Quantitative theory of driven nonlinear brain dynamics

Roberts, James A.; Robinson, P. A.

doi:10.1016/j.neuroimage.2012.05.054

Cited by 70 publications

(130 citation statements)

References 79 publications

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“…Considering individual differences, the bifurcation points in the human proprioceptive system could vary between subjects, which could explain why subharmonic coupling was not shown in all subjects. Similar to the previous findings in the human visual system [3,7], 1:2 subharmonic coupling was the most common subharmonic coupling. In this study, we did not find 2:3 subharmonic coupling.…”

Section: Discussionsupporting

confidence: 90%

“…visual flickering) has often been reported in the human visual system [3,7]. Most studies using somatosensory stimuli, mainly using tactile stimuli,) only reported harmonic and intermodulation coupling (see [8,10,14,36,41] for examples and a brief review is available in [42]).…”

Section: Discussionmentioning

confidence: 99%

“…Subharmonic coupling can only be detected in the nervous system when the bifurcation parameters are in the range that a severely nonlinear behavior (e.g. multi-stability) is shown [3,12,43].…”

Section: Discussionmentioning

confidence: 99%

“…ervous systems are highly nonlinear [1][2][3]. They can present different forms of nonlinear interaction between an input (stimulus) and the corresponding output (neural response), such as harmonic, subharmonic and/or intermodulation coupling.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Langdon and colleagues found subharmonic coupling between tactile vibration and brain responses (electroencephalogram, EEG) [11]. Subharmonic coupling represents a more complex type of nonlinearity than harmonic and intermodulation coupling [12], and it is known to be associated with intrinsic nonlinear dynamics in the human brain [3,11].…”

Section: Introductionmentioning

confidence: 99%

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A Generalized Coherence Framework for Detecting and Characterizing Nonlinear Interactions in the Nervous System

Yang

Solis‐Escalante

Helm

et al. 2016

IEEE Trans. Biomed. Eng.

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-Objective: This paper introduces a generalized coherence framework for detecting and characterizing nonlinear interactions in the nervous system, namely cross-spectral coherence (CSC). CSC can detect different types of nonlinear interactions including harmonic and intermodulation coupling as present in static nonlinearities and also subharmonic coupling, which only occurs with dynamic nonlinearities. Methods: We verified the performance of CSC in model simulations with both static and dynamic nonlinear systems. We applied CSC to investigate nonlinear stimulus-response interactions in the human proprioceptive system. A periodic movement perturbation was imposed to the wrist when the subjects performed an isotonic wrist flexion. CSC analysis was performed between the perturbation and brain responses (EEG). Results: Both the simulation and the application demonstrated that CSC successfully detected different types of nonlinear interactions. High-order nonlinearities were revealed in the proprioceptive system, shown in harmonic and intermodulation coupling between the perturbation and EEG for all subjects. Subharmonic coupling was found in some subjects but not all. Conclusion: This work provides a general tool to detect and characterize nonlinear nature and dynamics of the nervous system. The application of CSC on the experimental dataset indicates a complex nonlinear dynamics in the proprioceptive system. Significance: This novel framework 1) unveils the nonlinear neural dynamics in a more complete way than the existing coherence measures, and 2) is more suitable for estimating the input-output relation regarding both phase and amplitude compared to phase synchrony measures (which only consider phase coupling). Subharmonic coupling is reported in human proprioceptive system for the first time.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Generalized Coherence Framework for Detecting and Characterizing Nonlinear Interactions in the Nervous System

Yang

Solis‐Escalante

Helm

et al. 2016

IEEE Trans. Biomed. Eng.

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Allophonic perception of VOT contrasts in Spanish children with dyslexia

et al. 2021

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Developmental dyslexia is a disorder in which the ability to decipher written language is impaired despite the absence of other cognitive or sensory impairments (Peterson & Pennington, 2012). Dyslexia has a genetic basis, but the epigenetic factors that determine its expression remain under investigation. Various factors have been suspected to cause dyslexia, and most of these factors are related to deficits in one of the three components of written language: phonology, visual information, and phonovisual information (Serniclaes

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