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Correlation between electroencephalographic markers in the healthy brain.
Päeske, Laura; Uudeberg, Tuuli; Hinrikus, Hiie; Lass, Jaanus; Bachmann, Maie.
Afiliação
  • Päeske L; Department of Health Technologies, School of Information Technology, Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia.
  • Uudeberg T; Department of Health Technologies, School of Information Technology, Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia.
  • Hinrikus H; Department of Health Technologies, School of Information Technology, Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia. hiie.hinrikus@gmail.com.
  • Lass J; Department of Health Technologies, School of Information Technology, Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia.
  • Bachmann M; Department of Health Technologies, School of Information Technology, Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia.
Sci Rep ; 13(1): 6307, 2023 04 18.
Article em En | MEDLINE | ID: mdl-37072499
ABSTRACT
Mental disorders have an increasing tendency and represent the main burden of disease to society today. A wide variety of electroencephalographic (EEG) markers have been successfully used to assess different symptoms of mental disorders. Different EEG markers have demonstrated similar classification accuracy, raising a question of their independence. The current study is aimed to investigate the hypotheses that different EEG markers reveal partly the same EEG features reflecting brain functioning and therefore provide overlapping information. The assessment of the correlations between EEG signal frequency band power, dynamics, and functional connectivity markers demonstrates that a statistically significant correlation is evident in 37 of 66 (56%) comparisons performed between 12 markers of different natures. A significant correlation between the majority of the markers supports the similarity of information in the markers. The results of the performed study confirm the hypotheses that different EEG markers reflect partly the same features in brain functioning. Higuchi's fractal dimension has demonstrated a significant correlation with the 82% of other markers and is suggested to reveal a wide spectrum of various brain disorders. This marker is preferable in the early detection of symptoms of mental disorders.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encefalopatias / Transtornos Mentais Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encefalopatias / Transtornos Mentais Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article