학술논문

Brain connectivity networks underlying resting heart rate variability in acute ischemic stroke
Document Type
article
Source
NeuroImage: Clinical, Vol 41, Iss , Pp 103558- (2024)
Subject
Stroke
Heart rate variability
Low-frequency spectral band
Voxel-based lesion mapping
Connectivity network analysis
Computer applications to medicine. Medical informatics
R858-859.7
Neurology. Diseases of the nervous system
RC346-429
Language
English
ISSN
2213-1582
Abstract
Acute strokes can affect heart rate variability (HRV), the mechanisms how are not well understood. We included 42 acute stroke patients (2–7 days after ischemic stroke, mean age 66 years, 16 women). For analysis of HRV, 20 matched controls (mean age 60.7, 10 women) were recruited. HRV was assessed at rest, in a supine position and individual breathing rhythmus for 5 min. The coefficient of variation (VC), the root mean square of successive differences (RMSSD), the powers of low (LF, 0.04–0.14 Hz) and high (HF, 0.15–0.50 Hz) frequency bands were extracted. HRV parameters were z-transformed related to age- and sex-matched normal subjects. Z-values -1). No different connectivity could be found for the respective VC groups. Our results suggest that HRV alteration after acute stroke might be due to affecting resting-state brain networks.