Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.

The key contribution of this work is to introduce a mathematical framework to understand self-organized dynamics in the brain that can explain certain aspects of itinerant behavior. Specifically, we introduce a model based upon the coupling of generalized Lotka-Volterra systems. This coupling is bas...

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Main Authors: Mikhail I Rabinovich, Mehmet K Muezzinoglu, Irina Strigo, Alexander Bystritsky
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-09-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20877723/pdf/?tool=EBI
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spelling doaj-211b6d2d6fc640cc888616a8db2b66062021-03-03T19:54:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032010-09-0159e1254710.1371/journal.pone.0012547Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.Mikhail I RabinovichMehmet K MuezzinogluIrina StrigoAlexander BystritskyThe key contribution of this work is to introduce a mathematical framework to understand self-organized dynamics in the brain that can explain certain aspects of itinerant behavior. Specifically, we introduce a model based upon the coupling of generalized Lotka-Volterra systems. This coupling is based upon competition for common resources. The system can be regarded as a normal or canonical form for any distributed system that shows self-organized dynamics that entail winnerless competition. Crucially, we will show that some of the fundamental instabilities that arise in these coupled systems are remarkably similar to endogenous activity seen in the brain (using EEG and fMRI). Furthermore, by changing a small subset of the system's parameters we can produce bifurcations and metastable sequential dynamics changing, which bear a remarkable similarity to pathological brain states seen in psychiatry. In what follows, we will consider the coupling of two macroscopic modes of brain activity, which, in a purely descriptive fashion, we will label as cognitive and emotional modes. Our aim is to examine the dynamical structures that emerge when coupling these two modes and relate them tentatively to brain activity in normal and non-normal states.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20877723/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Mikhail I Rabinovich
Mehmet K Muezzinoglu
Irina Strigo
Alexander Bystritsky
spellingShingle Mikhail I Rabinovich
Mehmet K Muezzinoglu
Irina Strigo
Alexander Bystritsky
Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.
PLoS ONE
author_facet Mikhail I Rabinovich
Mehmet K Muezzinoglu
Irina Strigo
Alexander Bystritsky
author_sort Mikhail I Rabinovich
title Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.
title_short Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.
title_full Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.
title_fullStr Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.
title_full_unstemmed Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.
title_sort dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2010-09-01
description The key contribution of this work is to introduce a mathematical framework to understand self-organized dynamics in the brain that can explain certain aspects of itinerant behavior. Specifically, we introduce a model based upon the coupling of generalized Lotka-Volterra systems. This coupling is based upon competition for common resources. The system can be regarded as a normal or canonical form for any distributed system that shows self-organized dynamics that entail winnerless competition. Crucially, we will show that some of the fundamental instabilities that arise in these coupled systems are remarkably similar to endogenous activity seen in the brain (using EEG and fMRI). Furthermore, by changing a small subset of the system's parameters we can produce bifurcations and metastable sequential dynamics changing, which bear a remarkable similarity to pathological brain states seen in psychiatry. In what follows, we will consider the coupling of two macroscopic modes of brain activity, which, in a purely descriptive fashion, we will label as cognitive and emotional modes. Our aim is to examine the dynamical structures that emerge when coupling these two modes and relate them tentatively to brain activity in normal and non-normal states.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20877723/pdf/?tool=EBI
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