Abstract 4345815: Altered Cortical Electroencephalography Activity in Heart Failure

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.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4345815
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4345815: Altered Cortical Electroencephalography Activity in Heart Failure

Rachel Ho, Matthew Petersen, Stephen Coombes, Jinhan Park et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4345815: Altered Cortical Electroencephalography Activity in Heart Failure

Rachel Ho, Matthew Petersen, Stephen Coombes, Jinhan Park, Alex M. Parker
article en

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.

CirculationVol. 152(Suppl_3)
University of Florida (US)
Openalex Percentile: Top 52%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.