Mechanisms of the non-linear interactions between the neuronal and 
neurotransmitter systems explained by causal whole-brain modeling

Cruzat, J; Cabral, J; Moos Knudsen, G; Carhart-Harris, R; Whybrow, PC; Logothetis, NK; Kringelbach, ML; Deco , G

doi:10.32470/CCN.2019.1095-0

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Mechanisms of the non-linear interactions between the neuronal and neurotransmitter systems explained by causal whole-brain modeling

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Logothetis, NK
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://ccneuro.org/2019/Papers/ViewPapers.asp?PaperNum=1095
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Citation

Cruzat, J., Cabral, J., Moos Knudsen, G., Carhart-Harris, R., Whybrow, P., Logothetis, N., et al. (2019). Mechanisms of the non-linear interactions between the neuronal and neurotransmitter systems explained by causal whole-brain modeling. In Conference on Cognitive Computational Neuroscience (CCN 2019) (pp. 295-298). doi:10.32470/CCN.2019.1095-0.

Cite as: https://hdl.handle.net/21.11116/0000-0005-4885-4

Abstract

Although a variety of studies have shown the role of neurotransmitters at the neuronal level, their impact on the dynamics of the system at a macroscopic scale is poorly understood. Here, we provide a causal explanation using the first whole-brain model integrating multimodal imaging in healthy human participants undergoing manipulation of the serotonin system. Specifically, we combined anatomical and functional data with a detailed map of the serotonin 2A receptor (5-HT2AR) densities obtained with positron emission tomography (PET). This allowed us to model the resting state and mechanistically explain the functional effects of 5-HT2AR stimulation with lysergic acid diethylamide (LSD). The whole-brain model used a dynamical mean-field quantitative description of populations of excitatory and inhibitory neurons as well as the associated synaptic dynamics, where the neuronal gain function of the model is modulated by the 5-HT2AR density. The results show that the precise distribution of 5-HT2AR is crucial to predict the neuromodulatory effects of LSD. The model identified the causative mechanisms for the non-linear interactions between the neuronal and neurotransmitter system, which are uniquely linked to the underlying neuroanatomical network, the modulation by the specific brain-wide distribution of neurotransmitter receptors, and the non-linear interactions between the two.