Complexity analysis from EEG data in congestive heart failure: A study via approximate entropy.


Journal

Acta physiologica (Oxford, England)
ISSN: 1748-1716
Titre abrégé: Acta Physiol (Oxf)
Pays: England
ID NLM: 101262545

Informations de publication

Date de publication:
06 2023
Historique:
revised: 12 04 2023
received: 13 01 2023
accepted: 14 04 2023
medline: 18 5 2023
pubmed: 19 4 2023
entrez: 18 4 2023
Statut: ppublish

Résumé

Congestive heart failure (CHF) is a very complex clinical syndrome that may lead to ischemic cerebral hypoxia condition. The aim of the present study is to analyze the effects of CHF on brain activity through electroencephalographic (EEG) complexity measures, like approximate entropy (ApEn). Twenty patients with CHF and 18 healthy elderly people were recruited. ApEn values were evaluated in the total spectrum (0.2-47 Hz) and main EEG frequency bands: delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-11 Hz), alpha 2 (11-13 Hz), beta 1 (13-20 Hz), beta 2 (20-30 Hz), and gamma (30-45 Hz) to identify differences between CHF group and control. Moreover, a correlation analysis was performed between ApEn parameters and clinical data (i.e., B-type natriuretic peptides (BNP), New York Heart Association (NYHA), and systolic blood pressure (SBP)) within the CHF group. Statistical topographic maps showed statistically significant differences between the two groups in the total spectrum and theta frequency band. Within the CHF group, significant negative correlations were found between total ApEn and BNP in O2 channel and between theta ApEn and NYHA scores in Fp1, Fp2, and Fz channels; instead, a significant positive correlation was found between theta ApEn and SBP in C3 channel and a nearly significant positive correlation was obtained between theta ApEn and SBP in F4 channel. EEG abnormalities in CHF are very similar to those observed in cognitive-impaired patients, suggesting analogies between the effects of neurodegeneration and brain chronic hypovolaemia due to heart disorder and underlying high brain sensitivity to CHF.

Identifiants

pubmed: 37070962
doi: 10.1111/apha.13979
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13979

Informations de copyright

© 2023 The Authors. Acta Physiologica published by John Wiley & Sons Ltd on behalf of Scandinavian Physiological Society.

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Auteurs

Alessia Cacciotti (A)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.
Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy.

Chiara Pappalettera (C)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.
Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy.

Francesca Miraglia (F)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.
Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy.

Lavinia Valeriani (L)

Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy.
Fondazione Antea, Rome, Italy.

Elda Judica (E)

Department of Neurorehabilitation Sciences, Casa Cura Policlinico, Milan, Italy.

Paolo Maria Rossini (PM)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.

Fabrizio Vecchio (F)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.
Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy.

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