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A comparison of permutation and parametric testing for between group effective connectivity differences using DCM., , , , , , and . NeuroImage, 50 (2): 509-515 (2010)Standardized structural magnetic resonance imaging in multicentre studies using quantitative T1 and T2 imaging at 1.5 T., , , , , and . NeuroImage, 40 (2): 662-671 (2008)Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa., , , , , , , , , and 6 other author(s). BMC Medical Imaging, (2011)GABAergic inhibitory mechanisms for repetition-adaptivity in large-scale brain systems., , , , , , , , and . NeuroImage, 19 (4): 1578-1588 (2003)A connection between the pattern classification problem and the General Linear Model for statistical inference., and . CoRR, (2020)A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs, , , , and . The Journal of Neuroscience, 26 (1): 63-72 (2006)A non-parametric statistical inference framework for Deep Learning in current neuroimaging., , , , , and . Inf. Fusion, (2023)On the theory of the competitive labor-managed firm under price uncertainty: Comment, and . Journal of Comparative Economics, 4 (3): 338--341 (September 1980)Multivariate and repeated measures (MRM): A new toolbox for dependent and multimodal group-level neuroimaging data., , , , , and . NeuroImage, (2016)Global, Voxel and Cluster Tests, by Theory and Permutation, for a Difference Between Two Groups of Structural MR Images of the Brain., , , , , and . IEEE Trans. Medical Imaging, 18 (18): 32-42 (1999)