A novel meta-analytic approach: Mining frequent co-activation patterns in neuroimaging databases

Julian Caspers, Karl Zilles, Christoph Beierle, Claudia Rottschy, Simon B. Eickhoff
2014 NeuroImage  
In recent years, coordinate-based meta-analyses have become a powerful and widely used tool to study coactivity across neuroimaging experiments, a development that was supported by the emergence of large-scale neuroimaging databases like BrainMap. However, the evaluation of coactivation patterns is constrained by the fact that previous coordinate-based meta-analysis techniques like Activation Likelihood Estimation (ALE) and Multilevel Kernel Density Analysis (MKDA) reveal all brain regions that
more » ... show convergent activity within a dataset without taking into account actual within-experiment co-occurrence patterns. To overcome this issue we here propose
doi:10.1016/j.neuroimage.2013.12.024 pmid:24365675 pmcid:PMC4981640 fatcat:4ilkwknjbzd37iu4wxnos2ue5i