This Center for Biomedical Research Excellence (COBRE) will examine the neural mechanisms of schizophrenia by integrating multiple neuroimaging methods with psychiatric and neuropsychological testing, and incorporating genetic testing. Its overarching theme is the study of schizophrenia as a disorder characterized by abnormalities in structural, functional, and effective connectivity between cortical and subcortical brain regions producing abnormalities in the integration of information across distributed brain circuits. The program is composed of four tightly integrated projects conceptualized as a hierarchy in which each independently investigates a major cognitive domain of dysfunction in schizophrenia, as identified by a panel of experts in a recent NIH-sponsored study. This dysfunction ranges from basic sensory to higher-order deficits, with attention, memory, concept formation and problem solving abilities (i.e., intelligence) listed among the top cognitive deficits that detrimentally effected patients with schizophrenia. The plan begins at a basic level of sensory processing (auditory sensory gating;Project 1), followed by multi-sensory integration (auditory and visual;Project 2), to working memory and relational memory integration (transverse patterning;Project 3), and, finally, generalized higher cognitive functioning (intelligence;Project 4). Plans provide for data collection on up to 100 of the same patients with schizophrenia (schizophrenia) and 100 healthy normal volunteers (HNV) and a centralized data processing stream that has been implemented and is already in use. Project 1 quantifies brain function and clinical pathology through multimodal imaging of sensory gating. Project 2 studies the neural mechanisms underlying auditory and visual integration in schizophrenia and HNV using magnetoencephalography (MEG), electroencephalography (EEG) combined with anatomical magnetic resonance imaging (MRI), and functional MRI (fMRI). Project 3 tests the fronto-temporal disconnection hypothesis in schizophrenia by addressing basic clinical and translational research questions. Project 4 addresses whether general cognitive functioning in schizophrenia is related to particular white matter, metabolic, and volumetric changes in subcortical gray- and white-matter regions suggestive of frontosubcortical disconnection. These projects will produce a wealth of information about the nature of antomic and functional misconnections in schizophrenia and how they relate to the manifestation of the illness. Overall, the committee recommended this outstanding application for five years of support with the budget as requested.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Exploratory Grants (P20)
Project #
5P20RR021938-02
Application #
7683225
Study Section
National Center for Research Resources Initial Review Group (RIRG)
Program Officer
Sayre, Michael
Project Start
2008-09-08
Project End
2013-06-30
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
2
Fiscal Year
2009
Total Cost
$2,347,537
Indirect Cost
Name
The Mind Research Network
Department
Type
DUNS #
098640696
City
Albuquerque
State
NM
Country
United States
Zip Code
87106
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
Sanfratello, Lori; Aine, Cheryl; Stephen, Julia (2018) Neuroimaging investigations of dorsal stream processing and effects of stimulus synchrony in schizophrenia. Psychiatry Res Neuroimaging :
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

Showing the most recent 10 out of 151 publications