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- W114962334 abstract "Neuroimaging group analyses are used to compare the inter-subject variability observed in brain organization with behavioural or genetic variables and to assess risks factors of brain diseases. The lack of stability and of sensitivity of current voxel-based analysis schemes may however lead to non-reproducible results. A new approach is introduced to overcome the limitations of standard methods, in which active voxels are detected according to a consensus on several random parcellations of the brain images, while a permutation test controls the false positive risk. Both on syntetic and real data, this approach shows higher sensitivity, better recovery and higher reproducibility than standard methods and succeeds in detecting a significant association in an imaging-genetic study between a genetic variant next to the COMT gene and a region in the left thalamus on a functional Magnetic Resonance Imaging contrast." @default.
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- W114962334 date "2013-01-01" @default.
- W114962334 modified "2023-10-14" @default.
- W114962334 title "Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations" @default.
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- W114962334 doi "https://doi.org/10.1007/978-3-642-40763-5_73" @default.
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