A new directionality index based on high-resolution joint symbolic dynamics to assess information transfer in multivariate networks.

Steffen Schulz, Andy Schumann, Karl-Jürgen Bär, Jens Haueisen, Georg Seifert, Andreas Voss

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Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Steffen SchulzCharité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.

Andy SchumannLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.

Karl-Jürgen BärLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.

Jens HaueisenInstitute of Biomedical Engineering and Informatics, University of Technology Ilmenau, Ilmenau, Germany.

Georg SeifertCharité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.

Andreas VossCharité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection and quantification of coupling strength and direction are important aspects for achieving a deeper understanding of physiological regulatory processes in the field of network physiology. Due to the limitations of established approaches, we developed directionality indices based on simple mathematical symbolization principles and simple computational procedures that allow a quick and comprehensive understanding of the underlying couplings. We introduced a new directionality index (

Indexed as

causalitycoupling analysisdirectionalityhigh-resolution joint symbolic dynamicsnetwork physiology

Identifiers

PMID40018361

DOI10.3389/fnins.2025.1504161

PMCPMC11865042

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