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Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia.

, , , , , , and . NeuroImage, 41 (3): 835-848 (2008)

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Generative modeling of brain maps with spatial autocorrelation., , , , and . NeuroImage, (2020)Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia., , , , , , and . NeuroImage, 41 (3): 835-848 (2008)Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data., , , , , , , and . NeuroImage, (2018)Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power., , , , , , , and . NeuroImage, (2019)Reward and loss incentives improve spatial working memory by shaping trial-by-trial posterior frontoparietal signals., , , , , , , , , and 3 other author(s). NeuroImage, (2022)QuNex - An integrative platform for reproducible neuroimaging analytics., , , , , , , , , and 9 other author(s). Frontiers Neuroinformatics, (March 2023)Symmetric abnormalities in sulcal patterning in schizophrenia., , , , , , and . NeuroImage, 43 (3): 440-446 (2008)Mapping the human brain's cortical-subcortical functional network organization., , , , , and . NeuroImage, (2019)An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group., , , , , , , , , and 65 other author(s). Frontiers Neuroinformatics, (2018)When less is more: TPJ and default network deactivation during encoding predicts working memory performance., , , and . NeuroImage, 49 (3): 2638-2648 (2010)