Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG

This study investigates the role of electrode density in capturing resting-state brain activity, an area of significant clinical relevance, where electroencephalography (EEG) is favored for its cost-efficiency. We analyze how different electrode configurations affect the precision of cortical curren...

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Main Authors: Matheus Mangini Bertuzzo, Rodrigo P Rocha, Ricardo Spyrídes Boabaid Pimentel Gonçalves, Adair Roberto Soares Dos Santos, Odival Cezar Gasparotto
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Journal of Physics: Complexity
Subjects:
Online Access:https://doi.org/10.1088/2632-072X/adab5c
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author Matheus Mangini Bertuzzo
Rodrigo P Rocha
Ricardo Spyrídes Boabaid Pimentel Gonçalves
Adair Roberto Soares Dos Santos
Odival Cezar Gasparotto
author_facet Matheus Mangini Bertuzzo
Rodrigo P Rocha
Ricardo Spyrídes Boabaid Pimentel Gonçalves
Adair Roberto Soares Dos Santos
Odival Cezar Gasparotto
author_sort Matheus Mangini Bertuzzo
collection DOAJ
description This study investigates the role of electrode density in capturing resting-state brain activity, an area of significant clinical relevance, where electroencephalography (EEG) is favored for its cost-efficiency. We analyze how different electrode configurations affect the precision of cortical current density estimation in EEG recordings. Using exact low-resolution electromagnetic tomography, we estimated the cortical current density in regions of interest linked to resting state networks. Point process analysis was employed to identify regions of high activity over time, revealing dynamic brain salient activity patterns, or brain maps. We evaluated the impact of electrode density by comparing 64-channel and 20-channel configurations and found that both configurations yielded similar and consistent brain maps. To confirm the robustness of our approach, we assessed the Berger effect in eyes-closed (EC) versus eyes-open (EO) conditions, observing that the functional differences between EC and EO states remained stable regardless of electrode density, aligning with previous research . Conversely, randomization of data or the use of non-homogeneous electrode configurations disrupted the resulting patterns, highlighting the physiological relevance of our methodology. Overall, our results demonstrate that this approach reliably captures the spatiotemporal dynamics of brain activity, even with fewer electrodes, and holds promise for broader clinical applications.
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spelling doaj-art-1de4fa1de8b24ef8936088996a25c1002025-01-27T07:30:33ZengIOP PublishingJournal of Physics: Complexity2632-072X2025-01-016101500710.1088/2632-072X/adab5cExploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEGMatheus Mangini Bertuzzo0https://orcid.org/0000-0002-7759-7293Rodrigo P Rocha1https://orcid.org/0000-0001-5651-3567Ricardo Spyrídes Boabaid Pimentel Gonçalves2Adair Roberto Soares Dos Santos3Odival Cezar Gasparotto4https://orcid.org/0000-0003-1837-568XDepartment of Physiological Sciences, Biological Sciences Center, Federal University of Santa Catarina , Trindade, Florianópolis, SC, BrazilDepartment of Physics, Center of Physical and Mathematical Sciences, Federal University of Santa Catarina , Trindade, Florianópolis, SC, BrazilInstitute of Biomedical Engineering and Informatics, Technische Universität Ilmenau , Ilmenau, GermanyDepartment of Physiological Sciences, Biological Sciences Center, Federal University of Santa Catarina , Trindade, Florianópolis, SC, BrazilDepartment of Physiological Sciences, Biological Sciences Center, Federal University of Santa Catarina , Trindade, Florianópolis, SC, BrazilThis study investigates the role of electrode density in capturing resting-state brain activity, an area of significant clinical relevance, where electroencephalography (EEG) is favored for its cost-efficiency. We analyze how different electrode configurations affect the precision of cortical current density estimation in EEG recordings. Using exact low-resolution electromagnetic tomography, we estimated the cortical current density in regions of interest linked to resting state networks. Point process analysis was employed to identify regions of high activity over time, revealing dynamic brain salient activity patterns, or brain maps. We evaluated the impact of electrode density by comparing 64-channel and 20-channel configurations and found that both configurations yielded similar and consistent brain maps. To confirm the robustness of our approach, we assessed the Berger effect in eyes-closed (EC) versus eyes-open (EO) conditions, observing that the functional differences between EC and EO states remained stable regardless of electrode density, aligning with previous research . Conversely, randomization of data or the use of non-homogeneous electrode configurations disrupted the resulting patterns, highlighting the physiological relevance of our methodology. Overall, our results demonstrate that this approach reliably captures the spatiotemporal dynamics of brain activity, even with fewer electrodes, and holds promise for broader clinical applications.https://doi.org/10.1088/2632-072X/adab5cresting stateeyes-openedeyes-closedeLORETAEEG downscalingpoint process
spellingShingle Matheus Mangini Bertuzzo
Rodrigo P Rocha
Ricardo Spyrídes Boabaid Pimentel Gonçalves
Adair Roberto Soares Dos Santos
Odival Cezar Gasparotto
Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG
Journal of Physics: Complexity
resting state
eyes-opened
eyes-closed
eLORETA
EEG downscaling
point process
title Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG
title_full Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG
title_fullStr Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG
title_full_unstemmed Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG
title_short Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG
title_sort exploring the role of electrode density in capturing spatiotemporal dynamics of resting state networks with eeg
topic resting state
eyes-opened
eyes-closed
eLORETA
EEG downscaling
point process
url https://doi.org/10.1088/2632-072X/adab5c
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