30th August 2015
part of the 2015 International conference on Brain Informatics and Health
Brain connectivity network analysis has the potential to improve understanding of neural processes and neurological diseases. Large-scale imaging projects such as the (developing) Human Connectome are collecting vast imaging databases of brain connectivity data for young adults, neonates and fetuses. Using these studies to build a common brain connectome within a population would allow us to identify abnormal connectivity patterns and link them with environmental, cognitive or genetic knowledge.
At the era of Big Data and High Performance Computing, large scientific datasets made available to the public must be accompanied by original and efficient methods to process them, store them reliably and make them available to the widest number of scientists. This requires the development of tools and methods that not only allow sensible analysis on the single subject level, but also allow robust group-wise analysis.
The symposium is proudly sponsored by NeuroPro
