English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0005-4885-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-4889-0
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
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              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s):
 Dates: 2019-09
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.32470/CCN.2019.1095-0
 Degree: -

Event

show
hide
Title: Conference on Cognitive Computational Neuroscience (CCN 2019)
Place of Event: Berlin, Germany
Start-/End Date: 2019-09-13 - 2019-09-16

Legal Case

show

Project information

show

Source 1

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