The administrative core (ACAM) will function in an overall supervisory capacity for the COBRE. It is comprised of both internal and external advisory boards, as well as the mentors and core directors. The ACAM core will be directed by Dr. Vince Calhoun, the PI for the current proposal. It will also operate under the supervision of two well-respected psychiatric clinicians: Drs. Juan Bustillo and Jose Canive. Dr. Perrone-Bizzozero, an established neuroscientist and educator, will coordinate the educational plan. Drs. Jeff Lieberman, MD and Charles Bowden, MD will serve as consultants. The core director will coordinate the duties and goals of the ACAM members, focused on three aims: 1) to coordinate all the specific budgetary, regulatory and personnel issues involved in the four cores and five individual projects;2) to recruit subjects for projects 3 to 5 and manage the acquisition of all clinical, neuropsychological, genetic and demographic data;and 3) to implement a faculty development plan for the junior Pis, facilitate their interactions with internal and external mentors, and monitor the specific milestones of the mentoring plans. A long-term aim of this core is to expand the capability of our facilities and further develop a diversified neuroimaging research environment that will continue to be competitive nationally and internationally. This will strengthen the mentorship opportunities for junior investigators, post-doctoral fellows and graduate students who work in the New Mexico environment. We believe that through the support of the COBRE phase II, our cohesive and collaborative program of interdisciplinary and translational research can be leveraged into a P50-level center grant which will be submitted approximately 3 years after the start of the Phase II award. Hence, this Phase II core is essential for the overall success of our New Mexico program on multimodal imaging of psychotic and mood disorders. PHS

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Exploratory Grants (P20)
Project #
Application #
Study Section
Special Emphasis Panel (ZGM1-TWD-Y)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
The Mind Research Network
United States
Zip Code
Miller, Robyn L; Yaesoubi, Maziar; Calhoun, Vince D (2016) Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy Controls. IEEE Signal Process Lett 23:1076-1080
Yu, Qingbao; Wu, Lei; Bridwell, David A et al. (2016) Building an EEG-fMRI Multi-Modal Brain Graph: A Concurrent EEG-fMRI Study. Front Hum Neurosci 10:476
Chen, Jiayu; Calhoun, Vince D; Pearlson, Godfrey D et al. (2016) Independent component analysis of SNPs reflects polygenic risk scores for schizophrenia. Schizophr Res :
Mayer, Andrew R; Hanlon, Faith M; Dodd, Andrew B et al. (2016) Proactive response inhibition abnormalities in the sensorimotor cortex of patients with schizophrenia. J Psychiatry Neurosci 41:312-21
Fink, Brandi C; Steele, Vaughn R; Maurer, Michael J et al. (2016) Brain potentials predict substance abuse treatment completion in a prison sample. Brain Behav 6:e00501
Nomi, Jason S; Farrant, Kristafor; Damaraju, Eswar et al. (2016) Dynamic functional network connectivity reveals unique and overlapping profiles of insula subdivisions. Hum Brain Mapp 37:1770-87
Hanlon, Faith M; Shaff, Nicholas A; Dodd, Andrew B et al. (2016) Hemodynamic response function abnormalities in schizophrenia during a multisensory detection task. Hum Brain Mapp 37:745-55
van Erp, T G M; Hibar, D P; Rasmussen, J M et al. (2016) Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry 21:547-53
Bridwell, David A; Rachakonda, Srinivas; Silva, Rogers F et al. (2016) Spatiospectral Decomposition of Multi-subject EEG: Evaluating Blind Source Separation Algorithms on Real and Realistic Simulated Data. Brain Topogr :
Xu, Jiansong; Potenza, Marc N; Calhoun, Vince D et al. (2016) Large-scale functional network overlap is a general property of brain functional organization: Reconciling inconsistent fMRI findings from general-linear-model-based analyses. Neurosci Biobehav Rev 71:83-100

Showing the most recent 10 out of 118 publications