| IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks P Wollstadt, JT Lizier, R Vicente, C Finn, M Martınez-Zarzuela, P Mediano, ... Journal of Open Source Software 4 (34), 1081, 2019 | 115 | 2019 |
| Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing L Novelli, P Wollstadt, P Mediano, M Wibral, JT Lizier Network Neuroscience 3 (3), 827-847, 2019 | 96 | 2019 |
| A mathematical perspective on edge-centric brain functional connectivity L Novelli, A Razi Nature Communications 13 (1), 1-13, 2022 | 48* | 2022 |
| Inferring network properties from time series using transfer entropy and mutual information: Validation of multivariate versus bivariate approaches L Novelli, JT Lizier Network Neuroscience 5 (2), 373-404, 2021 | 39 | 2021 |
| Assessing the significance of directed and multivariate measures of linear dependence between time series OM Cliff, L Novelli, BD Fulcher, JM Shine, JT Lizier Physical Review Research 3 (1), 013145, 2021 | 35 | 2021 |
| Effective connectivity of functionally anticorrelated networks under lysergic acid diethylamide D Stoliker, L Novelli, FX Vollenweider, GF Egan, KH Preller, A Razi Biological Psychiatry 93 (3), 224-232, 2023 | 25* | 2023 |
| Deriving pairwise transfer entropy from network structure and motifs L Novelli, FM Atay, J Jost, JT Lizier Proceedings of the Royal Society A 476 (2236), 20190779, 2020 | 22 | 2020 |
| Spectral dynamic causal modeling: A didactic introduction and its relationship with functional connectivity L Novelli, K Friston, A Razi Network Neuroscience 8 (1), 178-202, 2024 | 16 | 2024 |
| Exact inference of linear dependence between multiple autocorrelated time series OM Cliff, L Novelli, BD Fulcher, JM Shine, JT Lizier arXiv preprint arXiv:2003.03887, 2020 | 11 | 2020 |
| Dynamic reorganization of the cortico-basal ganglia-thalamo-cortical network during task learning Y Sych, A Fomins, L Novelli, F Helmchen Cell Reports 40 (12), 111394, 2022 | 10* | 2022 |
| Neural Mechanisms of Resting-State Networks and the Amygdala underlying the Cognitive and Emotional Effects of Psilocybin D Stoliker, L Novelli, FX Vollenweider, GF Egan, KH Preller, A Razi Biological Psychiatry, 2024 | 7 | 2024 |
| Neural mechanisms of psychedelic visual imagery D Stoliker, KH Preller, L Novelli, A Anticevic, GF Egan, FX Vollenweider, ... Molecular Psychiatry, 1-8, 2024 | 2 | 2024 |
| Effective connectivity of emotion and cognition under psilocybin D Stoliker, L Novelli, FX Vollenweider, G Egan, K Preller, A Razi medRxiv, 2022.09. 06.22279626, 2022 | 2 | 2022 |
| Structurally informed resting-state effective connectivity recapitulates cortical hierarchy MD Greaves, L Novelli, A Razi bioRxiv, 2024 | | 2024 |
| Depression in Premanifest Huntington’s Disease: Effective Connectivity of Striatum and Default Mode Network T Barta, L Novelli, N Georgiou-Karistianis, J Stout, S Loi, ... medRxiv, 2024.03. 17.24304066, 2024 | | 2024 |
| Minimum-phase property of the hemodynamic response function, and implications for Granger Causality in fMRI L Novelli, L Barnett, A Seth, A Razi arXiv preprint arXiv:2312.01833, 2023 | | 2023 |
| The role of the Default Mode Network and Striatal Circuits in the Expression of Depressive Symptoms in Premanifest Huntington’s Disease T Barta, L Novelli, N Georgiou‐Karistianis, J Stout, SM Loi, ... Alzheimer's & Dementia 19, e074410, 2023 | | 2023 |
| Longitudinal Effective Connectivity Changes in the Default Mode Network in Young‐Onset Alzheimer’s Disease Variants ME Kantar, L Novelli, JM Schott, A Razi Alzheimer's & Dementia 19, e076049, 2023 | | 2023 |
| Hierarchical Bayesian inference for community detection and connectivity of functional brain networks L Bian, N Wang, L Novelli, J Keith, A Razi arXiv preprint arXiv:2301.07386, 2023 | | 2023 |
| Relating network structure and function via information theory L Novelli University of Sydney, 2020 | | 2020 |
Adeel RaziAssociate Professor, Monash University, AusraliaBestätigte E-Mail-Adresse bei monash.edu
