Publications

Preprints

  1. K. Rasheed, J. Qadir, T. J. O'Brien, L. Kuhlhmann, A. Razi, (2020) ‘‘A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction". arXiv:2012.00430. Link

  2. K. J. Friston, G. Flandin, A. Razi,‘‘Dynamic causal modelling of mitigated epidemiological outcomes", arXiv:2011.12400. Link

  3. E. Hidalgo-Lopez, P. Zeidman, T. Harris, A. Razi, B. Pletzer,‘‘Predicting ovulation from brain connectivity: Dynamic causal modelling of the menstrual cycle", bioRxiv. Link

  4. K. Voigt, A. Razi, I. H. Harding, Z. B. Andrews, A. Verdejo-Garcia, (2020)‘‘Neural network modelling reveals changes in directional connectivity between cortical and hypothalamic regions in obesity”, bioRxiv. Link

Special Issue

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

Journal Papers

2020

  1. K. J. Friston, E. D. Fagerholm, T. S. Zarghami, T. Parr, I. Hipolito, L. Magrou, A. Razi, (2020)‘‘Parcels and particles: Markov blankets in the brain", Network Neuroscience. In press. Link

  2. 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

  3. 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

  4. 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

  5. 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. In press. Link
    Here is the accompanying website which is constantly updated with new datasets and other community resources.

  6. 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.

  7. K. Rasheed, A. Qayyum, J. Qadir, S. Sivathamboo, P. Kwan, L. Kuhlmann, T. J. O'Brien, A. Razi, (2020) ‘‘Machine learning for predicting epileptic seizures using EEG signals: A review”, IEEE Reviews in Biomedical Engineering. In press. Link

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

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

  2. 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

  3. 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)

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  1. 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

  2. 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

  3. 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

  4. 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

  1. 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)

  2. 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

  3. 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

  4. 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

  1. 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

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

  3. 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

  1. 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

  2. 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

  3. 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

  4. 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)

  1. 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 proceeding of 21st International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), Granada Spain, Sep 2018. Link

  2. 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

  3. 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

  4. 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

  6. 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

  7. 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

  8. 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

  9. 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