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Genetically dependent modulation of serotonergic inactivation in the human prefrontal cortex., , , , , , и . NeuroImage, 40 (3): 1264-1273 (2008)Estimating directed brain-brain and brain-heart connectivity through globally conditioned Granger causality approaches., , , , , и . EMBC, стр. 4367-4370. IEEE, (2017)Globally conditioned causality in estimating directed brain-heart interactions through joint MRI and RR series analysis., , , , , , и . EMBC, стр. 3795-3798. IEEE, (2015)A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data., , , и . EMBC, стр. 5537-5540. IEEE, (2018)A Machine Learning Tool for Interpreting Differences in Cognition Using Brain Features., , , и . AIAI, том 559 из IFIP Advances in Information and Communication Technology, стр. 475-486. Springer, (2019)Towards a predictive spatio-temporal representation of brain data., , , и . CoRR, (2020)A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data., , , , , , и . Medical Image Anal., (2022)Reconstructing multivariate causal structure between functional brain networks through a Laguerre-Volterra based Granger causality approach., , , , , и . EMBC, стр. 5477-5480. IEEE, (2016)Unsupervised stratification in neuroimaging through deep latent embeddings., , , , , и . EMBC, стр. 1568-1571. IEEE, (2020)Dynamic inter-network connectivity in the human brain., , , , , и . EMBC, стр. 3313-3316. IEEE, (2017)