Application of Horizontal Visibility Graph as a Robust Measure of Neurophysiological Signals Synchrony

Ahmadi, Negar; Pechenizkiy, Mykola

doi:10.1109/cbms.2016.73

Cited by 9 publications

(11 citation statements)

References 14 publications

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“…A decrease in mutual information between brain areas provided researchers with an indicator of MS patients' processing deficits, and HVG captured key features of systems via the synchronization matrix of the brain network. Both analyses provided results that helped researchers better understand MS and inform further (Ahmadi and Pechenizkiy, 2016). There are several promising methods for diagnosing MS, with RQA and machine learning algorithms being notable (Carrubba et al, 2010(Carrubba et al, , 2019.…”

Section: Discussionmentioning

confidence: 99%

Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis

Hernandez,

Kargarnovin,

Hejazi

et al. 2023

Front. Comput. Neurosci.

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BackgroundConsidering that brain activity involves communication between millions of neurons in a complex network, nonlinear analysis is a viable tool for studying electroencephalography (EEG). The main objective of this review was to collate studies that utilized chaotic measures and nonlinear dynamical analysis in EEG of multiple sclerosis (MS) patients and to discuss the contributions of chaos theory techniques to understanding, diagnosing, and treating MS.MethodsUsing the preferred reporting items for systematic reviews and meta-analysis (PRISMA), the databases EbscoHost, IEEE, ProQuest, PubMed, Science Direct, Web of Science, and Google Scholar were searched for publications that applied chaos theory in EEG analysis of MS patients.ResultsA bibliographic analysis was performed using VOSviewer software keyword co-occurrence analysis indicated that MS was the focus of the research and that research on MS diagnosis has shifted from conventional methods, such as magnetic resonance imaging, to EEG techniques in recent years. A total of 17 studies were included in this review. Among the included articles, nine studies examined resting-state, and eight examined task-based conditions.ConclusionAlthough nonlinear EEG analysis of MS is a relatively novel area of research, the findings have been demonstrated to be informative and effective. The most frequently used nonlinear dynamics analyses were fractal dimension, recurrence quantification analysis, mutual information, and coherence. Each analysis selected provided a unique assessment to fulfill the objective of this review. While considering the limitations discussed, there is a promising path forward using nonlinear analyses with MS data.

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Section: Discussionmentioning

confidence: 99%

Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis

Hernandez,

Kargarnovin,

Hejazi

et al. 2023

Front. Comput. Neurosci.

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“…where DS (•) represents the degree sequence of a time series, cov [•] is the covariance of time series, and σ (•) is the standard deviation. The correlation values range from 0 to 1, where S xy = 0 means the time series are not synchronized, and S xy = 1 means that the time series are identical [34,35].…”

Section: Visibility Graph-based Methodsmentioning

confidence: 99%

Effect of linear mixing in EEG on synchronization and complex network measures studied using the Kuramoto model

Ahmadi

Pei

Pechenizkiy

2019

Physica A: Statistical Mechanics and its Applications

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…Esse método possui duas formas, o Grafo de Visibilidade Natural (VG) (Lacasa, Luque, Ballesteros, Luque, & Nuno, 2008) e o Grafo de Visibilidade Horizontal (HVG) (Luque et al, 2009) abordagem utilizada neste trabalho. O HVG tem sido utilizado para a análise de dados em Fisiologia (Zhu, Li, & Wen, 2014;Madl, 2016;Ahmadi & Pechenizkiy, 2016), Hidrologia (Braga, Alves, Costa, Ribeiro, De Jesus, Tateishi, & Ribeiro, 2016;Lange, Sippel, & Rosso, 2018) e Finanças (Vamvakaris, Pantelous, & Zuev, 2018).…”

Section: Referencial Teóricounclassified

Análise de grafos de visibilidade do mercado brasileiro de soja, milho e carne de frango

Nunes

Silva

Araújo

et al. 2021

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A produção, exportação e consumo doméstico de carne de frango no Brasil crescem constantemente, apresentando para esse produto variações de preço que comprometem o orçamento da população. O preço dessa commodity depende, principalmente, do custo da ração, que inclui o milho e a soja como fonte de energia e proteína, respectivamente. Estudar a dinâmica de preço desse produto requer, portanto, uma investigação também acerca dos preços dos insumos milho e soja. Com o objetivo de contribuir para o desenvolvimento e validação de modelos teóricos e computacionais para previsão dos preços de soja, milho e carne de frango, analisaram-se aqui seus preços diários (em moeda brasileira), registrados entre 03/01/2011 e 04/12/2019, obtidos do CEPEA/ESALQ/USP. A partir das séries temporais dos dados de preços originais, foram também criadas as séries de retorno e de volatilidade. Foi utilizado o método Grafo de Visibilidade Horizontal (HVG), implementado em linguagem C, para mapear as séries temporais em redes complexas e, então, calcular os índices topológicos de interesse. Os resultados mostraram que as redes dos preços da soja e do milho são menos integradas que a da carne de frango. Além disso, as séries originais dos preços da soja e do milho, bem como a série de retorno dos preços do frango e a de volatilidade dos preços de milho, são geradas por processos estocásticos correlacionados; a série de retorno dos preços de soja apresenta comportamento com tendência ao de processos não correlacionados; e as demais séries são governadas por processos caóticos.

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Application of Horizontal Visibility Graph as a Robust Measure of Neurophysiological Signals Synchrony

Cited by 9 publications

References 14 publications

Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis

Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis

Effect of linear mixing in EEG on synchronization and complex network measures studied using the Kuramoto model

Análise de grafos de visibilidade do mercado brasileiro de soja, milho e carne de frango

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