Review Articles

#3 Principles and Operation of Virtual Brain Twins
Hashemi M*†, Depannemaecker D†, Saggio M†, Triebkorn P, Rabuffo G, Fousek J, Ziaeemehr A, Sip V, Athanasiadis A, Breyton M, Woodman M, Wang H, Petkoski S, Sorrentino P, Jirsa V.
IEEE Reviews in Biomedical Engineering. 2025 Apr 21. DOI: 10.1109/RBME.2025.3562951
#2 Virtual brain twins: from basic neuroscience to clinical use
Wang HE, Triebkorn P, Breyton M, Dollomaja B, Lemarechal JD, Petkoski S, Sorrentino P, Depannemaecker D, Hashemi M, Jirsa V.
National Science Review. 2024 Feb 28;11(5):nwae079. DOI: 10.1093/nsr/nwae079
#1 Personalised virtual brain models in epilepsy
Jirsa V, Wang H, Triebkorn P, Hashemi M, Jha J, Gonzalez-Martinez J, Guye M, Makhalova J, Bartolomei F.
The Lancet Neurology. 2023 May;22(5):443–454. DOI: 10.1016/S1474-4422(23)00008-X

Accepted Peer-Reviewed Articles

#30 High-resolution Bayesian Virtual Epileptic Patient using neural field models
Vattikonda AN†, Hashemi M†*, Woodman MM, Lemarechal JD, Daini D, Bartolomei F, Jirsa V†.
Network Neuroscience (accepted).
#29 Probabilistic inference of social presence across brain scales reveals enhanced synaptic efficacy
Esmaeili A, Demolliens M, Viersen M, Ziaeemehr A, Isbaine F, Huguet P, Zaal F, Jirsa V†, Boussaoud D†, Hashemi M†*.
Communication Biology. 2025 Nov 19;8(1):1608. DOI: 10.1038/s42003-025-08971-3
#28 Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models
Ziaeemehr A, Woodman M, Domide L, Petkoski S, Jirsa V†, Hashemi M†*.
eLife. 2025;14:RP106194. DOI: 10.7554/eLife.106194.4
#27 Dynamic Causal Modeling in Probabilistic Programming Languages
Baldy N, Woodman M, Jirsa V†, Hashemi M†*.
Journal of the Royal Society Interface. 2025 Jun;22(227):20240880. DOI: 10.1098/rsif.2024.0880
#25 The Virtual Parkinsonian Patient
Angiolelli M, Depannemaecker D, Agouram H, Régis J, Carron R, Woodman M, Chiodo L, Triebkorn P, Ziaeemehr A, Hashemi M, Eusebio A, Jirsa V, Sorrentino P.
NPJ Systems Biology and Applications. 2025 Apr 26;11(1):40. DOI: 10.1038/s41540-025-00516-y
#24 Mapping Brain Lesions to Conduction Delays: The Next Step for Personalized Brain Models in Multiple Sclerosis
Mazzara C, Ziaeemehr A, Troisi Lopez E, Cipriano L, Angiolelli M, Sparaco M, Quarantelli M, Granata C, Sorrentino G, Hashemi M, Jirsa V, Sorrentino P.
Human Brain Mapping. 2025 May;46(7):e70219. DOI: 10.1002/hbm.70219
#23 PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology
Dehghani Soufi M, Shirkoohi R, Sanaat Z, Torkamannia A, Hashemi M, Jahandar-Lashaki S, Yousefpour Marzbali M, Vaez Y, Ferdousi R.
JCO Clinical Cancer Informatics. 2025 Mar;9:e2400246. DOI: 10.1200/CCI-24-00246
#22 Mapping global brain reconfigurations following local targeted manipulations
Rabuffo G, Lokossou HA, Li Z, Ziaee-Mehr A, Hashemi M, Quilichini PP, Ghestem A, Arab O, Esclapez M, Verma P, Raj A, Gozzi A, Sorrentino P, Chuang KH, Perles-Barbacaru TA, Viola A, Jirsa V, Bernard C.
Proc. Natl. Acad. Sci. U.S.A. 2025 Apr 22;122(16):e2405706122. DOI: 10.1073/pnas.2405706122
#21 Inference on the macroscopic dynamics of spiking neurons
Baldy N, Breyton M, Woodman MM, Jirsa VK†, Hashemi M†*.
Neural Computation. 2024 Sep 17;36(10):2030–2072. DOI: 10.1162/neco_a_01701
#20 Simulation-based inference on virtual brain models of disorders
Hashemi M*, Ziaeemehr A, Woodman MM, Fousek J, Petkoski S, Jirsa V.
Machine Learning: Science and Technology. 2024 Jul 19;5(3):035019. DOI: 10.1088/2632-2153/ad6230
#19 The virtual multiple sclerosis patient
Sorrentino P, Pathak A, Ziaeemehr A, Troisi Lopez E, Cipriano L, Romano A, Sparaco M, Quarantelli M, Banerjee A, Sorrentino G, Jirsa† V, Hashemi M†*.
iScience. 2024 May 24;27(7):110101. DOI: 10.1016/j.isci.2024.110101
#18 Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers
Penas DR†, Hashemi M†, Jirsa V, Banga JR.
PLOS Computational Biology. 2024 Jul 11;20(7):e1011642. DOI: 10.1371/journal.pcbi.1011642
#17 Effects of the spatial resolution of the Virtual Epileptic Patient on the identification of epileptogenic networks
Lemaréchal JD, Triebkorn P, Vattikonda AN, Hashemi M, Woodman M, Guye M, Bartolomei F, Wang HE, Jirsa V.
Imaging Neuroscience. 2024 May 8;2:imag-2-00153. DOI: 10.1162/imag_a_00153
#16 Hierarchical Bayesian pharmacometrics analysis of Baclofen for alcohol use disorder
Baldy N, Simon N, Jirsa V, Hashemi M†*.
Machine Learning: Science and Technology. 2023 Sep 14;4(3):035048. DOI: 10.1088/2632-2153/acf6aa
#15 The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging
Lavanga M, Stumme J, Yalcinkaya BH, Fousek J, Jockwitz C, Sheheitli H, Bittner N, Hashemi M, Petkoski S, Caspers S, Jirsa V.
NeuroImage. 2023 Dec 1;283:120403. DOI: 10.1016/j.neuroimage.2023.120403
#14 Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators
Hashemi M*, Vattikonda AN, Jha J, Sip V, Woodman M, Bartolomei F, Jirsa V.
Neural Networks. 2023 Jun;163:178–194. DOI: 10.1016/j.neunet.2023.03.040
#13 Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy
Wang H, Woodman M, Triebkorn P, Lemarechal JD, Jha J, Dollomaja B, Vattikonda AN, Sip V, Medina Villalon S, Hashemi M, Guye M, Makhalova J, Bartolomei F, Jirsa V.
Science Translational Medicine. 2023 Jan 25;15(680):eabp8982. DOI: 10.1126/scitranslmed.abp8982
#12 Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics
Sip V, Hashemi M, Dickscheid T, Amunts K, Petkoski S, Jirsa V.
Science Advances. 2023 Mar 15;9(11):eabq7547. DOI: 10.1126/sciadv.abq7547
#11 Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo
Jha J, Hashemi M, Vattikonda AN, Wang H, Jirsa V.
Machine Learning: Science and Technology. 2022 Sep 26;3(3):035016. DOI: 10.1088/2632-2153/ac9037
#10 Brain simulation as a cloud service: The Virtual Brain on EBRAINS
Schirner M... Hashemi M... Ritter P.
NeuroImage. 2022 May 1;251:118973. DOI: 10.1016/j.neuroimage.2022.118973
#9 Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
Vattikonda AN, Hashemi M, Sip V, Woodman MM, Bartolomei F, Jirsa V.
Communications Biology. 2021 Nov 1;4(1):1244. DOI: 10.1038/s42003-021-02751-5
#8 On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread
Hashemi M*, Vattikonda AN, Sip V, Diaz-Pier S, Peyser A, Wang H, Guye M, Bartolomei F, Woodman MM, Jirsa V.
PLoS Computational Biology. 2021 Jul 14;17(7):e1009129. DOI: 10.1371/journal.pcbi.1009129
#7 Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography
Sip V, Hashemi M, Vattikonda AN, Woodman MM, Wang H, Scholly J, Medina Villalon S, Guye M, Bartolomei F, Jirsa V.
PLoS Computational Biology. 2021 Feb 17;17(2):e1008689. DOI: 10.1371/journal.pcbi.1008689
#6 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
Hashemi M*, Vattikonda AN, Sip V, Guye M, Bartolomei F, Woodman MM, Jirsa V.
NeuroImage. 2020 Aug 15;217:116839. DOI: 10.1016/j.neuroimage.2020.116839
#5 Optimal model parameter estimation from EEG power spectrum features observed during general anesthesia
Hashemi M*, Hutt A, Buhry L, Sleigh J.
Neuroinformatics. 2018 Apr;16(2):231–251. DOI: 10.1007/s12021-018-9369-x (View PDF)
#4 Anesthetic action on the transmission delay between cortex and thalamus explains the beta-buzz observed under propofol anesthesia
Hashemi M*, Hutt A, Hight D, Sleigh J.
PLoS One. 2017 Jun 16;12(6):e0179286. DOI: 10.1371/journal.pone.0179286
#3 How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation
Hashemi M*, Hutt A, Sleigh J.
Journal of Computational Neuroscience. 2015 Oct;39(2):155–179. DOI: 10.1007/s10827-015-0569-1 (View PDF)
#2 Anesthetic action on extra-synaptic receptors: effects in neural population models of EEG activity
Hashemi M*, Hutt A, Sleigh J.
Frontiers in Systems Neuroscience. 2014 Dec 10;8:232. DOI: 10.3389/fnsys.2014.00232
#1 Effect of duration of synaptic activity on spike rate of a Hodgkin-Huxley neuron with delayed feedback
Hashemi M, Valizadeh A, Azizi Y.
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics. 2012 Feb;85(2 Pt 1):021917. DOI: 10.1103/PhysRevE.85.021917 (View PDF)

Submitted Original Articles

#4 A deformable attractor manifold organizes human resting-state brain dynamics
Athanasiadis A, Woodman M, Hashemi M, Triebkorn P, Petkoski S, Jirsa V.
bioRxiv. 2025. DOI: 10.64898/2025.12.02.691788
#3 Data-driven mean-field within whole-brain models
Breyton M, Sip V, Woodman M, Hashemi M, Petkoski S, Jirsa V.
arXiv. 2025. DOI: 10.48550/arXiv.2509.02799
#2 Degeneracy in neuronal bifurcation landscapes: equivalent bifurcation sequences across distinct parameter sets
Cafaro G, Bernard C, Hashemi M, Depannemaecker D.
bioRxiv. 2025. DOI: 10.1101/2025.08.04.668451
#1 Personalized virtual brains of Alzheimer’s Disease link dynamical biomarkers of fMRI with increased local excitability
Yalçınkaya BH, Ziaeemehr A, Fousek J, Hashemi M, Lavanga M, Solodkin A, McIntosh AR, Jirsa VK, Petkoski S.
medRxiv. 2023. DOI: 10.1101/2023.01.11.23284438

Editorial

#1 Bridging the Gap Between Neuroscience and Artificial Intelligence
Kim CE, Sora AN, Hashemi M, Kang J.
Frontiers in Computational Neuroscience, 2023. (See here)

Book Chapters

#2 How to render Neural Fields more realistic
Hutt A, Hashemi M, Graben P.
In: Validating Neuro-Computational Models... Springer. 2015; pp. 141–159. DOI: 10.1007/978-3-319-20037-8_6 (View PDF)
#1 A thalamocortical model to explain EEG during anaesthesia
Hashemi M, Hutt A.
In: Self-Organization in Complex Systems... Springer. 2015; pp. 305–312. DOI: 10.1007/978-3-319-27635-9_20 (View PDF)

Patents

#4 A Method for Inferring Epileptogenicity of a Brain Region
Hashemi M, Sip V, Vattikonda AN, Woodman M, Jirsa V.
WO/2021/197612, PCT/EP2020/059511. (See here)
#3 Method for Inferring a Change in a Whole-brain Network and System with Stimulation
Hashemi M, Arbabyazd L, Williamson A, Jirsa V.
WO/2024/218403, PCT/EP2024/060977. (See here)
#2 Computer-Implemented Method for Inferring a Conduction Velocity of a Subject's Brain
Hashemi M, Sorrentino P, Jirsa V.
WO/2025/114407, PCT/EP2024/083847. (See here)
#1 Bayesian Inversion of Whole-Brain Model of Epilepsy based on Real SEEG Recording
Hashemi M, Jha J, Jirsa V.
Submitted. Réf/AMU: 21D051.

Published Abstracts

#7 Mapping brain lesions to conduction delays: the next step for personalized brain models in Multiple Sclerosis
Mazzara C... Hashemi M*.
CNS 2024. (See here)
#6 Model inversion techniques for seizure spread in individual brain networks
Sip V, Jirsa V, Hashemi M, Vattikonda AN, Jha J.
BMC Neuroscience, CNS 2021. (See here)
#5 Inferring the dynamic of personalized large-scale brain network models using Bayesian framework
Hashemi M*... Jirsa V.
BMC Neuroscience, CNS 2019. (See here)
#4 Fitting a thalamo-cortical model to EEG power spectrum using evolutionary algorithm
Hashemi M*, Hutt A, Sleigh J.
ICMNS 2015. (See here)
#3 Thalamo-cortical mechanisms of the observed specific changes in frontal and occipital EEG rhythms...
Hashemi M*, Hutt A, Sleigh J.
BMC Neuroscience CNS, 2015. (See here)
#2 Reproduction of EEG power spectrum over frontal region during the propofol-induced general anesthesia
Hashemi M*... Graben P.
BMC Neuroscience, CNS 2014. (See here)
#1 A thalamocortical model to explain EEG during anesthesia
Hashemi M*, Hutt A.
BMC Neuroscience, CNS 2013. (See here)

Theses

PhD Thesis: Analytical and numerical studies of thalamo-cortical neural population models during general anesthesia
M. Hashemi (2016)
Université de Lorraine, Computer Science. (View PDF)
Master Thesis: Effect of the duration of the synaptic activity on a delayed recurrent neuronal loop
M. Hashemi (2012)
IASBS, Physics. (View PDF)