1. Nanda A, Rubinov M.
   Unbiased and efficient sampling of timeseries reveals redundancy of brain network and gradient structure.
   ​preprint, 2023, https://osf.io/ce9xv
   ​
   
2. Hoang N, Sardaripour N, Ramey G, Chen Y, Liao E, Park JH, Benton ML, Capra JA, Rubinov M.
   Genetically regulated gene expression underlies the individuality of human brain organization and disease risk.
   preprint, 2022, https://doi.org/10.31219/osf.io/xefru
   
   
3. Rubinov M. Circular and unified analysis in network neuroscience.
   preprint, 2022, https://doi.org/10.31219/osf.io/mdqak
   
   
4. ​Nanda A, Johnson G, Mu Y, Ahrens MB, Chang C, Englot DJ, Breakspear M, Rubinov M.
   Time-resolved smoothness of distributed brain activity tracks conscious states and unifies emergent neural phenomena.
   preprint, 2022, https://doi.org/10.21203/rs.3.rs-1195514/v2
   
   
5. Yang E, Zwart MF, James B, Rubinov M, Wei Z, Narayan S, Vladimirov N, Mensh BD, Fitzgerald JE, Ahrens MA.
   A brainstem integrator for self-location memory and positional homeostasis in zebrafish.
   Cell, 2022, 185:5011-5027 [pdf].
   
   
6. McGuinness I, Abou-Khalil B, Rubinov M, Gallagher MJ.
   Network connectivity in primary generalized tonic-clonic seizures.
   ​Clinical Neurophysiology, 2022, 138:97-107 [pdf].
   
   
7. González HFJ, Narasimhan S, Johnson GW, Wills KE, Haas KF, Konrad PE, Chang C, Morgan VL, Rubinov M, Englot DJ.
   Role of the nucleus basalis as a key network node in temporal lobe epilepsy.
   Neurology, 2021, 96:e1334-e1346. [pdf]
   
   
8. Mu Y*, Bennett DV*, Rubinov M*, Narayan S, Yang CT, Tanimoto M, Mensh BD, Looger LL, Ahrens MB.
   Glia accumulate evidence that actions are futile and suppress unsuccessful behavior.
   Cell, 2019, 178:27-43 [pdf].
   [*equal first authors]
   
   
9. Chen JE, Rubinov M, Chang C
   Methods and considerations for dynamic analysis of functional MR Imaging data.
   Neuroimaging Clinics of North America, 2017, 27:547-560 [pdf].
   
   
10. Bolt T, Nomi J, Rubinov M, Uddin L.
    Correspondence between evoked and intrinsic functional brain network configurations
    Human Brain Mapping, 2017, 38:1992-2007 [pdf].
    
    
11. Rubinov M.
    Constraints and spandrels of interareal connectomes.
    Nature Communications, 2016, 7:13812 [pdf].
    
    
12. Ypma RJ, Moseley RL, Holt RJ, Rughooputh N, Floris D, Chura LR, Spencer MD, Baron-Cohen S, Suckling J, Bullmore E, Rubinov M.
    Default mode hypoconnectivity underlies a sex-related autism spectrum.
    Biological Psychiatry: CNNI, 2016, 1:364-371 [pdf].
    
    
13. Rubinov M*, Ypma RJ*, Watson C, Bullmore ET.
    Wiring cost and topological participation of the mouse brain connectome.
    Proceedings of the National Academy of Sciences USA, 2015, 112:10032-7 [pdf].
    [*equal first authors]
    
    
14. Rubinov M.
    Comment: Neural networks in the future of neuroscience research.
    Nature Reviews Neuroscience, 2015, 16:767 [pdf].
    
    
15. Moseley RL, Ypma RJ, Holt RJ, Floris D, Chura LR, Spencer MD, Baron-Cohen S, Suckling J, Bullmore E, Rubinov M.
    Whole-brain functional hypoconnectivity as an endophenotype of autism in adolescents.
    NeuroImage: Clinical, 2015, 9: 140-152 [pdf].
    
    
16. Rittman T, Rubinov M, Vertes PE, Patel A, Ginestet C, Ghosh BCP, Barker RA, Spillantini MG, Bullmore ET, Rowe JB.
    Regional expression of the MAPT gene is associated with loss of hubs in brain networks and cognitive impairment in Parkinson’s disease and Progressive Supranuclear Palsy.
    Neurobiology of Aging, 2016, 48:153-160 [pdf].
    
    
17. Lowe MJ, Sakaie KE, Beall EB, Calhoun VD, Bridwell DA, Rubinov M, Rao SM.
    Modern methods for interrogating the human connectome.
    Journal of the International Neuropsychological Society, 2016, 22:105-19 [pdf].
    
    
18. Crossley NA, Mechelli A, Ginestet C, Rubinov M, Bullmore ET, McGuire P.
    Altered hub functioning and compensatory activations in the connectome: A meta-analysis of functional neuroimaging studies in schizophrenia.
    Schizophrenia Bulletin, 2016, 42:434-42 [pdf].
    
    
19. Geerligs L, Rubinov M, Cam-CAN, Henson RN.
    State and trait components of functional connectivity: Individual differences vary with mental state.
    Journal of Neuroscience, 2015, 35:13949-61 [pdf].
    
    
20. Harrington DL, Rubinov M, Durgerian S, Mourany L, Reece C, Koenig K, Bullmore E, Long JD, Paulsen JS, PREDICT-HD, Rao SM.
    Network topology and functional connectivity disturbances precede the onset of Huntington’s disease.
    Brain, 2015, 138:2332-46 [pdf].
    
    
21. Kruschwitz JD, List D, Waller L, Rubinov M, Walter H.
    GraphVar: a user-friendly toolbox for comprehensive graph analyses of functional brain connectivity.
    Journal of Neuroscience Methods, 2015, 245:107-15 [pdf].
    
    
22. Alstott J, Panzarasa P, Rubinov M, Bullmore ET, Vértes PE.
    A unifying framework for measuring weighted rich clubs.
    Scientific Reports, 2014, 4:7258 [pdf].
    
    
23. Patel AX, Kundu P, Rubinov M, Jones PS, Vértes PE, Ersche KD, Suckling J, Bullmore ET.
    A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series.
    NeuroImage, 2014, 95:287-304 [pdf].
    
    
24. Rubinov M, Bullmore E.
    Fledgling pathoconnectomics of psychiatric disorders.
    Trends in Cognitive Sciences, 2013, 17:641-7 [pdf].
    
    
25. Rubinov M, Bullmore E.
    Schizophrenia and abnormal brain network hubs.
    Dialogues in Clinical Neuroscience, 2013, 15:339-49 [pdf].
    
    
26. Rubinov M.
    Book Review: “Psychiatry and Clinical Neuroscience: A Primer”.
    Psychological Medicine, 2013, 43:667-668 [pdf].
    
    
27. Monti MM, Lutkenhoff ES, Rubinov M, Boveroux P, Vanhaudenhuyse A, Gosseries O, Bruno MA, Noirhomme Q, Boly M, Laureys S.
    Dynamic change of global and local information processing in propofol-induced loss and recovery of consciousness.
    PLoS Computational Biology, 2013, 9:e1003271 [pdf].
    ​​
28. Lizier J, Rubinov M.
    Multivariate construction of effective computational networks from observational data.
    Max Planck Institute for Mathematics in the Sciences, 2012, preprint 25 [pdf].
    
    
29. Rubinov M, Bassett DS.
    Commentary: Emerging evidence of connectomic abnormalities of schizophrenia.
    Journal of Neuroscience, 2011, 31:6263-5 [pdf].
    
    
30. Rubinov M, Sporns O, Thivierge JP, Breakspear M.
    Neurobiologically realistic determinants of self-organized criticality in networks of spiking neurons.
    PLoS Computational Biology, 2011, 7:e1002038 [pdf].
    
    
31. Rubinov M, Sporns O.
    Weight-conserving characterization of complex functional brain networks.
    NeuroImage, 2011, 56:2068-79 [pdf].
    
    
32. Rubinov M, Sporns O.
    Complex network measures of brain connectivity: Uses and interpretations.
    NeuroImage, 2010, 52:1059-69 [pdf].
    
    
33. Rubinov M, Sporns O, van Leeuwen C, Breakspear M.
    Symbiotic relationship between brain structure and dynamics.
    BMC Neuroscience, 2009, 10:55 [pdf[.
    
    
34. Rubinov M, McIntosh AR, Valenzuela MJ, Breakspear M.
    Simulation of neuronal death and network recovery in a computational model of distributed cortical activity.
    American Journal of Geriatric Psychiatry, 2009, 17:210-7 [pdf].
    
    
35. Rubinov M, Knock SA, Stam CJ, Micheloyannis S, Harris AW, Williams LM, Breakspear M.
    Small-world properties of nonlinear brain activity in schizophrenia.
    Human Brain Mapping, 2009, 30:403-16 [pdf].