Telecommunication-inspired network models of healthy and diseased brains

Recent advances in nanoelectronics have spurred increased interest in the human brain and its complex functions. Numerous studies have explored brain behavior in varying levels of detail, from individual neurons to entire lobes. Intricately structured, the brain is a complex organ susceptible to diseases that may disrupt the connectivity between its internal regions. Investigating this phenomenon, the present study applies a discrete finite-state model to map the behavior of neurons within a neuronal agglomerate and examine the effect of disease on these behaviors. Each agglomerate is then compared to a wireless clustered network and modeled as a finite-state system, with inter-cluster communications analyzed under conditions of temporal variations and degradation. This work represents one of the most advanced applications of discrete finite-state processes and routing theory in brain modeling.

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Publication Details

Journal
Scientific Reports
Published
2026-04-28
DOI
https://doi.org/10.1038/s41598-026-50758-x
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Telecommunication-inspired network models of healthy and diseased brains

Norbert Marwan, Peppino Fazio, Miralem Mehić, Danilo Amendola et al.
Scientific Reports
Functional Brain Connectivity Studies
article

Telecommunication-inspired network models of healthy and diseased brains

Norbert Marwan, Peppino Fazio, Miralem Mehić, Danilo Amendola, Maria Mannone, Patrizia Ribino, Pietro Riello, Abdalla Swikir, Miroslav Voznak
article en

Abstract

Recent advances in nanoelectronics have spurred increased interest in the human brain and its complex functions. Numerous studies have explored brain behavior in varying levels of detail, from individual neurons to entire lobes. Intricately structured, the brain is a complex organ susceptible to diseases that may disrupt the connectivity between its internal regions. Investigating this phenomenon, the present study applies a discrete finite-state model to map the behavior of neurons within a neuronal agglomerate and examine the effect of disease on these behaviors. Each agglomerate is then compared to a wireless clustered network and modeled as a finite-state system, with inter-cluster communications analyzed under conditions of temporal variations and degradation. This work represents one of the most advanced applications of discrete finite-state processes and routing theory in brain modeling.

Scientific Reports
University of Sarajevo (BA), VSB - Technical University of Ostrava (CZ), Ca' Foscari University of Venice (IT), University of Potsdam (DE), European Commission (BE), Leibniz Association (DE), Mohamed bin Zayed University of Artificial Intelligence (AE), National Research Council (IT), Potsdam Institute for Climate Impact Research (DE)
European Commission, NextGenerationEU
Openalex Percentile: Top 14%
Functional Brain Connectivity Studies
DOIOpen Access PDFOpenAlex
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