ArticleNetwork neuroscience (Cambridge, Mass.)2024
Impaired brain-heart axis in focal epilepsy: Alterations in information flow and implications for seizure dynamics.
Article in Network neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Electrocorticographic Network Feature Space Constriction as a Preictal Biomarker.Neuroinformatics · 2026Article
- C-X-C motif chemokine ligands (CXCL1/CXCL9) in inflammatory pathways underlying epilepsy-related ventricular remodeling: a mendelian randomization study.Acta neurologica Belgica · 2026Article
- HRV features as potential biomarkers for auxiliary diagnosis in epilepsy.Scientific reports · 2026Article
- The brain-heart axis: integrative cooperation of neural, mechanical and biochemical pathways.Nature reviews. Cardiology · 2025Review
- BrainFusion: a Low-Code, Reproducible, and Deployable Software Framework for Multimodal Brain‒Computer Interface and Brain‒Body Interaction Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
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Authors and funding
4 authors.
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Abstract
This study delves into functional brain-heart interplay (BHI) dynamics during interictal periods before and after seizure events in focal epilepsy. Our analysis focuses on elucidating the causal interaction between cortical and autonomic nervous system (ANS) oscillations, employing electroencephalography and heart rate variability series. The dataset for this investigation comprises 47 seizure events from 14 independent subjects, obtained from the publicly available Siena Dataset. Our findings reveal an impaired brain-heart axis especially in the heart-to-brain functional direction. This is particularly evident in bottom-up oscillations originating from sympathovagal activity during the transition between preictal and postictal periods. These results indicate a pivotal role of the ANS in epilepsy dynamics. Notably, the brain-to-heart information flow targeting cardiac oscillations in the low-frequency band does not display significant changes. However, there are noteworthy changes in cortical oscillations, primarily originating in central regions, influencing heartbeat oscillations in the high-frequency band. Our study conceptualizes seizures as a state of hyperexcitability and a network disease affecting both cortical and peripheral neural dynamics. Our results pave the way for a deeper understanding of BHI in epilepsy, which holds promise for the development of advanced diagnostic and therapeutic approaches also based on bodily neural activity for individuals living with epilepsy.
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