cost
$329,566
Indirect Cost

  Institution

Name
The Mind Research Network
Department
Type
DUNS #
098640696
City
Albuquerque
State
NM
Country
United States
Zip Code
87106

  Publications

Wu, Lei; Caprihan, Arvind; Bustillo, Juan et al. (2018) An approach to directly link ICA and seed-based functional connectivity: Application to schizophrenia. Neuroimage 179:448-470
Mennigen, Eva; Miller, Robyn L; Rashid, Barnaly et al. (2018) Reduced higher-dimensional resting state fMRI dynamism in clinical high-risk individuals for schizophrenia identified by meta-state analysis. Schizophr Res 201:217-223
Kong, Xiang-Zhen; Mathias, Samuel R; Guadalupe, Tulio et al. (2018) Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium. Proc Natl Acad Sci U S A 115:E5154-E5163
Faghiri, Ashkan; Stephen, Julia M; Wang, Yu-Ping et al. (2018) Changing brain connectivity dynamics: From early childhood to adulthood. Hum Brain Mapp 39:1108-1117
Orban, Pierre; Dansereau, Christian; Desbois, Laurence et al. (2018) Multisite generalizability of schizophrenia diagnosis classification based on functional brain connectivity. Schizophr Res 192:167-171
Du, Yuhui; Fu, Zening; Calhoun, Vince D (2018) Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging. Front Neurosci 12:525
Trapp, Cameron; Vakamudi, Kishore; Posse, Stefan (2018) On the detection of high frequency correlations in resting state fMRI. Neuroimage 164:202-213
Yu, Qingbao; Du, Yuhui; Chen, Jiayu et al. (2018) Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proc IEEE Inst Electr Electron Eng 106:886-906
Du, Yuhui; Fryer, Susanna L; Lin, Dongdong et al. (2018) Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study. Neuroimage Clin 17:335-346
Du, Yuhui; Fryer, Susanna L; Fu, Zening et al. (2018) Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. Neuroimage 180:632-645

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