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Negative Correlation Between Functional Connectivity and Small-Worldness in the Alpha Frequency Band of a Healthy Brain.
Päeske, Laura; Hinrikus, Hiie; Lass, Jaanus; Raik, Jaan; Bachmann, Maie.
Afiliação
  • Päeske L; Centre for Biomedical Engineering, Department of Health Technologies, School of Information Technologies, Tallinn University of Technology, Tallinn, Estonia.
  • Hinrikus H; Centre for Biomedical Engineering, Department of Health Technologies, School of Information Technologies, Tallinn University of Technology, Tallinn, Estonia.
  • Lass J; Centre for Biomedical Engineering, Department of Health Technologies, School of Information Technologies, Tallinn University of Technology, Tallinn, Estonia.
  • Raik J; Department of Computer Systems, School of Information Technologies, Tallinn University of Technology, Tallinn, Estonia.
  • Bachmann M; Centre for Biomedical Engineering, Department of Health Technologies, School of Information Technologies, Tallinn University of Technology, Tallinn, Estonia.
Front Physiol ; 11: 910, 2020.
Article em En | MEDLINE | ID: mdl-32903521
The aim of the study was to analyze the relationship between resting state electroencephalographic (EEG) alpha functional connectivity (FC) and small-world organization. For that purpose, Pearson correlation was calculated between FC and small-worldness (SW). Three undirected FC measures were used: magnitude-squared coherence (MSC), imaginary part of coherency (ICOH), and synchronization likelihood (SL). As a result, statistically significant negative correlation occurred between FC and SW for all three FC measures. Small-worldness of MSC and SL were mostly above 1, but lower than 1 for ICOH, suggesting that functional EEG networks did not have small-world properties. Based on the results of the current study, we suggest that decreased alpha small-world organization is compensated with increased connectivity of alpha oscillations in a healthy brain.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article