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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Autores principales:	Mikhail I Rabinovich, Mehmet K Muezzinoglu, Irina Strigo, Alexander Bystritsky
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/211b6d2d6fc640cc888616a8db2b6606
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id	oai:doaj.org-article:211b6d2d6fc640cc888616a8db2b6606
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spelling	oai:doaj.org-article:211b6d2d6fc640cc888616a8db2b66062021-11-18T06:34:58ZDynamical principles of emotion-cognition interaction: mathematical images of mental disorders.1932-620310.1371/journal.pone.0012547https://doaj.org/article/211b6d2d6fc640cc888616a8db2b66062010-09-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20877723/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203The 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.Mikhail I RabinovichMehmet K MuezzinogluIrina StrigoAlexander BystritskyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 9, p e12547 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mikhail I Rabinovich Mehmet K Muezzinoglu Irina Strigo Alexander Bystritsky Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.
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.
format	article
author	Mikhail I Rabinovich Mehmet K Muezzinoglu Irina Strigo Alexander Bystritsky
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)
publishDate	2010
url	https://doaj.org/article/211b6d2d6fc640cc888616a8db2b6606
work_keys_str_mv	AT mikhailirabinovich dynamicalprinciplesofemotioncognitioninteractionmathematicalimagesofmentaldisorders AT mehmetkmuezzinoglu dynamicalprinciplesofemotioncognitioninteractionmathematicalimagesofmentaldisorders AT irinastrigo dynamicalprinciplesofemotioncognitioninteractionmathematicalimagesofmentaldisorders AT alexanderbystritsky dynamicalprinciplesofemotioncognitioninteractionmathematicalimagesofmentaldisorders
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Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders.

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