The Neuroinformatics and Brain Connectivity (NBC) Laboratory focuses on characterizing activation within and between brain regions among healthy individuals and those diagnosed with neuropsychiatric disorders. With emphasis on development of data analysis algorithms, neuroscience informatics tools, and neuroimaging ontologies, the Lab’s mission is to enhance understanding of (dys)functional brain networks in health and disease. Improved understanding of such brain networks may impact educational trajectories for students (e.g., Exploring the Neural Mechanisms of Physics Learning), as well as treatment outcomes for patients (e.g., Impact of HIV and Cannabis on Brain Function). Through our various projects, the Lab aims to address real-world issues. If you would like to know more about specific projects, you are welcome to visit us on GitHub and the Open Science Framework.

ABCD: Adolescent Brain Cognitive Development "The largest long-term study of brain development and child health in the United States."

Physics Learning: Exploring the Neural Mechanisms of Physics Learning How does learning physics affect brains?	MMMM: My Mind & My Money Neural correlates of financial decision making.
HIV/Cannabis: Impact of HIV and Cannabis on Brain Function How do cannabis use and HIV infection impact the brain?	PACE: Neuroimaging meta-analytics for addiction- Nodes, networks, and new heuristics Better understanding the neurobiology of addiction through meta-analysis.
ACE: Antecedents and consequences of electronic nicotine delivery systems in underrepresented youth How does electronic cigarette use affect youths during development?	[PILOT] DIVA: Dense investigation of variability in affect What can we learn from dense sampling of individuals?

ATHENA: Integrative Knowledge Modeling in Cognitive Neuroimaging Can we automatically annotate the cognitive neuroscience literature?	metaCurious A new frontend for Brainspell and a resource to facilitate neuroimaging meta-analysis.
NiMARE: Neuroimaging Meta-Analysis Research Environment A Python package for neuroimaging meta-analysis that provides a shared syntax for a range for algorithms.	PyMARE: Python Meta-Analysis & Regression Engine A Python library for mixed-effects meta-regression (including meta-analysis).
The NeuroStore Ecosystem An interconnected set of open source tools for large-scale meta-analysis.

[PILOT] MIP: Motivation and Imaging Pilot How do adolescents perform effort-based decision making?

[PILOT] SEAAS: Social and Emotional Aspects of Academic Success How do individuals with high functioning autism spectrum disorder perform social processing?