Abstract

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The Image Data Acquisition (IDA) CORE provides state-of-the art protocols and technology which can support a large clinical study and will be applied to the individual projects. Three developments will be highlighted here. Dr. Stefan Posse is responsible for directing the IDA CORE and developing advanced MR data acquisition methods. Dr. Charles Gasparovic is responsible for the development of MR spectroscopic imaging (MRSI) data acquisition and analysis methods, which support Project 4 (Jung, PI). Dr. Cheryl Aine is responsible for MEG/EEG methods, which are utilized in Projects 1-3 (Mayer, Stephen, Hanlon, PIs).

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Exploratory Grants (P20)
Project #
5P20RR021938-03
Application #
8167721
Study Section
National Center for Research Resources Initial Review Group (RIRG)
Project Start
2010-07-01
Project End
2011-06-30
Budget Start
2010-07-01
Budget End
2011-06-30
Support Year
3
Fiscal Year
2010
Total Cost
$129,860
Indirect Cost

  Institution

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

  Publications

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
Edgar, J C; Fisk 4th, Charles L; Chen, Yu-Han et al. (2018) Identifying auditory cortex encoding abnormalities in schizophrenia: The utility of low-frequency versus 40 Hz steady-state measures. Psychophysiology 55:e13074
Thoma, Robert J; Haghani Tehrani, Poone; Turner, Jessica A et al. (2018) Neuropsychological analysis of auditory verbal hallucinations. Schizophr Res 192:459-460

Showing the most recent 10 out of 151 publications