Towards a network theory of cognition
Neural Networks - Special issue on the global brain: imaging and modelling
Assessing interactions among neuronal systems using functional neuroimaging
Neural Networks - Special issue on the global brain: imaging and modelling
Neural Networks - Special issue: Neuroinformatics
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)
Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Conditional Correlation as a Measure of Mediated Interactivity in fMRI and MEG/EEG
IEEE Transactions on Signal Processing
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
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A large-scale brain network can be defined as a set of segregated and integrated regions, that is, distant regions that share strong anatomical connections and functional interactions. Data-driven investigation of such networks has recently received a great deal of attention in blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI). We here review the rationale for such an investigation, the methods used, the results obtained, and also discuss some issues that have to be faced for an efficient exploration.