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Brain-body states embody complex temporal dynamics.

Daniel S Kluger1, Micah G Allen2, Joachim Gross1

  • 1Institute for Biomagnetism and Biosignal Analysis, University of Muenster, Muenster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Muenster, Muenster, Germany.

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Summary
This summary is machine-generated.

We developed a computational framework to understand complex brain-body states. This approach simplifies high-dimensional data for predicting and managing health conditions.

Keywords:
brain statesbrain–body couplingdimensionality reductioninteroceptionlow-dimensional manifoldsnested dynamics

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Systems Biology

Background:

  • Brain-body states are complex, influenced by internal and external factors.
  • Interoception plays a key role in regulating these states.
  • Current models struggle with the high dimensionality of these states.

Purpose of the Study:

  • To propose a computational framework for analyzing high-dimensional brain-body states.
  • To unify existing theoretical work on brain-body dynamics.
  • To develop methods for reducing state complexity and predicting pathological trajectories.

Main Methods:

  • Developing a computational framework to model brain-body states.
  • Utilizing principles of nested dynamics and interoception.
  • Implementing dimensionality reduction techniques to identify key features.

Main Results:

  • The framework models brain-body states as transient embodiments of dynamics.
  • Methods are suggested to reduce complex state data to observable features.
  • The approach aims for accurate prediction and intervention in pathological states.

Conclusions:

  • The proposed framework offers a novel approach to understanding brain-body interactions.
  • Simplifying complex state dynamics is crucial for clinical applications.
  • This work provides a foundation for predicting and intervening in diseases affecting brain-body regulation.