Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Meysam Hashemi"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 7, p e1011642 (2024)
The Virtual Epileptic Patient (VEP) refers to a computer-based representation of a patient with epilepsy that combines personalized anatomical data with dynamical models of abnormal brain activities. It is capable of generating spatio-temporal seizur
Externí odkaz:
https://doaj.org/article/af1e1b5ca08e4992b0f50864278501c3
Autor:
Mario Lavanga, Johanna Stumme, Bahar Hazal Yalcinkaya, Jan Fousek, Christiane Jockwitz, Hiba Sheheitli, Nora Bittner, Meysam Hashemi, Spase Petkoski, Svenja Caspers, Viktor Jirsa
Publikováno v:
NeuroImage, Vol 283, Iss , Pp 120403- (2023)
The mechanisms of cognitive decline and its variability during healthy aging are not fully understood, but have been associated with reorganization of white matter tracts and functional brain networks. Here, we built a brain network modeling framewor
Externí odkaz:
https://doaj.org/article/b6701f6ff8304dfca28bbb5b9f408cf0
Autor:
Meysam Hashemi, Abolfazl Ziaeemehr, Marmaduke M Woodman, Jan Fousek, Spase Petkoski, Viktor K Jirsa
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035019 (2024)
Connectome-based models, also known as virtual brain models (VBMs), have been well established in network neuroscience to investigate pathophysiological causes underlying a large range of brain diseases. The integration of an individual’s brain ima
Externí odkaz:
https://doaj.org/article/9d48e387ae2b478daeed64c9742ab3ed
Autor:
Anirudh N. Vattikonda, Meysam Hashemi, Viktor Sip, Marmaduke M. Woodman, Fabrice Bartolomei, Viktor K. Jirsa
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
Vattikonda et al. combine a conceptual mathematical model of seizure generation with personalized information about brain connectivity to tackle the challenge of predictive brain surgery. The validated model was used to successfully determine the out
Externí odkaz:
https://doaj.org/article/10442188b43a4d09a994b28b4ceaa22e
Autor:
Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Prodan, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Gustavo Deco, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid, Jan G. Bjaalie, Katrin Amunts, Jochen Mersmann, Viktor Jirsa, Petra Ritter
Publikováno v:
NeuroImage, Vol 251, Iss , Pp 118973- (2022)
The Virtual Brain (TVB) is now available as open-source services on the cloud research platform EBRAINS (ebrains.eu). It offers software for constructing, simulating and analysing brain network models including the TVB simulator; magnetic resonance i
Externí odkaz:
https://doaj.org/article/0f18a5ffed99423bbcf750bc9eb638bf
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035048 (2023)
Alcohol use disorder (AUD), also called alcohol dependence, is a major public health problem, affecting almost $10 \%$ of the world’s population. Baclofen, as a selective $\mathrm{GABA}_\mathrm{B}$ receptor agonist, has emerged as a promising drug
Externí odkaz:
https://doaj.org/article/51dfd62f57324b1fa20d56261a7e6bad
Autor:
Meysam Hashemi, Anirudh N Vattikonda, Viktor Sip, Sandra Diaz-Pier, Alexander Peyser, Huifang Wang, Maxime Guye, Fabrice Bartolomei, Marmaduke M Woodman, Viktor K Jirsa
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009129 (2021)
Individualized anatomical information has been used as prior knowledge in Bayesian inference paradigms of whole-brain network models. However, the actual sensitivity to such personalized information in priors is still unknown. In this study, we intro
Externí odkaz:
https://doaj.org/article/f18937fa6a4141e2811371d370af1a29
Autor:
Viktor Sip, Meysam Hashemi, Anirudh N Vattikonda, Marmaduke M Woodman, Huifang Wang, Julia Scholly, Samuel Medina Villalon, Maxime Guye, Fabrice Bartolomei, Viktor K Jirsa
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008689 (2021)
Surgical interventions in epileptic patients aimed at the removal of the epileptogenic zone have success rates at only 60-70%. This failure can be partly attributed to the insufficient spatial sampling by the implanted intracranial electrodes during
Externí odkaz:
https://doaj.org/article/8b6015faa36c4039adee2e0371b4eeed
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0179286 (2017)
In recent years, more and more surgeries under general anesthesia have been performed with the assistance of electroencephalogram (EEG) monitors. An increase in anesthetic concentration leads to characteristic changes in the power spectra of the EEG.
Externí odkaz:
https://doaj.org/article/4c998032fc8d49649aad169bbd585a0d
Autor:
Meysam Hashemi, Anirudh N. Vattikonda, Jayant Jha, Viktor Sip, Marmaduke M. Woodman, Fabrice Bartolomei, Viktor K. Jirsa
Publikováno v:
Neural Networks. 163:178-194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d670b21a0be31134abdccd09e86b6272
https://doi.org/10.1016/j.neunet.2023.03.040
https://doi.org/10.1016/j.neunet.2023.03.040