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Modeling a neurological disorder as the result of an operator acting on the brain: A first sketch based on network channel modeling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10257613" target="_blank" >RIV/61989100:27240/24:10257613 - isvavai.cz</a>

  • Result on the web

    <a href="https://pubs.aip.org/aip/cha/article-abstract/34/5/053133/3294604/Modeling-a-neurological-disorder-as-the-result-of?redirectedFrom=fulltext" target="_blank" >https://pubs.aip.org/aip/cha/article-abstract/34/5/053133/3294604/Modeling-a-neurological-disorder-as-the-result-of?redirectedFrom=fulltext</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1063/5.0199988" target="_blank" >10.1063/5.0199988</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling a neurological disorder as the result of an operator acting on the brain: A first sketch based on network channel modeling

  • Original language description

    The brain is a complex network, and diseases can alter its structures and connections between regions. Therefore, we can try to formalize the action of diseases by using operators acting on the brain network. Here, we propose a conceptual model of the brain, seen as a multilayer network, whose intra-lobe interactions are formalized as the diagonal blocks of an adjacency matrix. We propose a general and abstract definition of disease as an operator altering the weights of the connections between neural agglomerates, that is, the elements of the brain matrix. As models, we consider examples from three neurological disorders: epilepsy, Alzheimer-Perusini&apos;s disease, and schizophrenia. The alteration of neural connections can be seen as alterations of communication pathways, and thus, they can be described with a new channel model.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Chaos

  • ISSN

    1054-1500

  • e-ISSN

    1089-7682

  • Volume of the periodical

    34

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    nestránkováno

  • UT code for WoS article

    001231939100001

  • EID of the result in the Scopus database