Accepted peer-reviewed:

♧ H. Wang, P. Triebkorn, M. Breyton, B. Dollomaja, JD. Lemaréchal, S. Petkoski, P. Sorrentino, D. Depannemaecker, M. Hashemi, V. Jirsa. "Virtual brain twins: from basic neuroscience to clinical use". National Science Review. 2024 Feb: nwae079. DOI: https://doi.org/10.1093/nsr/nwae079

♧ N. Baldya, N. Simon, V. Jirsa, M. Hashemi. "Hierarchical Bayesian pharmacometrics analysis of Baclofen for alcohol use disorder". Machine Learning: Science and Technology. 2023 Sept 14;4(3):035048. DOI: 10.1088/2632-2153/acf6aa

♧ M. Lavanga, J. Stumme, BH. Yalcinkaya, J. Fousek, C. Jockwitz, H. Sheheitli, N. Bittner, M. Hashemi, S. Petkoski, S. Caspers, V. Jirsa. "The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging". NeuroImage. 2023 December 1; 283:120403. DOI: https://doi.org/10.1016/j.neuroimage.2023.120403

♧ M. Hashemi, AN. Vattikonda, J. Jha, V. Sip, MM. Woodman, F. Bartolomei, V. Jirsa. "Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators". Neural Networks. 2023 June 1; Volume 163, 178-194. DOI: https://doi.org/10.1016/j.neunet.2023.03.040

♧ V. Jirsa, H. Wang, P. Triebkorn, M. Hashemi, J. Jha, J. Gonzalez-Martinez, M. Guye, J. Scholly, F. Bartolomei. "Personalized virtual brain models in epilepsy". The Lancet Neurology. 2023 Mar 24; Volume 22, Issue 5, 443-54. DOI: https://doi.org/10.1016/S1474-4422(23)00008-X

♧ H. Wang, M. Woodman, P. Triebkorn, JD. Lemarechal, J. Jha, B. Dollomaja, AN. Vattikonda, V. Sip V, SM. Villalon, M. Hashemi, M. Guye, J. Scholly , F. Bartolomei, V. Jirsa. "Delineating epileptogenic networks using brain imaging data and personalized modelling in patients with drug-resistant epilepsy". Science Translational Medicine. 2023 Jan 25; 15 (680):eabp8982. DOI: 10.1126/scitranslmed.abp8982

♧ V. Sip V, M. Hashemi, T. Dickscheid, K. Amunts, S. Petkoski, V. Jirsa. "Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics". Science Advances. 2023 March 17; 9(11), eabq7547. DOI: 10.1126/sciadv.abq7547

♧ J. Jha, M. Hashemi, AN. Vattikonda, H. Wang, V. Jirsa. "Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo". Machine Learning: Science and Technology. 2022 Sep 26;3(3):035016. DOI: 10.1088/2632-2153/ac9037

♧ M. Schirner, et al. "Brain simulation as a cloud service: The Virtual Brain on EBRAINS". NeuroImage. 2022 May 1;251:118973. DOI: https://doi.org/10.1016/j.neuroimage.2022.118973

♧ AN. Vattikonda, M. Hashemi, V. Sip, MM. Woodman, F. Bartolomei, V. Jirsa. "Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference". Nature Communications Biology. 2021 Nov 1;4(1):1-3. DOI: https://doi.org/10.1038/s42003-021-02751-5

♧ M. Hashemi, AN. Vattikonda, V. Sip, M. Guye, F. Bartolomei, MM. Woodman, and V. Jirsa. "On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread". PLoS Computational Biology. 2021 Jul 14;17(7):e1009129. DOI: https://doi.org/10.1371/journal.pcbi.1009129

♧ V. Sip, M. Hashemi, AN. Vattikonda, MM. Woodman, H. Wang, J. Scholly, S. Medina Villalon, M. Guye, F. Bartolomei, V. Jirsa. "Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography". PLoS Computational Biology. 2021 Feb 17;17(2):e1008689. DOI: https://doi.org/10.1371/journal.pcbi.1008689

♧ M. Hashemi, AN. Vattikonda, V. Sip, M. Guye, F. Bartolomei, M.M. Woodman, and V. Jirsa. "The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread". NeuroImage. 2020 Aug 15;217:116839. DOI: https://doi.org/10.1016/j.neuroimage.2020.116839

♧ M. Hashemi, A. Hutt, L. Buhry, J. Sleigh. "Optimal model parameter estimation from EEG power spectrum features observed during general anesthesia". Neuroinformatics. 2018 Apr;16(2):231-51. DOI: https://doi.org/10.1007/s12021-018-9369-x (View Pdf)

♧ M. Hashemi, A. Hutt, J. Sleigh. "Anesthetic action on the transmission delay between cortex and thalamus explains the beta-buzz observed under propofol anesthesia". PLoS One. 2017 Jun 16;12(6):e0179286. DOI: https://doi.org/10.1371/journal.pone.0179286

♧ M. Hashemi, A. Hutt, L. Buhry, J. Sleigh. "How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation". Journal of Computational Neuroscience. 2015 Oct;39(2):155-79. DOI: https://doi.org/10.1007/s10827-015-0569-1 (View Pdf)

♧ M. Hashemi, A. Hutt, J. Sleigh. "Anesthetic action on extra-synaptic receptors: effects in neural population models of EEG activity". Frontiers in Systems Neuroscience. 2014 Dec 10;8:232 DOI: https://doi.org/10.3389/fnsys.2014.00232

♧ M. Hashemi, A. Valizadeh, A. Azizi. "Effect of duration of synaptic activity on spike rate of a Hodgkin-Huxley neuron with delayed feedback". Physical Review E. 2012 Feb 21;85(2):021917. DOI: https://doi.org/10.1103/PhysRevE.85.021917 (View Pdf)

Submitted non-peer-reviewed:

♧ M. Hashemi, A. Ziaeemehr, MM. Woodman, S. Petkoski, V. Jirsa. "Probabilistic inference on virtual brain models of disorders". bioRxiv. 2024 February 23. DOI: https://doi.org/10.1101/2024.02.21.581243

♧ N. Baldy, MM. Woodman, M. Breyton, V. Jirsa, M. Hashemi. "Efficient inference on a network of spiking neurons using deep learning". bioRxiv. 2024 January 26. DOI: https://doi.org/10.1101/2024.01.26.577077

♧ JD. Lemaréchal, P. Triebkorn, AN. Vattikonda, M. Hashemi, MM. Woodman, M. Guye, F. Bartolomei, H. Wang, V. Jirsa. "Effects of the spatial resolution of the Virtual Epileptic Patient on the identification of epileptogenic networks". submitted.

♧ P. Sorrentino, A. Pathak, E. Troisi Lopez, L. Cipriano, A. Romano, S. Bonavita, M. Quarantelli, A. Banerjee, G. Sorrentino, M. Hashemi ^✳, V. Jirsa ^✳. "The virtual multiple sclerosis patient: on the clinical-radiological paradox". medRxiv. 2023 Dec 1. DOI: https://doi.org/10.1101/2023.12.01.23299274

♧ DR. Penas ^✳, M. Hashemi ^✳, V. Jirsa, JR. Banga. "Parameter estimation in a whole-brain network model of epilepsy: comparison of parallel global optimization solvers". bioRxiv. 2023 Nov 3. DOI: https://doi.org/10.1101/2023.11.01.565083

♧ AN. Vattikonda, MM. Woodman, JD. Lemaréchal, D. Daini, M. Hashemi, F. Bartolomei, V. Jirsa. "Improving epileptogenic zone estimation using Bayesian inference on neural field models". medRxiv. 2023 Oct 3. DOI: https://doi.org/10.1101/2023.10.01.23296377

♧ G. Rabuffo, HA. Lokossou, Z. Li, A. Ziaee-Mehr, M. Hashemi, P. Quilichini, A. Ghestem, O. Arab, M. Esclapez, P. Verma, A. Raj, A. Gozzi, P. Sorrentino, KH. Chuang, TA. Perles-Barbacaru, A. Viola, V. Jirsa, C. Bernard. "Probing the Mechanisms of Global Brain Reconfiguration after Local Manipulations". bioRxiv. 2023 Sep 9. DOI: https://doi.org/10.1101/2023.09.08.556815

♧ BH. Yalcinkaya, A. Ziaeemehr, J. Fousek, M. Hashemi, M. Lavanga, A. Solodkin, AR. McIntosh, V. Jirsa, S. Petkoski. "Personalized virtual brains of Alzheimer’s Disease link dynamical biomarkers of fMRI with increased local excitability". medrxiv. 2022 Jan 1. DOI: https://doi.org/10.1101/2023.01.11.23284438

♧ HE. Wang, MM. Woodman, P.Triebkorn, JD. Lemarechal, J. Jha, B. Dollomaja, AN. Vattikonda, V. Sip, SM. Villalon, M. Hashemi, M. Guye, F. Bartolomei, V. Jirsa. "Virtual Epileptic Patient (VEP): Data-driven probabilistic personalized brain modeling in drug-resistant epilepsy". medrxiv. 2022 Jan 1. DOI: https://doi.org/10.1101/2022.01.19.22269404

♧ V. Sip, S. Petkoski, M. Hashemi, T. Dickscheid, K. Amunts, V. Jirsa. "Parameter inference on brain network models with unknown node dynamics and spatial heterogeneity". bioRxiv. 2022 Jan 1. DOI: https://doi.org/10.1101/2021.09.01.458521

Book chapters:

♧ M. Hashemi and A. Hutt. "A thalamocortical model to explain EEG during anaesthesia". book chapter, In: A. Pelster and G. Wunner (Eds.), Selforganization in Complex Systems: The Past, Present, and Future of Synergetics, Understanding Complex Systems. Springer (2015), pp 305-312 DOI: 10.1007/978-3-319-27635-9_20 (View Pdf)

♧ A. Hutt, M. Hashemi, P. Graben. "How to render Neural Fields more realistic". book chapter, In: B. Bhattacharya and F. N. Chowdhury (Eds.), Validating Neuro-Computational Models of Neurological and Psychiatric Disorders. Springer Series in Computational Neuroscience (2015), pp 141-159. DOI: 10.1007/978-3-319-20037-8_6 (View Pdf)

Patents:

♧ "A Method for Inferring Epileptogenicity of a Brain Region". Publication date: 07.10.2021. number PCT/EP2020/059511, N/Réf : 1171 // TVB BVEP - Réf/AMU : 19D050 - Réf/INSERM: TIE19318JIRSA/DH. (See here)

♧ "Method for Inferring a Change in a Whole-brain Network and System with Stimulation". Submitted to European Patent Office, Submission number: 11964801, application number: EP23169081.9., reference: 11861EP.

♧ "Bayesian Inversion of Whole-Brain Model of Epilepsy based on Real SEEG Recording". Submitted.

♧ "Computer-Implemented Method for Inferring a Conduction Velocity of a Subject's Brain". In prepration.

Published abstracts:

♧ V. Sip, V. Jirsa, M. Hashemi, A.N. Vattikonda, J. Jha. "Model inversion techniques for seizure spread in individual brain networks". BMC Neuroscience. CNS 2021. (View Pdf)

♧ M. Hashemi, A.N. Vattikonda, V. Sip, M. Guye, F. Bartolomei, M.M. Woodman, and V.K. Jirsa. "Inferring the dynamic of personalized large-scale brain network models using Bayesian framework". BMC Neuroscience. CNS 2019. (View Pdf)

♧ M. Hashemi, A. Hutt and J. Sleigh. "Fitting a thalamo-cortical model to EEG power spectrum using evolutionary algorithm". Antibes- Juan les Pins, France, ICMNS 2015. (View Pdf)

♧ M. Hashemi, A. Hutt and J. Sleigh. "Thalamo-cortical mechanisms of the observed Specific changes in frontal and occipital EEG rhythms during the propofol- induced sedation". BMC Neuroscience. CNS 2015, 16: P232. (View Pdf)

♧ M. Hashemi, A. Hutt and J. Sleigh, and P. Graben. "Reproduction of EEG power spectrum over frontal region during the propofol-induced general anesthesia". BMC Neuroscience. CNS 2014, 15: P211. (View Pdf)

♧ M. Hashemi, A. Hutt. "A thalamocortical model to explain EEG during anesthesia". BMC Neuroscience. CNS 2013, 14: P177. (View Pdf)

PhD Thesis (thèses doctorat):

♧ M. Hashemi. "Analytical and numerical studies of thalamo-cortical neural population models during general anesthesia" (Modélisation mathématique et simulation numérique de populations neuronales thalamo-corticales dans le contexte de l'anesthésie générale). Computer Science. Université de Lorraine, 2016. (View Pdf)

Master Thesis:

♧ M. Hashemi. "Effect of the duration of the synaptic activity on a delayed recurrent neuronal loop" (اثر ثابت زمانی فعالیت سیناپسی بر یک حلقه نورونی با بازخورد تاخیردار). Physics, Soft Condensed Matter. IASBS, 2012. (View Pdf)