| Book Description | This volume presents a collection of peer-reviewed contributions arising from startup research: a stimulating research experience in which twenty-eight early-career researchers collaborated with seven senior international professors in order to develop novel statistical methods for complex brain imaging data. During this meeting, which was held on june 25-27, 2017 in siena (italy), the research groups focused on recent multimodality imaging datasets measuring brain function and structure, and proposed a wide variety of methods for network analysis, spatial inference, graphical modeling, multiple testing, dynamic inference, data fusion, tensor factorization, object-oriented analysis and others. The results of their studies are gathered here, along with a final contribution by michele guindani and marina vannucci that opens new research directions in this field. The book offers a valuable resource for all researchers in data science and neuroscience who are interested in the promising intersections of these two fundamental disciplines |
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