This Phase III (P-III) COBRE project will extend the cores that have been successfully leveraged in our Phase I (P-I) and Phase II (P-II) COBRE projects and sustain these unique resources in New Mexico through the im- plementation of a business plan. Over the past eight years we have built up infrastructure and created a cutting edge brain imaging center, our P-II project is just over half-way through and is even more successful than our P- I was at this point in time. The Mind Research Network (MRN) houses an Elekta Neuromag 306-channel MEG System, a high density EEG lab, a 3T Siemens Trio MRI scanner, and a mobile 1.5T Siemens Avanto MRI scanner. Additional resources include a centralized neuroinformatics system, a strong IT management plan, and state-of-the-art image analysis expertise and tools. This P-III COBRE center will continue our momentum and move the cores we have developed into a position of long term sustainability. We will continue with the technical cores established during the P-II project including multimodal data acquisition (MDA), algorithm and data analy- sis (ADA), and biostatistics and neuro-informatics (BNI). These cores have begun to serve MRN and the greater community, as well as other institutions including extensive collaborations with IDeA funded projects in New Mexico and other states. We believe this P-III COBRE is extremely well-positioned to establish and sustain New Mexico as one of the premier brain imaging sites. We include an extensive pilot project program (PPP) that is built on the successful pilot programs implemented as part of the earlier COBRE phases. This includes an ex- tensive educational, mentoring, and faculty development program to carefully mentor and position faculty who use the cores to maximize their potential to successfully compete for external funding, thus fulfilling the ultimate goals of the COBRE program. 2

Public Health Relevance

This Phase III COBRE project is a natural extension of our Phase I and II COBRE projects which were cen- tered on mentoring individual researchers along with building the necessary infrastructure to support multimodal neuroimaging in mental illness. During this time, cutting-edge cores were developed that facilitated not only our local projects but also research at multiple institutions across New Mexico; the cores served as neuroimaging facilities and training centers for others to utilize. The Phase III project will ensure the sustainability of these cores as they transition to being fully funded by a broad cadre of users with various funding sources. We propose three technical cores including a multimodal data acquisition (MDA) core, an algorithm and data analysis (ADA) core, and a biostatistics and neuro-informatics (BNI) core. These cores have already shown their utility and have begun to be leveraged by users outside the COBRE. In addition, we propose a robust pilot project program (PPP) to continue to seed and enable new users of the cores to ultimately grow and sustain world class brain imaging research within our IDeA state, thus fulfilling the ultimate goals of the COBRE program. 1

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Center Core Grants (P30)
Project #
1P30GM122734-01
Application #
9281577
Study Section
Special Emphasis Panel (ZGM1)
Program Officer
Krasnova, Irina N
Project Start
2018-05-18
Project End
2023-04-30
Budget Start
2018-05-18
Budget End
2019-04-30
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
The Mind Research Network
Department
Type
DUNS #
098640696
City
Albuquerque
State
NM
Country
United States
Zip Code
87106
Bao, Chunhui; Liu, Peng; Liu, Huirong et al. (2018) Difference in regional neural fluctuations and functional connectivity in Crohn's disease: a resting-state functional MRI study. Brain Imaging Behav 12:1795-1803
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
Xiao, Li; Stephen, Julia M; Wilson, Tony W et al. (2018) Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction. IEEE Trans Biomed Eng :
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
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
Zille, Pascal; Calhoun, Vince D; Wang, Yu-Ping (2018) Enforcing Co-Expression Within a Brain-Imaging Genomics Regression Framework. IEEE Trans Med Imaging 37:2561-2571