Abstract

The Biostatistics &Neuroinformatics (BNI) Core serves as a centralized resource for biostatistical consulting and data management for all scientific projects proposed in this application. The core serves as a resource for data management and quality control, through a set of comprehensive neuroinformatics tools. The core personnel provide support to each of the junior principal investigators (PI) at all levels of investigation, beginning with the formulation of specific hypotheses, reviewing the design of studies, and evaluating the utility of measurement techniques. Support and consultation continues with the interpretation, presentation, and publication of the results, as well as throughout the grant application process.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
5P20GM103472-07
Application #
8708148
Study Section
Special Emphasis Panel (ZGM1-TWD-Y)
Project Start
Project End
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
7
Fiscal Year
2014
Total Cost
$165,561
Indirect Cost
$56,301

  Institution

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

  Publications

van Erp, Theo G M; Walton, Esther; Hibar, Derrek P et al. (2018) Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biol Psychiatry 84:644-654
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
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
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; Calhoun, Vince (2018) Effect of Spatial Smoothing on Task fMRI ICA and Functional Connectivity. Front Neurosci 12:15
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
Chen, Zikuan; Robinson, Jennifer; Calhoun, Vince (2018) Brain functional BOLD perturbation modelling for forward fMRI and inverse mapping. PLoS One 13:e0191266
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
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

Showing the most recent 10 out of 222 publications