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Grey matter correlates of early psychotic symptoms in adolescents at enhanced risk of psychosis: A voxel-based study.

, , , , , , , , and . NeuroImage, 35 (3): 1181-1191 (2007)

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Grey matter correlates of early psychotic symptoms in adolescents at enhanced risk of psychosis: A voxel-based study., , , , , , , , and . NeuroImage, 35 (3): 1181-1191 (2007)Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data., , , , , , , , , and 5 other author(s). BMC Medical Imaging, (2009)Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group., , , , , , , , , and 20 other author(s). NeuroImage, (2013)Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task., , , , , , , , , and 9 other author(s). NeuroImage, 49 (1): 552-560 (2010)The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences., , , , , , , , , and 14 other author(s). CBMS, page 81-86. IEEE Computer Society, (2006)Brain-behaviour relationships in people at high genetic risk of schizophrenia., , , , , , and . NeuroImage, 33 (1): 275-285 (2006)Corrigendum to "Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group" NeuroImage 81 (2013) 455-469., , , , , , , , , and 20 other author(s). NeuroImage, (2014)Dynamic causal modelling of auditory surprise during disconnected consciousness: The role of feedback connectivity., , , , , , , , , and 3 other author(s). NeuroImage, (2022)Comparison of rule-based and neural network models for negation detection in radiology reports., , , , , , , , and . Nat. Lang. Eng., 27 (2): 203-224 (2021)Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group., , , , , , , , , and 27 other author(s). ISBI, page 1234-1238. IEEE, (2014)