Robust Analysis Methods

Robust analysis methods

Valid and reliable methods are the cornerstone of progress in cognitive neuroscience, which is why our lab spends a lot of time on verifying methods with simulations and developing new methods when needed. Examples of previous projects related to this topic are: the development of a new method for identifying state transitions in fMRI data with naturalistic stimuli; work on an alternative method for cluster-based multiple comparison corrections in fMRI; identifying optimal pipelines for functional connectivity analyses that are aimed at studying inter-individual variability and introducing a multivariate connectivity measure that is more reliable and robust than the traditional univariate Pearson correlation measure.