Publications

+ Lab trainee
* Joint senior author
^ Joint first author

Preprints

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

6. 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.

5. T. Sultana+, M. A. Hasan, X. Kang, V. Liou-Johnson, M. M. Adamson*, and A. Razi*, (2022) ‘‘Neural mechanisms of emotional health in traumatic brain injury patients undergoing rTMS treatment", medRxiv. Link

4. D. Stoliker+, K. Preller, A. Anticevic, G. Egan, F. Vollenweider*, and A. Razi*, (2022) ‘‘Neural mechanisms of imagery under psilocybin", medRxiv. Link

3. D. Stoliker+, L. Novelli+, F. Vollenweider, A. Anticevic, G. Egan, K. Preller*, and A. Razi*, (2022) ‘‘Effective connectivity of emotion and cognition under psilocybin", medRxiv. Link

2. J. Liu, H. Li, T. Huang, E. Ahn, A. Razi, W. Xiang, (2022) ‘‘Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation", arXiv. Link

1. A. Paul+, N. Sajid, M. Gopalkrishnan, A. Razi, (2021) ‘‘Active inference for stochastic control", arXiv. Link

Special Issue

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.”, Interface Focus. Link

2. A. Razi, Andreea Diaconescu, Pamela K. Douglas, Michael Breakspear, (2022) “Generative modelling of brain dynamics in health and disease”, NeuroImage. Call for Paper. Submission deadline: 30 Sep 2022.

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

Journal Papers

2023

77. 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 from OHBM WHATNET: Workgroup for HArmonized Taxonomy of NETworks", Network Neuroscience. In press. Link

76. 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

75. 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.

74. 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. In press. Link

73. 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

72. 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.

71. 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.

2022

70. 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.

69. 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

68. 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

67. 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

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

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

64. 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. In press. Link

63. 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. In press. Link

62. 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

61. 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

60. 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

2021

59. 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

58. 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.

57. 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

56. 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

55. 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

54. 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

53. 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

52. 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

51. 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

50. 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

2020

49. 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

48. 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

47. 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

46. 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.

45. 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.

44. 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

43. 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

42. 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

41. 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

40. 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

39. 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

38. 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

2019

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

36. 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

35. 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)

34 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

33. 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

32. 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

31. 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

30. 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

2018

29. 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

28. 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

27. 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

26. 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

25. 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

24. 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

23. 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

2017

22. 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

21. 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

20. 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

19. 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

18. 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

17. 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

16. 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

2016

15. 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

14. 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

13. 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

12. 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

2015

11. 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)

10. 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

9. 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

8. 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

2014

7. 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

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

5. 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

4. 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

3. 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

2. 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

1. 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

Conference papers (Full length)

10. 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.

9. 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

8. 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

7. 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

6. 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

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 Won Student Travel Grant from IEEE ComSoc

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