Publications+ Lab trainee
* Joint senior author ^ Joint first author Preprints13. M.D. Greaves+, L. Novelli+, A. Razi, (2024) ‘‘Structurally informed resting-state effective connectivity recapitulates cortical hierarchy", bioRxiv. Link 12. 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 11. 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 10. A. Paul+, T. Isomura, A. Razi, (2024) ‘‘On predictive planning and counterfactual learning in active inference", arXiv. Link 9. 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 8. 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 7. 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 6. A. Paul+, N. Sajid, L. Da Costa, A. Razi, (2023) ‘‘On efficient computation in active inference", arXiv. Link 4. E. Kennedy et al., (2023) ‘‘Linking Symptom Inventories using Semantic Textual Similarity", arXiv. Link 4. T. Sultana+, M. A. Hasan, A. Razi, (2023) ‘‘Investigating the association of resting-state brain effective connectivity with basic negative emotions", bioRxiv. Link 3. 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 2. D. Stoliker+, K. Preller, A. Anticevic, G. Egan, F. Vollenweider*, and A. Razi*, (2022) ‘‘Neural mechanisms of imagery under psilocybin", medRxiv. Link 1. 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 Special Issue4. 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 papers202499. 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 98. S. Ereira, S. Waters, A. Razi, C. Marshall, (2024) ‘‘Early detection of dementia with default-mode network effective connectivity", Nature Mental Health. In press. Link 97. 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 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. In press. 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. In press. 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. In press. Link 202393. 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 92. L. Novelli+, K. J. Friston, A. Razi, (2023) ‘‘Spectral dynamic causal modelling: A didactic introduction and its relationship with functional connectivity", Network Neuroscience. In press. Link 91. J. Wang, B. Li, J. Liu, J. Li, A. Razi, K. Zheng, B. Yan, H. Wang, H. Lu, K.J. Friston, (2023) ‘‘Large-scale effective connectivity analysis reveals the existence of two mutual inhibitory systems in patients with major depression", Neuroimage Clinical. In press. Link 90. M. Avram, F. Müller, K. H. Preller, A. Razi, H. Rogg, A. Korda, F. Holze, P. Vizeli, L. Ley, M. E. Liechti, S. Borgwardt0, (2023) ‘‘Effective-connectivity of thalamocortical interactions following d-amphetamine, LSD, and MDMA administration", Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. In press. 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. 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 202280. 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 202169. 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. 202058. 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 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 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 201946. 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. 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 201838. 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 201730. 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 201623. 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 201519. 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 201415. 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 earlier12. 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 |