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  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, 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.

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Cruzat, J, Author
Cabral, J, Author
Moos Knudsen, G, Author
Carhart-Harris, R, Author
Whybrow, PC, Author
Logothetis, NK1, 2, Author           
Kringelbach, ML, Author
Deco , G, Author
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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-HT​2AR​) densities obtained with positron emission tomography (PET). This allowed us to model the resting state and mechanistically explain the functional effects of 5-HT​2AR​ 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-HT​2AR​ density. The results show that the precise distribution of 5-HT​2AR​ 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.

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 Dates: 2019-09
 Publication Status: Published online
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 Identifiers: DOI: 10.32470/CCN.2019.1095-0
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Title: Conference on Cognitive Computational Neuroscience (CCN 2019)
Place of Event: Berlin, Germany
Start-/End Date: 2019-09-13 - 2019-09-16

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Title: Conference on Cognitive Computational Neuroscience (CCN 2019)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: PS-1B.12 Start / End Page: 295 - 298 Identifier: -