Neuroscience Cloud Platform Drives Scientific Collaboration – a free cloud platform for secure neuroscience data analysis – has initiated new studies on childhood brain development. With their proprietary software, scientists are able to perform cutting-edge analyses and integrate their neurophysiological data with MRI-based data. Brainlife is working to bring a new suite of tools to allow integration of other data such as EEG, MEG, and MRI results.

Neuroscientists, like Franco Pestilli, are interested in how the biological computations of the brain change over longer periods. In one example, they looked at how the brain changes as we lose our vision and found there is a change in the brain’s white matter. This type of research requires the complex processing and analysis of massive loads of data. Cloud technologies have been developed to automate or at least ease this analysis process. 

Pestilli received a grant from the BRAIN initiative back in 2017 to launch Brainlife offers a computing platform that can support reproducible research on the cloud. Which means that scientists worldwide can access, upload, analyze, and share the results of their data. The platform services a range of scientists, from psychologists to neuroscientists, and has over 600 data processing tools. Not only can it help to process data, but it tracks every detail that happens to the data helping to track overarching trends. As more scientists join the platform, the platform gains expertise and development mechanisms. It’s these collaborations that have brought about the integration of MRI-based data and the proper analyses needed to connect these across to neurophysiological data. 

In addition to expanding the integration of EEG, MEG, and MRI results, Brainlife also aims to create a national infrastructure with a registry for permanent data and analyses records. As the platform grows, so does the need for integration of hardware and software to support the tremendous database

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