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OpenAxon is an initiative of the University of Alabama at Birmingham Consortium for Neuroengineering and Brain Computer Interfaces.Â
About Us
About Us
Welcome to OpenAxon.io, your one-stop neuroscience gateway for researchers, engineers, students, and educators in the rapidly evolving field of neuroengineering. Our mission is to provide an integrated and user-friendly platform that accelerates scientific discovery, fosters collaboration, and drives innovation in the neuroscience community.
We understand the importance of seamless access to cutting-edge tools, resources, and data in advancing neuroengineering research. That's why we are developing a comprehensive platform that brings together a wide array of neuroengineering tools and resources, ranging from data repositories and analysis software to neural interface technologies and neuromorphic computing systems.
We are passionate neuroscientists, engineers, and software developers dedicated to the growth of neuroengineering research. We are committed to maintaining an open and collaborative environment where users can access, analyze, and visualize data, share their findings, and learn from one another.
Dr. Bentley's Vision
Dr. Bentley's Vision
Need
Need
The goal of this project is to combine the vast amount of data generated by many entities within UAB Neurosciences into a composite data repository that will facilitate Big Data analyses. In 2021 a Brain Computer Interface Special Interest Group (BCI-SIG) was developed as part of the Neuroengineering and Brain Computer Interface Initiative (NBCI). The Executive Planning Committee, chaired by Dr. James Markert of Neurosurgery, includes the chairs, deans, and program directors from Neurosurgery, Neurology, Neurobiology, Biomedical Engineering, School of Engineering, School of Health Professions, the Neuroengineering PhD program, and other leaders. The BCI-SIG determined that a major unmet need is an interface across clinical domains and basic science laboratories for collaborators to access and analyze our rich and complex datasets. For example, each year, the neuromodulation group performs over 150 awake craniotomies, producing electrophysiological, clinical, behavioral, cognitive, imaging, financial, and other data. While these data streams could be highly useful for other domains (neural engineering, neuroimaging, neurobiology), the datasets are currently stored in isolated repositories that are inaccessible for shared use. Moreover, there is no standard process for defining, storing, and auditing the data. This workflow severely limits collaboration. An integrated system could greatly accelerate development of high-impact research projects.
Solution
Solution
Our proposal will address this need by creating an integrated data system (IDS) enabling cross-domain use of multi-disciplinary data, adding tremendous value to the NBCI Initiative and UAB. We will first build the IDS in the neuromodulation domain as this serves both the clinical and basic sciences. We will standardize data entry, ensure privacy and security, and establish scalability to other domains. Importantly, the IDS will relate datasets sourced from existing platforms (e.g., IDX, HealthQuest, i2b2). The end product will be a Neuroscience Gateway, with a front-end web interface supported by back-end high-performance research computing and the IDS as its core. Once created, long-term sustainability will be achieved by 1) user fees, 2) extramural funding (ex. NIH U24 grant), and 3) remote monitoring reimbursement. This system will have a broad impact by facilitating collaboration on large grant applications (e.g., NIH BRAIN Initiative, NSF NeuroNex, NSF Engineering Research Center) and providing strategic support of the Neurosciences, BCI, and Big Data/Data Science initiatives.
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