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  2. Johannes Gutenberg-Universität Mainz
  3. DFG-491381577-G
Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-10086
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dc.contributor.authorDimova, Violeta-
dc.contributor.authorWelte-Jzyk, Claudia-
dc.contributor.authorKronfeld, Andrea-
dc.contributor.authorKorczynski, Oliver-
dc.contributor.authorBaier, Bernhard-
dc.contributor.authorKoirala, Nabin-
dc.contributor.authorSteenken, Livia-
dc.contributor.authorKollmann, Bianca-
dc.contributor.authorTüscher, Oliver-
dc.contributor.authorBrockmann, Marc A.-
dc.contributor.authorBirklein, Frank-
dc.contributor.authorMuthuraman, Muthuraman-
dc.date.accessioned2024-02-20T11:23:17Z-
dc.date.available2024-02-20T11:23:17Z-
dc.date.issued2024-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/10104-
dc.description.abstractAcute 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 indicate reduced HRV. Acute stroke lesions were marked on diffusion-weighted images employing MRIcroN and co-registered to a T1-weighted structural volume-dataset. Using independent component analysis (ICA), stroke lesions were related to HRV. Subsequently, we used the ICA-derived lesion pattern as a seed and estimated the connectivity between these brain regions and seven common functional networks, which were obtained from 50 age-matched healthy subjects (mean age 68.9, 27 women). Especially, LF and VC were frequently reduced in patients. ICA revealed one covarying lesion pattern for LF and one similar for VC, predominantly affecting the right hemisphere. Activity in brain areas corresponding to these lesions mainly impact on limbic (r = 0.55 ± 0.08) and salience ventral attention networks (0.61 ± 0.10) in the group with reduced LF power (z-score < -1), but on control and default mode networks in the group with physiological LF power (z-score > -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.en_GB
dc.language.isoengde
dc.rightsCC BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc610 Medizinde_DE
dc.subject.ddc610 Medical sciencesen_GB
dc.titleBrain connectivity networks underlying resting heart rate variability in acute ischemic strokeen_GB
dc.typeZeitschriftenaufsatzde
dc.identifier.doihttp://doi.org/10.25358/openscience-10086-
jgu.type.contenttypeScientific articlede
jgu.type.dinitypearticleen_GB
jgu.type.versionPublished versionde
jgu.type.resourceTextde
jgu.organisation.departmentFB 04 Medizinde
jgu.organisation.number2700-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleNeuroImage: Clinicalde
jgu.journal.volume41de
jgu.pages.alternative103558de
jgu.publisher.year2024-
jgu.publisher.nameElsevierde
jgu.publisher.placeAmsterdamde
jgu.publisher.issn2213-1582de
jgu.organisation.placeMainz-
jgu.subject.ddccode610de
jgu.publisher.doi10.1016/j.nicl.2023.103558de
jgu.organisation.rorhttps://ror.org/023b0x485-
jgu.subject.dfgLebenswissenschaftende
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