Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016

TL;DR

This workshop discusses recent advances in brain connectivity analysis using network theory, emphasizing new computational methods, validation techniques, and the impact of data processing variations in connectomics research.

Contribution

It highlights the development and evaluation of novel analytic techniques for brain connectome analysis and addresses challenges in standardization and validation.

Findings

Introduction of new network-based analysis methods

Evaluation of existing connectome analysis techniques

Insights into the effects of pre-processing variations

Abstract

Understanding brain connectivity in a network-theoretic context has shown much promise in recent years. This type of analysis identifies brain organisational principles, bringing a new perspective to neuroscience. At the same time, large public databases of connectomic data are now available. However, connectome analysis is still an emerging field and there is a crucial need for robust computational methods to fully unravelits potential. This workshop provides a platform to discuss the development of new analytic techniques; methods for evaluating and validating commonly used approaches; as well as the effects of variations in pre-processing steps.