NIH Funding Opportunity for Neuroimaging Data Secondary Analysis
The National Institutes of Health (NIH) have announced a funding opportunity for projects that will conduct secondary analysis of existing data from the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative. The BRAIN Initiative aims to develop technologies that help researchers understand neural networks for the treatment and prevention of brain disorders. NIH intends to commit an estimated total of $4 million to fund 8 awards in fiscal year 2020.
Cognitive neuroscientists and behavioral researchers can provide a valuable perspective to applicant teams involving scientists from other fields, such as statistics, engineering, and computer and information sciences. NIH encourages behavioral and clinical experts, businesses, and researchers from diverse backgrounds to apply.
NIH strives to support projects that will harmonize data from different repositories, use artificial intelligence to handle large datasets, or generate new hypotheses that would not be possible to test in studies of single experiments or in single laboratories. This funding opportunity requires research teams to deposit analysis results in data archives to allow research communities to compare results of analyses and promote studies that advance the BRAIN Initiative.
Applications will be accepted for a variety of research topics, including projects related to behavioral science, such as:
- Analyzing datasets to explore brain complexity through the course of development, or across the lifespan or neurobehavioral trajectories
- Exploring gene expression or neurological pathways that regulate cognition and behavior
- Using multi-scale modeling to explore how the dynamics of neural activity drive behavior, and how circuit dysfunction can result in behavior or create a disorder
To read the full funding opportunity solicitation, click here.
Applications are due September 6, 2019 and June 11, 2020. If interested, researchers must submit a letter of intent at least 30 days before the application deadline.
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