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

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

Acta Physiol (Oxf)

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

Published: June 2023

AI Article Synopsis

  • The study investigates the impact of congestive heart failure (CHF) on brain activity by using electroencephalographic (EEG) measures, specifically approximate entropy (ApEn), to assess differences in brain function between CHF patients and healthy elderly individuals.
  • A total of 20 CHF patients and 18 healthy controls were analyzed, focusing on various EEG frequency bands and correlating ApEn values with clinical measures such as B-type natriuretic peptides (BNP) and systolic blood pressure (SBP).
  • Results indicated significant EEG differences in the total spectrum and theta frequency band between the groups, with notable correlations seen within the CHF group, suggesting that CHF may produce similar brain activity changes to those found in cognitive impairment, highlighting

Article Abstract

Aim: 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).

Methods: 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.

Results: 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.

Conclusion: 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.

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Source
http://dx.doi.org/10.1111/apha.13979DOI Listing

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