Conference Paper 2019

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

{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.}

Author(s): Cruzat, J and Cabral, J and Moos Knudsen, G and Carhart-Harris, R and Whybrow, PC and Logothetis, NK and Kringelbach, ML and Deco, G
Book Title: Conference on Cognitive Computational Neuroscience (CCN 2019)
Pages: 295--298
Year: 2019
Bibtex Type: Conference Paper (inproceedings)
Address: Berlin, Germany
DOI: 10.32470/CCN.2019.1095-0
Electronic Archiving: grant_archive

BibTex

@inproceedings{item_3179505,
  title = {{Mechanisms of the non-linear interactions between the neuronal and neurotransmitter systems explained by causal whole-brain modeling}},
  booktitle = {{Conference on Cognitive Computational Neuroscience (CCN 2019)}},
  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.}},
  pages = {295--298},
  address = {Berlin, Germany},
  year = {2019},
  slug = {item_3179505},
  author = {Cruzat, J and Cabral, J and Moos Knudsen, G and Carhart-Harris, R and Whybrow, PC and Logothetis, NK and Kringelbach, ML and Deco, G}
}