Brain connectivity networks underlying resting heart rate variability in acute ischemic stroke

Autor: Violeta Dimova, Claudia Welte-Jzyk, Andrea Kronfeld, Oliver Korczynski, Bernhard Baier, Nabin Koirala, Livia Steenken, Bianca Kollmann, Oliver Tüscher, Marc A. Brockmann, Frank Birklein, Muthuraman Muthuraman
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: NeuroImage: Clinical, Vol 41, Iss , Pp 103558- (2024)
Druh dokumentu: article
ISSN: 2213-1582
DOI: 10.1016/j.nicl.2023.103558
Popis: 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.
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