Cortical brain connectivity and B-type natriuretic peptide in patients with congestive heart failure

Fabrizio Vecchio, Francesca Miraglia, Lavinia Valeriani, Maria Gabriella Scarpellini, Placido Bramanti, Oriano Mecarelli, Paolo M. Rossini

Research output: Contribution to journalArticle

Abstract

The brain has a high level of complexity and needs continuous oxygen supply. So it is clear that any pathological condition, or physiological (aging) change, in the cardiovascular system affects functioning of the central nervous system. We evaluated linear aspects of the relationship between the slowness of cortical rhythms, as revealed by the modulation of a graph connectivity parameter, and congestive heart failure (CHF), as a reflection of neurodegenerative processes. Eyes-closed resting electroencephalographic (EEG) data of 10 patients with CHF were recorded by 19 electrodes positioned according the international 10-20 system. Graph theory function (normalized characteristic path length λ) was applied to the undirected and weighted networks obtained by lagged linear coherence evaluated by eLORETA software, therefore getting rid of volumetric propagation influences. The EEG frequency bands of interest were: delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-10.5 Hz), alpha 2 (10.5-13 Hz), beta 1 (13-20 Hz), beta 2 (20-30 Hz), and gamma (30-40 Hz). The analysis between B-type natriuretic peptide (BNP) values and λ showed positive correlation in delta, associated with a negative correlation in alpha 2 band. Namely, the higher the severity of the disease (as revealed by the BNP vales), the higher the λ in delta, and lower in alpha 2 band. Results suggest that delta and alpha λ indices are good markers of the severity of CHF.

Original languageEnglish
Pages (from-to)224-229
Number of pages6
JournalClinical EEG and Neuroscience
Volume46
Issue number3
DOIs
Publication statusPublished - Jul 3 2015

Keywords

  • B-type natriuretic peptide
  • characteristic path length
  • congestive heart failure
  • connectivity and graph theory
  • electroencephalography

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology
  • Medicine(all)

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