ArticleIEEE transactions on bio-medical engineering2020
Quantifying the Nonlinear Interaction in the Nervous System Based on Phase-Locked Amplitude Relationship.
Article in IEEE transactions on bio-medical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 8 citations in OpenAlex.
- Prioritized nonlinear modeling of shared dynamics across neural populations.Journal of neural engineering · 2026Article
- Fascicle dynamics of the tibialis anterior muscle reflect whole-body walking economy.Scientific reports · 2023Article
- Nonlinear System Identification of Neural Systems from Neurophysiological Signals.Neuroscience · 2021Review
- Assessing Neural Connectivity and Associated Time Delays of Muscle Responses to Continuous Position Perturbations.Annals of biomedical engineering · 2021Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
objectiveThis paper introduces the Cross-frequency Amplitude Transfer Function (CATF), a model-free method for quantifying nonlinear stimulus-response interaction based on phase-locked amplitude relationship.
methodThe CATF estimates the amplitude transfer from input frequencies at stimulation signal to their harmonics/intermodulation at the response signal. We first verified the performance of CATF in simulation tests with systems containing a static nonlinear function and a linear dynamic, i.e., Hammerstein and Wiener systems. We then applied the CATF to investigate the second-order nonlinear amplitude transfer in the human proprioceptive system from the periphery to the cortex.
resultThe simulation demonstrated that the CATF is a general method, which can well quantify nonlinear stimulus-response amplitude transfer for different orders of nonlinearity in Wiener or Hammerstein system configurations. Applied to the human proprioceptive system, we found a complicated nonlinear system behavior with substantial amplitude transfer from the periphery stimulation to cortical response signals in the alpha band. This complicated system behavior may be associated with the nonlinear behavior of the muscle spindle and the dynamic interaction in the thalamocortical radiation.
conclusionThis paper provides a new tool to identify nonlinear interaction in the nervous system. SIGNIFICANCE: The results provide novel insight of nonlinear dynamics in the human proprioceptive system.
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