Abstract 4345815: Altered Cortical Electroencephalography Activity in Heart Failure

R Rachel Ho J Jinhan Park (University of Florida, Gainesville, Florida, United States) M Matthew Petersen (University of Florida, Gainesville, Florida, United States) A Alex Parker (University of Florida, Gainesville, Florida, United States) S Stephen Coombes (University of Florida, Gainesville, Florida, United States)

Abstract

Introduction: Heart failure is associated with reduced cardiac output and cerebral hypoperfusion, which may disrupt neural activity in the brain. Resting electroencephalography (EEG) directly measures neural activity in the brain, however few studies have examined EEG measurements in individuals with heart failure. Research question: Our study aimed to address this gap in the literature by using high-density EEG to investigate resting neural activity in individuals with heart failure. Methods: Resting-state EEG was recorded from 13 individuals with heart failure (New York Heart Association class II-III) and 13 age- and sex- matched controls using a 128-electrode array. We calculated five EEG outcome measures in both sensor and source space: periodic alpha and beta power, dominant frequency, offset and slope. Mann-Whitney U tests were used to evaluate group differences in the global average of the main outcomes. Statistical comparisons EEG outcomes conducted using permutated-based Analysis of Covariance controlling for age and sex. Significance was set to p < 0.05 (corrected for multiple comparisons using FDR). Results: We found significant reductions in beta power and dominant frequency in the heart failure group in both sensor and source space. The grand average beta power across 128 electrodes for the heart failure group was 0.36 Hz (±0.07) and 0.49 (±0.11) for the control group and this was significantly different between groups (U = 25.00, z = -3.05, p = 0.003). Source space analysis revealed significant reductions in beta power in 50 out of 64 cortical regions examined. For dominant frequency in sensor space, the grand average dominant frequency across 128 electrodes for the heart failure group was 8.60 Hz (± 0.77) and 9.75 Hz (± 1.35) for the control group and this was significantly different between groups (U = 36.00, z = -2.49, p = 0.012). Source space analysis found reduced dominant frequency in the heart failure group in 30 of the 64 cortical regions assessed. No significant between group differences were found for alpha power, offset and slope. Conclusions: Our findings revealed widespread reductions in beta power and dominant frequency, suggesting disrupted cortical activity which may underlie impairments in cognitive and sensorimotor function in individuals with heart failure.

Article Details

Journal Circulation
Volume / Issue Vol. 152, Issue Suppl_3
Published November 04, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (5)

R

Rachel Ho

J

Jinhan Park

University of Florida, Gainesville, Florida, United States

M

Matthew Petersen

University of Florida, Gainesville, Florida, United States

A

Alex Parker

University of Florida, Gainesville, Florida, United States

S

Stephen Coombes

University of Florida, Gainesville, Florida, United States