This Phase II COBRE project is a natural extension of our Phase I COBRE on multimodal neuroimaging in schizophrenia. In the next evolution we will build on our success in Phase I to include a wider range of disease categories making the overarching theme of the Phase II COBRE the use of multimodal neuroimaging to better understand the neural mechanisms of psychosis and mood disorders. The Mind Research Network (MRN) houses an Elekta MEG System, a high density EEG lab, and a 3T Siemens Trio MRl scanner. Additional resources include a centralized neuroinformatics system, a strong IT management plan, and state-of-the-art image analysis tools. The Phase II COBRE will provide support to five outstanding junior investigators through the assistance of strong senior mentors. The five projects each focus on distinct, but related, aspects of psychosis and mood disorders. Project 1 will utilize advanced data fusion methods to evaluate the ability of multimodal brain imaging data to differentiate patient groups and to push beyond discrete diagnostic categories by identifying individuals in intermediate positions on the continuum. Project 2 is an expansion of the pilot genetic program from the Phase I to evaluate the shared and unique aspects of genetic influence on brain structural networks using advanced multivariate methods. Project 3 will focus on the lens of social cognition and evaluate functional networks in patients while perceiving facial and vocal emotions. The ability of both structural and functional networks to differentiate groups and predict outcomes will be evaluated. Project 4 will focus on auditory hallucinations using MEG and fMRI. Evaluation of the ability to predict hallucinations from the imaging data as well as the impact of transcranial direct current stimulation (tDCS) on the identified brain networks will be investigated. And finally, Project 5 will use a longitudinal desin to study brain networks related to major depression and relapse after treatment with electro-convulsive therapy (ECT). We will continue with the cores established during the Phase I project including administration, clinical assessment, and mentoring (ACAM), multimodal data acquisition (MDA), algorithm and data analysis (ADA), and biostatistics and neuro-informatics (BNI). These cores have begun to serve MRN and the greater community, as well as other institutions including extension collaborations with IDeA funded projects in New Mexico and other states. A highly successful pilot project program will be continued. We believe this Phase II COBRE is extremely well-positioned to establish New Mexico as one of the premier brain imaging sites. We include an extensive educational, mentoring, and faculty development program to carefully mentor and establish junior investigators as independently funded investigators, thus fulfilling the ultimate goals of the COBRE program.

Public Health Relevance

This Phase II COBRE project is a natural extension of our Phase I COBRE on multimodal neuroimaging in schizophrenia. We expand Phase I work (cognitive functioning) to include interpersonal functioning (i.e., social cognition), the neuronal basis of hallucinations, and most importantly treatment response across a spectrum of disorders (SZ, BP and major depression). Our projects will utilize advanced approaches to identify biomarkers and to evaluate their predictive utility.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
5P20GM103472-08
Application #
8851619
Study Section
Special Emphasis Panel (ZGM1-TWD-Y (C2))
Program Officer
Caldwell, Sheila
Project Start
2008-09-08
Project End
2018-04-30
Budget Start
2015-05-01
Budget End
2016-04-30
Support Year
8
Fiscal Year
2015
Total Cost
$2,402,180
Indirect Cost
$683,932
Name
The Mind Research Network
Department
Type
DUNS #
098640696
City
Albuquerque
State
NM
Country
United States
Zip Code
87106
Alam, Md Ashad; Lin, Hui-Yi; Deng, Hong-Wen et al. (2018) A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia. J Neurosci Methods 309:161-174
Chen, Jiayu; Hutchison, Kent E; Bryan, Angela D et al. (2018) Opposite Epigenetic Associations With Alcohol Use and Exercise Intervention. Front Psychiatry 9:594
Chen, Zikuan; Calhoun, Vince (2018) Effect of Spatial Smoothing on Task fMRI ICA and Functional Connectivity. Front Neurosci 12:15
Anderson, Nathaniel E; Harenski, Keith A; Harenski, Carla L et al. (2018) Machine learning of brain gray matter differentiates sex in a large forensic sample. Hum Brain Mapp :
Chen, Zikuan; Robinson, Jennifer; Calhoun, Vince (2018) Brain functional BOLD perturbation modelling for forward fMRI and inverse mapping. PLoS One 13:e0191266
Liu, Jingyu; Chen, Jiayu; Perrone-Bizzozero, Nora I et al. (2018) Regional enrichment analyses on genetic profiles for schizophrenia and bipolar disorder. Schizophr Res 192:240-246
Walton, E; Hibar, D P; van Erp, T G M et al. (2018) Prefrontal cortical thinning links to negative symptoms in schizophrenia via the ENIGMA consortium. Psychol Med 48:82-94
Plis, Sergey M; Amin, Md Faijul; Chekroud, Adam et al. (2018) Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia. Neuroimage 181:734-747
Marusak, Hilary A; Elrahal, Farrah; Peters, Craig A et al. (2018) Mindfulness and dynamic functional neural connectivity in children and adolescents. Behav Brain Res 336:211-218
Sui, Jing; Qi, Shile; van Erp, Theo G M et al. (2018) Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion. Nat Commun 9:3028

Showing the most recent 10 out of 222 publications