The primary objective of this administrative supplement proposal is to transform the way dynamic functional brain network data is visualized, interpreted, and shared. There is a growing literature demonstrating the power of brain network analyses with more recent studies using dynamic brain network analyses to assess brain network changes over time. To generate functional brain networks, functional magnetic resonance (fMRI) data are processed to identify brain regions that are functionally connected. Dynamic brain network analyses yield ~ 200 brain networks for each study participant. These analyses result in extremely large datasets that are difficult to manage, visualize, and combine across studies. We propose to develop the methodology necessary to map dynamic brain network data into a standard 2-dimensional (2D) space to generate dynamic functional trajectories. An algorithm to map dynamic brain networks to this standard pace will be shared across brain imaging research studies. Data can then be viewed and interpreted in a consistent manner across studies allowing for direct comparison (including quantitative assessments) of results. This supplement is associated with the parent project ?Preventing Agricultural Chemical Exposure 5 (PACE5)? that is examining the effects of pesticide exposure on children of Latino farmworkers. The parent project will be collecting functional brain imaging, cognitive, and pesticide exposure data on 8-year old children at baseline and will follow the children for 2 years. Dynamic functional brain networks will be used to identify association with pesticide exposure and neurocognitive development. Ultimately this supplement will enhance data sharing across dynamic functional brain network studies and will enable us to combine data from the parent study of brain development in Latino children with data from existing databases and from ongoing or future studies examining the effects of environment exposure on brain development.
The specific aims of this supplement are:
Aim 1 : Develop an algorithm that will allow for embedding high-dimensional dynamic brain networks in 2- Aim 2: Evaluate and demonstrate the utility of dynamic trajectory comparisons across studies by combing data from our prior PACE study and the Human Connectome Project (HPC). To enable the scientific community to use these new methods, the algorithms for generating dynamic trajectories in standard space will be made openly available. The software and documentation will be deposited in NITRC (www.nitrc.org/). Dynamic trajectories from our study will be made available for integration with other research projects. The new methodology will increase the overall value of our study by allowing us to readily share our data with other investigators and integrate data from other studies into our analysis and interpretation.

Public Health Relevance

This administrative supplement will develop methods to standardize the data structure for dynamic functional brain network data. The methods will be made openly available to the scientific community to enhance data sharing across studies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Research Project (R01)
Project #
3R01ES008739-22S1
Application #
9848670
Study Section
Health Disparities and Equity Promotion Study Section (HDEP)
Program Officer
Thompson, Claudia L
Project Start
1996-09-30
Project End
2022-05-31
Budget Start
2019-08-01
Budget End
2020-05-31
Support Year
22
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Wake Forest University Health Sciences
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
937727907
City
Winston-Salem
State
NC
Country
United States
Zip Code
27157
Arcury, Thomas A; Chen, Haiying; Laurienti, Paul J et al. (2018) Farmworker and nonfarmworker Latino immigrant men in North Carolina have high levels of specific pesticide urinary metabolites. Arch Environ Occup Health 73:219-227
Quandt, Sara A; Groeschel-Johnson, Augusta; Kinzer, Hannah T et al. (2018) Migrant Farmworker Nutritional Strategies: Implications for Diabetes Management. J Agromedicine 23:347-354
Furgurson, Katherine F; Sandberg, Joanne C; Hsu, Fang-Chi et al. (2018) Cancer Knowledge Among Mexican Immigrant Farmworkers in North Carolina. J Immigr Minor Health :
Arcury, Thomas A; Sandberg, Joanne C; Talton, Jennifer W et al. (2018) Mental Health Among Latina Farmworkers and Other Employed Latinas in North Carolina. Rural Ment Health 42:89-101
Furgurson, Katherine F; Sandberg, Joanne C; Hsu, Fang-Chi et al. (2018) HPV Knowledge and Vaccine Initiation Among Mexican-Born Farmworkers in North Carolina. Health Promot Pract :1524839918764671
Pope, Carey N; Brimijoin, Stephen (2018) Cholinesterases and the fine line between poison and remedy. Biochem Pharmacol 153:205-216
Arcury, Thomas A; Laurienti, Paul J; Talton, Jennifer W et al. (2018) Pesticide Urinary Metabolites Among Latina Farmworkers and Nonfarmworkers in North Carolina. J Occup Environ Med 60:e63-e71
Kim, Sunwook; Nussbaum, Maury A; Laurienti, Paul J et al. (2018) Exploring Associations Between Postural Balance and Levels of Urinary Organophosphorus Pesticide Metabolites. J Occup Environ Med 60:174-179
Sandberg, Joanne C; Rodriguez, Guadalupe; Howard, Timothy D et al. (2017) ""He Beat You in the Blood"": Knowledge and Beliefs About the Transmission of Traits Among Latinos from Mexico and Central America. J Immigr Minor Health 19:170-178
Quandt, Sara A; Walker, Francis O; Talton, Jennifer W et al. (2017) Olfactory Function in Latino Farmworkers Over 2 Years: Longitudinal Exploration of Subclinical Neurological Effects of Pesticide Exposure. J Occup Environ Med 59:1148-1152

Showing the most recent 10 out of 72 publications