Agouram, H., Neri, M., Angiolelli, M., Depannemaecker, D., Bahuguna, J., Schwey, A., Régis, J., Carron, R., Eusebio, A., Malfait, N., Daucé, E., & Sorrentino, P. (2024). L-dopa-induced changes in aperiodic bursts dynamics relate to individual clinical improvement in parkinson’s disease. medRxiv.

Amunts, K., Axer, M., Banerjee, S., Bitsch, L., Bjaalie, J. G., Brauner, P., Brovelli, A., Calarco, N., Carrere, M., Caspers, S., et al. (2024). The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing. Imaging Neuroscience, 2, 1–35.

Article  Google Scholar 

Angiolelli, M., Depannemaecker, D., Agouram, H., Ŕegis, J., Carron, R., Woodman, M., Chiodo, L., Triebkorn, P., Ziaeemehr, A., Hashemi, M., Eusebio, A., Jirsa, V., & Sorrentino, P. (2024). The virtual parkinsonian patient. medRxiv.

Balestrino, R., & Schapira, A. H. V. (2020). Parkinson disease. European Journal of Neurology, 27(1), 27–42.

Article  CAS  PubMed  Google Scholar 

Berry, A. S., Shah, V. D., Baker, S. L., Vogel, J. W., O’Neil, J. P., Janabi, M., Schwimmer, H. D., Marks, S. M., & Jagust, W. J. (2016). Aging affects dopaminergic neural mechanisms of cognitive flexibility. Journal of Neuroscience, 36(50), 12559–12569.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Birn, R. M., Converse, A. K., Rajala, A. Z., Alexander, A. L., Block, W. F., McMillan, A. B., Christian, B. T., Filla, C. N., Murali, D., Hurley, S. A., Jenison, R. L., & Populin, L. C. (2018). Changes in endogenous dopamine induced by methylphenidate predict functional connectivity in nonhuman primates. Journal of Neuroscience, 39(8), 1436–1444.

Article  PubMed  PubMed Central  Google Scholar 

Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010). Dopamine in motivational control: Rewarding, aversive, and alerting. Neuron, 68(5), 815–834.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Casagrande, G., Fedaravicius, A., Duprat, C., McIntosh, A. R., Sorrentino, P., Petkoski, S., Saudargiene, A., Jirsa, V., & Depannemaecker, D. (2025). Next generation neural mass model with dopamine modulation mediated by d1-type receptors. bioRxiv.

Chen, L., & Campbell, S. A. (2022). Exact mean-field models for spiking neural networks with adaptation. Journal of Computational Neuroscience.

Coombes, S. (2023). Next generation neural population models. Frontiers in Applied Mathematics and Statistics, 9, 1128224.

Article  Google Scholar 

Cragg, S. J., Hille, C. J., & Greenfield, S. A. (2000). Dopamine release and uptake dynamics within nonhuman primate striatumin vitro. Journal of Neuroscience, 20(21), 8209–8217.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Dahl, M. J., Bachman, S. L., Dutt, S., Düzel, S., Bodammer, N. C., Lindenberger, U., Kühn, S., Werkle-Bergner, M., & Mather, M. (2023). The integrity of dopaminergic and noradrenergic brain regions is associated with different aspects of late-life memory performance. Nature Aging, 3(9), 1128–1143.

Article  PubMed  PubMed Central  Google Scholar 

D’Angelo, E., & Jirsa, V. (2022). The quest for multiscale brain modeling. Trends in Neurosciences.

Depannemaecker, D. (2024). Would you publish unrealistic models? Biological Cybernetics, 119(1).

Depannemaecker, D., Ezzati, A., Wang, H. E., Jirsa, V., & Bernard, C. (2023a). From phenomenological to biophysical models of seizures. Neurobiology of Diseases, 182, 106131.

Article  CAS  Google Scholar 

Depannemaecker, D., Pio-Lopez, L., & Gauld, C. (2023b). Does deep learning have epileptic seizures? on the modeling of the brain. Cognitive Computation, 16(5), 2382–2388.

Article  Google Scholar 

Durstewitz, D. (2007). Dopaminergic modulation of prefrontal cortex network dynamics. In Monoaminergic modulation of cortical excitability (pp. 217–234). Springer.

Durstewitz, D., Kelc, M., & Güntürkün, O. (1999). A neurocomputational theory of the dopaminergic modulation of working memory functions. Journal of Neuroscience, 19(7), 2807–2822.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ebert, M., Hauptmann, C., & Tass, P. A. (2014). Coordinated reset stimulation in a large-scale model of the STN-GPE circuit. Frontiers in Computational Neuroscience, 8(NOV), 1–20.

Google Scholar 

Foffani, G., Priori, A., Egidi, M., Rampini, P., Tamma, F., Caputo, E., Moxon, K. A., Cerutti, S., & Barbieri, S. (2003). 300-hz subthalamic oscillations in parkinson’s disease. Brain, 126(10), 2153–2163.

Article  CAS  PubMed  Google Scholar 

Gao, C., Sun, X., & Wolf, M. E. (2006). Activation of d1 dopamine receptors increases surface expression of ampa receptors and facilitates their synaptic incorporation in cultured hippocampal neurons. Journal of Neurochemistry, 98(5), 1664–1677.

Article  CAS  PubMed  Google Scholar 

Guedj, C., Monfardini, E., Reynaud, A. J., Farné, A., Meunier, M., & Hadj-Bouziane, F. (2016). Boosting norepinephrine transmission triggers flexible reconfiguration of brain networks at rest. Cerebral Cortex.

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. (2024). Principles and operation of virtual brain twins.

Howes, O. D., & Shatalina, E. (2025). Integrating the neurodevelopmental and dopamine hypotheses of schizophrenia and the role of cortical excitation-inhibition balance. 92(6), 501–513.

Humphries, M. D., Lepora, N., Wood, R., & Gurney, K. (2009). Capturing dopaminergic modulation and bimodal membrane behaviour of striatal medium spiny neurons in accurate, reduced models. Frontiers in Computational Neuroscience, 3, 849.

Article  Google Scholar 

Hunger, L., Kumar, A., & Schmidt, R. (2020). Abundance compensates kinetics: Similar effect of dopamine signals on d1 and d2 receptor populations. Journal of Neuroscience, 40(14), 2868–2881.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Institute of Health Metrics and Evaluation. (2022). Global health data exchange (ghdx). Technical report. https://vizhub.healthdata.org/gbd-results/

Iskhakova, L., Rappel, P., Deffains, M., Fonar, G., Marmor, O., Paz, R., Israel, Z., Eitan, R., & Bergman, H. (2021). Modulation of dopamine tone induces frequency shifts in cortico-basal ganglia beta oscillations. Nature Communications, 12(1), 7026.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Izhikevich, E. M. (2006). Dynamical systems in neuroscience: The geometry of excitability and bursting. The MIT Press.

Izhikevich, E. M. (2003). Simple model of spiking neurons. IEEE Transactions on Neural Networks, 14(6), 1569–1572.

Article  CAS  PubMed  Google Scholar 

Jardri, R., & Denéve, S. (2013). Circular inferences in schizophrenia. Brain, 136, 3227–3241.

Article  PubMed  Google Scholar 

Johnson, L. A., Aman, J. E., Yu, Y., Sanabria, D. E., Wang, J., Hill, M., Dharnipragada, R., Patriat, R., Fiecas, M., Li, L., et al. (2021). High-frequency oscillations in the pallidum: A pathophysiological biomarker in parkinson’s disease? Movement Disorders, 36(6), 1332–1341.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Johnson, K. A., & Goody, R. S. (2011). The original michaelis constant: Translation of the 1913 michaelis–menten paper. Biochemistry, 50(39), 8264–8269.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Joshi, A., Youssofzadeh, V., Vemana, V., McGinnity, T. M., Prasad, G., & Wong-Lin, K. (2017). An integrated modelling framework for neural circuits with multiple neuromodulators. Journal of the Royal Society Interface, 14(126), 20160902.

Article  PubMed  PubMed Central  Google Scholar 

Jung, K., Florin, E., Patil, K. R., Caspers, J., Rubbert, C., Eickhoff, S. B., & Popovych, O. V. (2023). Whole-brain dynamical modelling for classification of Parkinson’s disease. Brain Communications, 5(1), 1–19.

Google Scholar 

Kesby, J. P., Eyles, D. W., McGrath, J. J., & Scott, J. G. (2018). Dopamine, psychosis and schizophrenia: The widening gap between basic and clinical neuroscience. Translational Psychiatry, 8(1).

Klein, M. O., Battagello, D. S., Cardoso, A. R., Hauser, D. N., Bittencourt, J. C., & Correa, R. G. (2018). Dopamine: Functions, signaling, and association with neurological diseases. Cellular and Molecular Neurobiology, 39(1), 31–59.

Article  PubMed  PubMed Central  Google Scholar 

Kringelbach, M. L., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R., Whybrow, P. C., Logothetis, N. K., & Deco, G. (2020). Dynamic coupling of whole-brain neuronal and neurotransmitter systems. Proceedings of the National Academy of Sciences, 117(17), 9566–9576.

Article  CAS  Google Scholar 

Lavanga, M., Stumme, J., Yalcinkaya, B. H., Fousek, J., Jockwitz, C., Sheheitli, H., Bittner, N., Hashemi, M., Petkoski, S., Caspers, S., et al. (2023). The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging. NeuroImage, 283, 120403.

Article  PubMed  Google Scholar 

Lindahl, M., & Kotaleski, J. H. (2016). Untangling basal ganglia network dynamics and function: Role of dopamine depletion and inhibition investigated in a spiking network model. eneuro, 3(6).

Little, S., Beudel, M., Zrinzo, L., Foltynie, T., Limousin, P., Hariz, M., Neal, S., Cheeran, B., Cagnan, H., Gratwicke, J., et al. (2016). Bilateral adaptive deep brain stimulation is effective in parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 87(7), 717–721.

Article  Google Scholar 

Lohse, M. J., Hein, P., Hoffmann, C., Nikolaev, V. O., Vilardaga, J.-P., & Bünemann, M. (2008). Kinetics of g-protein-coupled receptor signals in intact cells. British Journal of Pharmacology, 153(S1).

López-Azcárate, J., Tainta, M., Rodríguez-Oroz, M. C., Valencia, M., González, R., Guridi, J., Iriarte, J., Obeso, J. A., Artieda, J., & Alegre, M. (2010). Coupling between beta and high-frequency activity in the human subthalamic nucleus may be a pathophysiological mechanism in parkinson’s disease. Journal of Neuroscience, 30(19), 6667–6677.

Article  PubMed  PubMed Central  Google Scholar 

Mangiavacchi, S., & Wolf, M. E. (2004). D1 dopamine receptor stimulation increases the rate of ampa receptor insertion onto the surface of cultured nucleus accumbens neurons through a pathway dependent on protein kinase a. Journal of Neurochemistry, 88(5), 1261–1271.

Article  CAS  PubMed