+ Lab trainee
* Joint senior author
^ Joint first author


11. R. Kong, R.N. Spreng, A. Xue, R.F. Betzel, J.R.Cohen, J.S. Damoiseaux, F. De Brigard, S.B. Eickhoff, A. Fornito, C. Gratton, E.M. Gordon, A.J. Holmes, A.R. Laird, L. Larson-Prior, L.D. Nickerson, A.L. Pinho, A. Razi, S. Sadaghiani, J.M. Shine, A. Yendiki, B.T.T. Yeo, L.Q. Uddin,‘‘A network correspondence toolbox for quantitative evaluation of novel neuroimaging results", bioRxiv. Link

10. M. Khajenejad+^, F. Habibollahi^, A. Paul+, A. Razi, B.J. Kagan, (2024) ‘‘Biological neurons compete with deep reinforcement learning in sample efficiency in a simulated gameworld", arXiv. Link

9. M.D. Greaves+, L. Novelli+, A. Razi, (2024) ‘‘Structurally informed resting-state effective connectivity recapitulates cortical hierarchy", bioRxiv. Link

8. T. Sultana+, D. Ijaz, F.A. Khan, M. Misaal, E. Dhamala, A. Razi, (2024) ‘‘Sex-specific brain effective connectivity patterns associated with negative emotions", bioRxiv. Link

7. T. Barta+, L. Novelli+, N. Georgiou-Karistiani, J. Stout, S.M. Loi, Y. Glikmann-Johnston, A. Razi, (2024) ‘‘Depression in premanifest Huntingtons disease: Effective connectivity of striatum and default mode network", medRxiv. Link

6. S. Sacu+, C.F. Slattery, K.J. Friston, R.W. Paterson, A.J.M. Foulkes, K. Yong, S. Crutch, J.M. Schott, A. Razi, (2024) ‘‘Differential default-mode network effective connectivity in young-onset Alzheimer’s disease variants", medRxiv. Link

5. K.J. Friston, T. Salvatori, T. Isomura, A. Tschantz, A. Kiefer, T. Verbelen, M. Koudahl, A. Paul, T. Parr, A. Razi, B. J. Kagan, C. L. Buckley, M.J.D. Ramstead, (2023) ‘‘Active Inference and Intentional Behaviour", arXiv. Link

4. L. Novelli+, L. Barnett, A. Seth, A. Razi, (2023) ‘‘Minimum-phase property of the hemodynamic response function, and implications for Granger causality in fMRI", arXiv. Link

3. E. Kennedy et al., (2023) ‘‘Linking symptom inventories using semantic textual similarity", arXiv. Link

2. T. Sultana+, M. A. Hasan, A. Razi, (2023) ‘‘Investigating the association of resting-state brain effective connectivity with basic negative emotions", bioRxiv. Link

1. L. Bian, N. Wang, L. Novelli, J. Keith, A. Razi, (2023) ‘‘Hierarchical Bayesian inference for community detection and connectivity of functional brain networks", arXiv. Link

Special Issue

4. A. Safron, M. Mitchell, N. Hay, M. Levin, D. Kahneman, J. Tenenbaum, D. Krakauer, I. Rish, S. Gershman, Z. Sheikhbahaee, A. Razi, D. Ha,V. Klimaj, K. Schmidt, D. A. R. Sakthivadivel, (2024) “World models, A(G)I, and the Hard problem(s) of life-mind continuity: Towards a unified understanding of natural and artificial intelligence”, Royal Society Philosophical Transactions A. Call for submissions

3. A. Safron, D. A. R. Sakthivadivel, Z. Sheikhbahaee, M. Bein, A. Razi and M. Levin, (2023) “Making and breaking symmetries in mind and life.”, Royal Society Interface Focus. Link

2. A. Razi, Andreea Diaconescu, Pamela K. Douglas, Michael Breakspear, (2023) “Generative modelling of brain dynamics in health and disease”, NeuroImage. Link.

1. B. Li, A. Razi, K. J. Friston, (2017) “Mapping psychopathology with fMRI and effective connectivity analysis”, Frontiers in Human Neuroscience. Editorial

Peer-reviewed journal and conference papers


105. D.H. Bailey, A.J. Jung, A.M. Beltz , M.I. Eronen, C. Gisch, E.L. Hamaker, K.P. Kording, C. Lebel, M. A. Lindquist, J. Moeller, A. Razi, J.M. Rohrer, B. Zhang, K. Murayama, (2024) ‘‘Challenges and opportunities for causal inference on human behavior”, Nature Human Behavior. In press. Link

104. B. J. Kagan, M. Mahlis, A. Bhat, J. Bongard, V.M. Cole, P. Corlett, C. Gyngell, T. Hartung, B. Jupp, M. Levin, T. Lysaght, N. Opie, A. Razi, L. Smirnova, I. Tennant, P.T. Wade, G. Wang (2024) ‘‘Towards a nomenclature consensus for diverse intelligent systems: Call for collaboration", The Innovation. In press. Link

103. S. Ereira, S. Waters, A. Razi, C. Marshall, (2024) ‘‘Early detection of dementia with default-mode network effective connectivity’’, Nature Mental Health. Link. Media Coverage. Widely covered by both national and international media for e.g., The Age, The Guardian etc. Monash news article is here.

102. A. Paul+, T. Isomura, A. Razi, (2024) ‘‘On predictive planning and counterfactual learning in active inference", Entropy. vol. 26, no.6:484. Link

101. H. Steurer^, F. Albrecht^, J.K. Gustafsson, Adeel Razi, E. Franzén, E. Schalling, (2024) Speech and neuroimaging effects of a randomised controlled trial in Parkinson’s disease", Brain Communications. Link

100. D. Stoliker+, K. Preller, L. Novelli+, A. Anticevic, G. Egan, F. Vollenweider*, and A. Razi*, (2024) ‘‘Neural mechanisms of imagery under psilocybin", Molecular Psychiatry. In press. Link

99. A. Paul+, N. Sajid, L. Da Costa, A. Razi, (2024) ‘‘On efficient computation in active inference", Expert Systems with Applications. vol. 253, no. 124315. Link

98. S-Y. Yap+, J.Y. Loo, C-M Ting, F. Noman. R.C.-W. Phan, A. Razi, David Dowe, (2024) ‘‘A deep probabilistic spatiotemporal framework for dynamic graph representation learning with application to brain disorder identification’’, in proceedings of 41st International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug. 2024. In press. Link

97. J. Liu, H. Li, T. Huang, E. Ahn, A. Razi, W. Xiang, (2024) ‘‘Unsupervised representation learning for 3D MRI super resolution with degradation adaptation", IEEE Transactions on Artificial Intelligence. In press. Link

96. T. Bayne, A.K. Seth, M. Massimini, J. Shepherd, A. Cleeremans, S.M. Fleming, R. Malach, J.B. Mattingley, D.K. Menon, A.M. Owen, M. A. K. Peters, A. Razi, Liad Mudrik, (2024) ‘‘Tests for consciousness in humans and beyond", Trends in Cognitive Sciences. vol. 28, no. 5, pp.454-466. Link

95. K. Caeyenberghs et al., (2024) ‘‘ENIGMA’s Simple Seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury", NeuroImage Clinical. vol. 42, no. 103585. Link

94. D. Stoliker+, L. Novelli+, F. Vollenweider, G. Egan, K. Preller, and A. Razi, (2024) ‘‘Neural mechanisms of resting-state networks and the amygdala underlying the cognitive and emotional effects of Psilocybin", Biological Psychiatry. Link

93. M. Avram, F. Müller, K. H. Preller, A. Razi, H. Rogg, A. Korda, F. Holze, P. Vizeli, L. Ley, M. E. Liechti, S. Borgwardt0, (2024) ‘‘Effective-connectivity of thalamocortical interactions following d-amphetamine, LSD, and MDMA administration", Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. vol. 9, no. 5, pp. 522-532. Link

92. L. Novelli+, K. J. Friston, A. Razi, (2024) ‘‘Spectral dynamic causal modelling: A didactic introduction and its relationship with functional connectivity", Network Neuroscience. vol. 8 no. 1, pp. 178–202. Link

91. J. Wang, B. Li, J. Liu, J. Li, A. Razi, K. Zheng, B. Yan, H. Wang, H. Lu, K.J. Friston, (2024) ‘‘Large-scale effective connectivity analysis reveals the existence of two mutual inhibitory systems in patients with major depression", Neuroimage Clinical. vol. 41, no. 103556. Link


90. M. Khajenejad+^, F. Habibollahi^, A. Loeffler, B.J. Kagan, A. Razi, (2023) ‘‘On Complex Network Dynamics of an In-Vitro Neuronal System during Rest and Gameplay", in proceedings of 37th Conference on Neural Information Processing Systems (NeurIPS), Workshops: NeurReps (oral), InfoCog, RealML and GenBio. New Orleans, USA, Dec 2023. Link

89. T. Sultana+, M. A. Hasan, X. Kang, V. Liou-Johnson, M. M. Adamson*, and A. Razi*, (2023) ‘‘Neural mechanisms of emotional health in traumatic brain injury patients undergoing rTMS treatment", Molecular Psychiatry. Link

88. P. Wibawa, M. Walterfang, C. B. Malpas, Y. Glikmann-Johnston, G. Poudel, A. Razi, A. J. Hannan, D. Velakoulis, and N. Georgiou-Karistianis, (2023) ‘‘ Selective perforant-pathway atrophy in Huntington disease: MRI analysis of hippocampal subfields", European Journal of Neurology. vol. 30, pp. 2650-2660. Link

87. L.Q. Uddin, R.F. Betzel, J.R. Cohen, J.S. Damoiseaux, F. De Brigard, S.B. Eickhoff, A. Fornito, C. Gratton, E.M. Gordon, A.R. Laird, L. Larson-Prior, A.R. McIntosh, L.D. Nickerson, L. Pessoa, A.L. Pinho, R.A. Poldrack, A. Razi, S. Sadaghiani, J.M. Shine, A. Yendiki, B.T.T. Yeo, and R. N. Spreng, (2023) ‘‘Controversies and current progress on large-scale brain network nomenclature", Network Neuroscience. vol. 7, no. 3, pp. 864–905. Link

86. A. Safron, D. A. R. Sakthivadivel, Z. Sheikhbahaee, M. Bein, A. Razi and M. Levin, (2023) ‘Making and breaking symmetries in mind and life.”, Interface Focus, vol.13, no. 20230015. Editorial

85. B. J. Kagan, A. Razi, A. Bhat, A. Kitchen, N. T. Tran, F. Habibollahi, M. Khajehnejad, B. J. Parker, B. Rollo, K. J. Friston, (2022) ‘‘Scientific communication and the semantics of sentience", Neuron. vol. 111, no. 5, pp. 606-607. Link

84. T. S. Zarghami, P. Zeidman, A. Razi, F. Bahrami, G. Hossein-Zadeh, (2023) ‘‘Dysconnection and cognition in schizophrenia: a spectral dynamic causal modeling study", Human Brain Mapping, vol. 44, no. 7, pp. 2873– 2896. Link

83. G.E.C. Thomas, P. Zeidman, T. Sultana, A. Zarkali, A. Razi, R.S. Weil, (2023) ‘‘Changes in both top-down and bottom-up effective connectivity drive visual hallucinations in Parkinson's disease", Brain Communications. vol. 5, no. 1. Link

82. D. Stoliker+, L. Novelli, F. X. Vollenweider, G. F. Egan, K. Preller* A. Razi*, (2023) ‘‘Effective connectivity of functionally anticorrelated networks under LSD", Biological Psychiatry. vol. 93, no. 3, pp. 224-232. Link

81. K. Sabaroedin, A. Razi, S. Chopra, N. Tran, A. Pozaruk, Z. Chen, A. Finlay, B. Nelson, K. Allott, M. Alvarez-Jimenez, J. Graham, L. Baldwin, S. Tahtalian, H. P. Yuen, S. Harrigan, V. Cropley, S. Sharma, B. Saluja, R. Williams, C. Pantelis, S. J Wood, B. O'Donoghue, S. Francey, P. McGorry, K. M Aquino, A. Fornito, (2023),‘‘Effective Connectivity and Dopaminergic Function of Fronto-Striato-Thalamic Circuitry in First-Episode Psychosis, Established Schizophrenia, and Healthy Controls", Brain. vol. 146, no. 1, pp. 372-386. Link


80. B. J. Kagan, A. C. Kitchen, N. T. Tran, F. Habibollahi, M. Khajehnejad, B. J. Parker, A. Bhat, B. Rollo, A. Razi, & K. J. Friston, (2022) ‘‘In vitro neurons learn and exhibit sentience when embodied in a simulated game-world", Neuron. vol. 110, no. 23, pp. 3952-3969.e8. Link. Also see the neural cultures playing the game of pong here. Media Coverage: Nature, The Age, The Guardian, BBC, Economist etc. It is also included in The New Yorker top 8 discoveries of 2022.

79. K. Rasheed+, A. Qayyum, M. Ghaly, A. Al-Fuqaha, A. Razi, J. Qadir, (2022) ‘‘Explainable, Trustworthy, and Ethical Machine Learning for Healthcare: A Survey", Computers in Biology and Medicine. vol. 149, artcile no. 106043. Link

78. D. Stoliker+, G. F. Egan, K. J. Friston, A. Razi, (2022) ‘‘Neural mechanisms and psychology of psychedelic ego dissolution", Pharmacological Reviews. vol. 74, no.4, pp. 874-915. Link

77. M. A. Ahsan, A. Qayyum, A. Razi, J. Qadir (2022) ‘‘An active learning method for diabetic retinopathy classification with uncertainty quantification", Medical & Biological Eng & Computing. vol. 60, pp. 2797–2811. Link

76. K. J. Friston, G. Flandin, A. Razi, (2022) ‘‘Dynamic causal modelling of mitigated epidemiological outcomes", Scientific Reports, no. 12, ID: 12419 . Link

75. L. Novelli+, A. Razi, (2022) ‘‘A mathematical perspective on edge-centric brain functional connectivity", Nature Communications. vol. 13, article no. 2693. Link

74. K. Voigt, Z. B. Andrews, I. H. Harding, A. Razi, A. Verdejo-Garcia, (2022)‘‘Hypothalamic effective connectivity at rest is associated with body weight and energy homeostasis”, Network Neuroscience. vol. 6, no. 4, pp. 1316–1333. Link

73. S. Sacu+, C. Wackerhagen, S. Erk, N. Romanczuk-Seiferth, K. Schwarz, J. I. Schweiger, H. Tost, A. Meyer-Lindenberg, A. Heinz, A. Razi*, H. Walter*, (2022) ‘‘Effective connectivity during faces processing in major depression: Distinguishing markers of pathology, risk, and resilience", Psychological Medicine. vol. 53, no. 9, pp. 4139-4151. Link

72. D. Stoliker+, G. F. Egan, A. Razi, (2022) ‘‘Reduced precision underwrites ego dissolution and therapeutic outcomes under psychedelics", Frontiers in Neuroscience. vol. 16, no. 827400. Link

71. A. Jamieson, B. Harrison, A. Razi, C. Davey, (2022) ‘‘Rostral anterior cingulate network effective connectivity in depressed adolescents and associations with treatment response in a randomized controlled trial", Neuropsychopharmacology. vol. 47, no. 6, pp. 1240-1248. Link

70. A. Nair, A. Razi, S. Gregory, R. R. Rutledge, G. Rees, S. J Tabrizi, (2022)‘‘Imbalanced basal ganglia connectivity is associated with motor deficits and apathy in Huntington’s disease”, Brain.vol. 145, no.3, pp. 991-1000. Link


69. K. Rasheed+, J. Qadir, T. J. O'Brien, L. Kuhlhmann, A. Razi, (2021) ‘‘A generative model to synthesize EEG data for epileptic seizure prediction", IEEE Transactions on Neural Systems and Rehabilitation Engineering. vol. 29 ,pp.2322 - 2332. Link

68. M. Krylova, S. Skouras, A. Razi, A. Nicholson, A. Karner, D. Steyrl, O. Boukrina, G. Rees, F. Scharnowski, Y. Koush, (2021) ‘‘Progressive modulation of resting‐state brain activity during neurofeedback of positive‐social emotion regulation networks", Scientific Reports, vol. 11, article no. 23363. Link.

67. L. Bian+, T. Cui, B. T. T. Yeo, A. Fornito, A. Razi*, J. Keith*, (2021) ‘‘Identification of community structure-based brain states and transitions using functional MRI", NeuroImage. vol. 244, article no. 118635. Link

66. K. Voigt, A. Razi, I. H. Harding, Z. B. Andrews, A. Verdejo-Garcia, (2021)‘‘Neural network modelling reveals changes in directional connectivity between cortical and hypothalamic regions in obesity”, International Journal of Obesity. vol. 45, pp. 2447–2454. Link

65. E. Hidalgo-Lopez, P. Zeidman, T. Harris, A. Razi, B. Pletzer, (2021) ‘‘Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle", Communications Biology. vol. 4, article nuo. 954. Link

64. P. M. Abeyasinghe, J. D. Long, A. Razi, D. Pustina, J. S. Paulsen, S. J. Tabrizi, G. Poudel, N. Georgiou-Karistianis, (2021) ‘‘Tracking Huntington's Disease Progression using motor, functional, cognitive, and imaging markers". Movement Disorders. vol. 36, no. 10, pp. 2282-2292. Link

63. K. J. Friston, E. D. Fagerholm, T. S. Zarghami, T. Parr, I. Hipolito, L. Magrou, A. Razi, (2021) ‘‘Parcels and particles: Markov blankets in the brain", Network Neuroscience. vol. 5 no. 1, pp. 211–251. Link

62. S. Bajaj, A. C. Raikes, A. Razi, M. A. Miller, W. D. S. Killgore, (2021) ‘‘Blue-light therapy strengthens resting-state effective connectivity within default-mode network after mild TBI", Journal of Central Neurvous System Disease. Link

61. K. J. Friston, T. Parr, P. Zeidman, A. Razi, G. Flandin, J. Daunizeau, O. J. Hulme, A. J. Billig, V. Litvak, C. J. Price, R. J. Moran, C. Lambert, (2021) ‘‘Second waves, social distancing, and the spread of COVID-19 across the USA’’, [version 3; peer review: 2 approved]. Wellcome Open Res. 2021, 5:103. Link

60. K. Rasheed+, A. Qayyum, J. Qadir, S. Sivathamboo, P. Kwan, L. Kuhlmann, T. J. O'Brien, A. Razi, (2021) ‘‘Machine learning for predicting epileptic seizures using EEG signals: A review”, IEEE Reviews in Biomedical Engineering. vol. 14, pp. 139 - 155, 2021. Link

59. A. Paul, N. Sajid, M. Gopalkrishnan, A. Razi, (2021) ‘‘Active Inference for Stochastic Control", in proceeedings of Second International Worksop on Active Inference. In press.


58. C. Paquola, O. Benkarim, J. DeKraker, S. Lariviere, S. Frassle, J. Royer, S. Tavakol, S. L. Valk, A. Bernasconi, N. Bernasconi, A. Khan, A. C. Evans, A. Razi, J. Smallwood, B. Bernhardt, (2020)‘‘Convergence of cortical types and functional motifs in the mesiotemporal lobe”, eLife, 2020;9:e606739. Link

57. E. Benhamou+, C. R. Marshall, L. L. Russell, C. J. D. Hardy, R. L. Bond, H. Sivasathiaseelan, C. V. Greaves, K. J. Friston, J. D. Rohrer, J. D. Warren*, A. Razi*, (2020) ‘‘The neurophysiological architecture of semantic dementia: Spectral dynamic causal modelling of a neurodegenerative proteinopathy", Scientific Reports. vol. no. 10, article number: 16321. Link

56. K. J. Friston, T. Parr, P. Zeidman, A. Razi, G. Flandin, J. Daunizeau, O. J. Hulme, A. J. Billig, V. Litvak, C. J. Price, R. J. Moran, A. Costello, D. Pillay, C. Lambert, (2020) ‘‘Effective immunity and second waves: a dynamic causal modelling study’’, [version 2; peer review: 2 approved]. Wellcome Open Res. 2020, 5:204. Link

55. S. Latif, M. Usman, S. Manzoor, W. Iqbal, J. Qadir, G Tyson, I. Castro, A. Razi, M. N. K. Boulos, and J. Crowcroft, (2020) ‘‘Leveraging data science to combat COVID-19: A comprehensive review”, IEEE Transactions on Artificial Intelligence. vol. 1, no. 1, pp. 85-103. Link
Here is the accompanying website which is constantly updated with new datasets and other community resources.

54. K. J. Friston, T. Parr, P. Zeidman, A. Razi, G. Flandin, J. Daunizeau, O. J. Hulme, A. J. Billig, V. Litvak, R. J. Moran, C. J. Price, C. Lambert, (2020) ‘‘Dynamic causal modelling of COVID-19’’, [version 2; peer review: 2 approved]. Wellcome Open Res. 2020, 5:89. Link
Here is the accompanying website which hosts open access software code, among other resources.

53. A. A. Sokolov, P. Zeidman, A. Razi, M. Erb, P. Ryvlin, M. A. Pavlova. and K. J. Friston, (2020) ‘‘Asymmetric high-order anatomical brain connectivity sculpts effective connectivity”, Network Neuroscience. vol. 4, no. 3, pp. 871-890. Link

52. M. M. Adamson, S. Shakil, T. Sultana, M. A. Hasan, F. Mubarak, S. A. Enam, M. A. Parvaz and A. Razi, (2020) ‘‘Brain Injury and Dementia in Pakistan: Current Perspectives”, Frontiers in Neurology. article 11:299. Link

51. H. Wei, A. Jafarian, P. Zeidman, V. Litvak, A. Razi, D. Hu*, K. J. Friston*, (2020)‘‘Bayesian fusion and multimodal DCM for EEG and fMRI”, NeuroImage. vol. 211, article no. 116595. Link

50. D. J. Lurie, D. Kessler, D. S. Bassett, R. F. Betzel, M. Breakspear, S. Keilholz, A. Kucyi, R. Liégeois, M. A. Lindquist, A. R. McIntosh, R. A. Poldrack, J. M. Shine, W. H. Thompson, N. Z. Bielczyk, L. Douw, D. Kraft, R. L. Miller, M. Muthuraman, L. Pasquini, A. Razi, D. Vidaurre, H. Xie, V. D. Calhoun, (2020)‘‘ Questions and controversies in the study of time-varying functional connectivity in resting fMRI”, Network Neuroscience. vol. 4, no. 1, pp. 30-69. Link

49. G. Castrillon, N. Sollmann, K. Kurcyus, A. Razi, S.M. Krieg, V. Riedl, (2020)‘‘The physiological effects of non-invasive brain stimulation fundamentally differ across the human cortex”, Science Advances. vol. 6, no. 5, eaay2739. Link

48. H. B. J. Almgren+, F. Van de Steen, A. Razi, K. J. Friston, D. Marinazzo, (2020)‘‘The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI”, NeuroImage. vol. 208, no.116435. Link

47. E. Palacios+, A. Razi, T. Parr, M. Kirchoff, K. J. Friston, (2020) ‘‘On Markov blankets and hierarchical self-organisation", Journal of Theoretical Biology. vol. 246, article no. 110089. Link


46. C. Seguin, A. Razi, A. Zalesky, (2019) ‘‘Inferring directionality of neural signalling from undirected structural connectomes”, Nature Communications. vol. 10, article no. 4289. Link

45. L. Parkes, J. Tiego, K. Aquino, L. Braganza, S. R. Chamberlain, L. Fontenelle, B. J. Harrison, V. Lorenzetti, B. Paton, A. Razi, A. Fornito, M. Yucel, (2019)‘‘ Transdiagnostic variations in impulsivity and compulsivity in obsessive-compulsive disorder and gambling disorder correlate with effective connectivity in cortical-striatal-thalamic-cortical circuits”, NeuroImage, vol. 202, article no. 116070. Link

44. P. Zeidman, A. Jafarian, N. Corbin, M. L. Seghier, A. Razi, C. J. Price, K. J. Friston, (2019)‘‘A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI”, NeuroImage, vol. 200, pp. 174-190. Link (here is part 2)

43 K. Preller^, A. Razi^, P. Zeidman, P. Stämpfli, K. J. Friston, F. X. Vollenweider, (2019)‘‘Effective connectivity changes in LSD-induced altered states of consciousness", Proceeding of National Academy of Sciences. vol. 116, no. 7, pp. 2743-2748. Link.
Media attention: The Age, The Guardian, Inverse, ZME Science, Motherboard, PsyPost

42. F. Van de Steen, H. B. J. Almgren , A. Razi, K. J. Friston, D. Marinazzo, (2019) ‘‘Dynamic causal modelling of fluctuating connectivity in resting-state EEG”, NeuroImage. vol. 189, pp. 476-484. Link

41. S. Esménio, J. M. Soares, P. Oliveira-Silva, P. Zeidman, A. Razi, Ó. F. Gonçalves, K. J. Friston, J. Coutinho, (2019) ‘‘Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy”, Scientific Report. vol. 9, article no. 2603. Link

40. J. Ekanayake, G. Ridgway, J. Winston, E. Feredoes, A. Razi, Y. Koush, F. Scharnowski, N. Weiskopf, G. Rees, (2019) “Volitional modulation of higher order visual cortex alters human perception”, NeuroImage. vol. 188, pp. 291-301, March 2019. Link

39. K. Friston, K. Preller, C. Mathys, H. Cagnan, J. Heinzle, A. Razi, P. Zeidman (2019) ‘‘Dynamic causal modelling revisited ", NeuroImage, vol. 199 pp. 730-744. Link


38. H. B. J. Almgren+, F. Van de Steen, S. Kühn, A. Razi, K. J. Friston, D. Marinazzo, (2018) ‘‘Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study”, NeuroImage. vol. 183, pp. 757-768, 2018. Link

37. S. Tak, J. Noh, C. Cheong, P. Zeidman, A. Razi, W. Penny, K. J. Friston, (2018)‘‘Validation of dynamic causal modelling for 7T fMRI data", Journal of Neurosci Methods. vol. 35, pp. 36-45. Link

36. S. Gregory, J. Long, S. Kloeppel, A. Razi, Elisa Schiller, Lora Minkova, , E. Johnson, A. Durr, B. Leavitt, R. A.C. Roos, J. Mills, J. C. Stout, R. Scahill, S. J. Tabrizi, G. Rees and the Track-HD Investigators, (2018) ‘‘ Testing a longitudinal compensation model in premanifest Huntington’s disease ", Brain. vol. 141, no. 7, pp. 2156–2166. Link

35. Y. Zhou, K. J. Friston, P. Zeidman, J. Chen, S. Li, A. Razi, (2018) ‘‘The hierarchical organisation of the default, dorsal attention and salience networks in adolescents and young adults", Cerebral Cortex. vol. 28, no. 2, pp. 726–737. Link

34. Y. Zhou*, P. Zeidman*, S. Wu, A. Razi, C. Cheng, L. Yang, J. Zou, G. Wang, H. Wang, K. J. Friston, (2018) ‘‘Altered intrinsic and extrinsic connectivity in schizophrenia", NeuroImage: Clinical. vol 17, pp. 704-716. Link

33. P. McColgan, S. Gregory, K. K. Seunarine, A. Razi, M. Papoutsi, E. Johnson, A. Durr, R. A.C. Roos, B. Leavitt, P. Holmans, R. Scahill, C. A. Clark, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2018)‘‘Brain regions showing white matter loss in Huntington's disease are enriched for synaptic and metabolic genes", Biological Psychiatry. vol. 83, no. 5, pp. 456-465. Link

32. H.J. Park, K. J. Friston, C. Pae, B. Park, A. Razi, (2018)‘‘Dynamic effective connectivity in resting state fMRI", NeuroImage. vol. 180 (part B), pp. 594-608, 2018. Link. Received an ‘‘Honourable Mention” for the ‘Best Paper of Year Award’ for 2018 from Neuroimage

31. K. Georgiadis, A. L. Young, M. Hutel, C. G. Semedo, A. Razi, J. Schott , S. Ourselin, J. D. Warren, M. Modat, ‘‘Computational modelling of pathogenic protein behaviour-governing mechanisms in the brain”, in proceedings of 21st International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), Granada Spain, Sep 2018. Link


30. H. J. Park*, C. Pae*, K. J. Friston, C. Jang, A. Razi, P. Zeidman, W. S. Chang and J. W. Chang, (2017) ‘‘Hierarchical dynamic causal modelling of resting-state fMRI reveals longitudinal changes in effective connectivity in the motor system after thalamotomy for essential tremor" Frontiers in Neurology. vol. 10 (346). doi: 10.3389/fneur.2017.00346. Link

29. A. Razi, M. L. Seghier, Y. Zhou, P. McColgan, P. Zeidman , H. J. Park, O. Sporns, G. Rees, K. J. Friston, (2017) ‘‘Large-scale DCMs for resting state fMRI", Network Neuroscience. vol. 1, no. 3, pp. 222-241. Link

28. P. McColgan, K. K. Seunarine, S. Gregory, A. Razi, M. Papoutsi, A. Durr, R. A.C. Roos, J. C. Stout, R. Scahill, C. A. Clark, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2017) ‘‘Topological length of white matter connections predicts their rate of atrophy in premanifest Huntington’s disease", JCI Insight, vol.2, no. 8, e92641. Link

27. S. Fraessle*, E. I. Lomakina*, A. Razi, K. Friston, J. M. Buhmann, K. E. Stephan, (2017) ‘‘Regression DCM for fMRI", NeuroImage. vol. 155, pp. 406-421, 2017. Link

26. S. Gregory*, J. Long*, S. Kloeppel, A. Razi, Elisa Schiller, Lora Minkova, M. Papoutsi, J. Mills, A. Durr, B. Leavitt, R. A.C. Roos, J. C. Stout, R. Scahill, D. Langbehn, S. J. Tabrizi, G. Rees and the Track-HD Investigators, (2017) ‘‘Operationalising compensation over time in neurodegenerative disease", Brain. vol. 140, no. 4, pp.1158-1165. Link

25. P. McColgan, A. Razi, S. Gregory, K. K. Seunarine, A. Durr, R. A.C. Roos, B. Leavitt, R. Scahill, C. A. Clark, D. Langbehn, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2017) ‘‘Structural and functional brain network correlates of depressive symptoms in premanifest Huntington’s disease", Human Brain Mapping. vol. 38, no. 6, pp. 2819–2829. Link

24. P. McColgan, S. Gregory, A. Razi, K. K. Seunarine, G. Fatma , A. Durr, R. A.C. Roos, B. Leavitt, Scahill, C. A. Clark, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2017) “White matter predicts functional connectivity in premanifest Huntington’s disease", Annals of Clinical and Translational Neurology. vol. 4, no. 2. pp. 106–118. Link


23. A. Razi, and K. J. Friston (2016), “The connected brain: Causality, models and intrinsic dynamics”, IEEE Signal Processing Magazine. vol. 33, no. 3, pp. 14-35. doi: 10.1109/MSP.2015.2482121 Link Invited Feature article in Special Issue on Brain Signal Analytics

22. R. Tang, A. Razi, K. J. Friston and Y. Tang (2016), ‘Mapping the smoking addiction at rest using effective connectivity analysis", Frontiers in Human Neuroscience. vol. 10, no. 195. doi: 10.3389/fnhum.2016.00195. Link

21. K. A. Tsvetanov, R. N. A. Henson, L. K. Tyler, A. Razi, L.Geerligs, T. Ham, J. B. Rowe (2016) ‘‘Higher extrinsic and intrinsic brain network connectivity maintains cognition across the lifespan despite age-related decay of regional neuronal activationI", Journal of Neuroscience, vol. 11, no. 36, pp. 3115-3126. doi: 10.1523/jneurosci.2733-15.2016. Link

20. K. J. Friston, V. Litvak, A. Oswal, A. Razi, K. Stephan, B. Wijk, G. Ziegler, P. Zeidman, (2016) “Bayesian model reduction and empirical Bayes for group (DCM) studies”, NeuroImage, vol. 128, pp. 13-431, March 2016. Link


19. S. Kloeppel*, S. Gregory*, Elisa Schiller, Lora Minkova, A. Razi, A. Durr, B. Leavitt, R. A.C. Roos,J. C. Stout, R. Scahill, J. Long, D. Langbehn, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2015) “Compensation in preclinical Huntington’s Disease: Evidence from the TrackOn-HD study”, EBioMedicine, vol. 2, no. 10, pp. 1420–1429. Link (Commentary 1, Commentary 2)

18. P. McColgan*, K. K. Seunarine*, A. Razi, J. H. Cole, S. Gregory, A. Durr, R. A.C. Roos, J. C. Stout, R. Scahill, C. A. Clark, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2015) “Selective vulnerability of Rich Club brain regions is an organisational principle of structural connectivity loss in Huntington’s disease”, Brain, vol.138, no.11, pp. 3327-33344. Link

17. A. Razi, J. Kahan, G. Rees, K. J. Friston (2015) “Construct Validation of a DCM for resting state fMRI”, NeuroImage, Volume 106, pp. 1-14, Feb 2015. Link

16. M. O. Mughal, A. Razi, J. Kim (2015) “Tight Upper Bounds on Average Detection Probability in Cooperative Relay Networks with Selection Combiner”, Trans. Emerging Tel. Tech.,vol. 26(3), pp. 340-345 Link


15. K. J. Friston, J. Kahan, A. Razi, K. E. Stephan, O. Sporns (2014)“On nodes and modes in resting state fMRI”, NeuroImage, Volume 99, pp. 533-547. Link

14. K. J. Friston, J. Kahan, B. Biswal, A. Razi, (2014)“A DCM for resting state fMRI”, NeuroImage, Volume 94, pp. 396-407. Link

13. A. Razi, D. J. Ryan, J. Yuan, I. B. Collings (2014) “Sum Rates for Regularized Vector Perturbation Multi User MIMO Systems”, Elsevier Physical Communications (PHYCOM), vol. 13, part C, pp. 187-196. Link

2013 and earlier

12. M. O. Mughal, A. Razi, S. S. Alam, L. Marcenaro, C. S. Regazzoni, “Analysis of Energy Detector in Cooperative Relay Networks for Cognitive Radios”, in proceedings of Next Generation Mobile Apps, Services and Technologies (NGMAST), IEEE, 2013. Link

11. G. Geraci, M. Egan, J. Yuan, A. Razi, I. B. Collings (2012) “Secrecy Sum-Rates for Multi-User MIMO Reg-ularized Channel Inversion Precoding”, IEEE Trans. Communications, vol.60, no.11, pp.3472-3482. Link

10. A. Razi, Y. Shao, J. Yuan (2012) “User Scheduling for Multi-antenna Downlink Channels with Limited Feedback”, Trans. Emerging Tel. Tech., 23: 36-49. Link

9. A. Razi, D. J. Ryan, I. B. Collings, J. Yuan (2010) “Sum Rates, Rate Allocation, and User Scheduling for Multi-user MIMO Vector Perturbation Precoding”, IEEE Trans. Wireless Communications, vol.9, no.1, pp.356-365. Link

8. A. Razi, D. J. Ryan, J. Yuan, I. B. Collings, “Sum Rates for Regularized Vector Perturbation Multi-User MIMO Systems”, in proceedings of IEEE ISWCS 2011. Link

7. Giovanni Geraci, J. Yuan, A. Razi, I. B. Collings, “Secrecy Sum Rates for Regularized Zero-Forcing Multi-User MIMO Systems, in proceedings of IEEE ISWCS 2011. Link

6. H.Q. Huynh, S.I. Husain, J. Yuan, A. Razi, D.S. Taubman (2010) “Performance Analysis of Multi-branch Dual-hop Non-regenerative Relay Systems”, Eurasip Journal on Wireless Communications and Networking, vol. 2010, Article ID 835498. Link

5. A. Razi, D. J. Ryan, J. Yuan, I. B. Collings, “Performance of Vector Perturbation Multi-User MIMO Systems over Correlated Channels”, in proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Sydney, Australia, April 2010. Link

4. H.Q. Huynh, S.I. Husain, J. Yuan, A. Razi, D.S. Taubman, “Performance Analysis of Multi-branch Non-regenerative Relay Systems”, in proceedings of IEEE Vehicular Technology Conference (VTC), An-chorage, USA, Sep 2009. Link

3. A. Razi, D. J. Ryan, I. B. Collings, J. Yuan, “Sum Rates and User Scheduling for Multi-user MIMO Vector Perturbation Precoding”, in proceedings of IEEE Int. Conference on Communications (ICC), Dresden, Germany, June 2009. Link Won Student Travel Grant from IEEE ComSoc

2. A. Razi, J. Yuan, “Feedback Reduction Schemes for MIMO Broadcast Channels”, in proceedings of IEEE Int. Symp. on Personal Indoor and Mobile Radio Communications (PIMRC), Cannes, France, Sep. 2008. Link

1. U. Waheed, W. Abdullah, A. Razi, “Comparison of Time domain and Frequency Domain Equalizers for Indoor Ultra-Wideband Systems” in the proceedings of IEEE. SIBRICON, Novosibirsk, Russia, July 2008. Link