Slowly activating outward membrane currents generate input-output sub-harmonic cross frequency coupling in neurons

Sinha, Nirvik; Heckman, C. J.; Yang, Yuan

doi:10.1016/j.jtbi.2020.110509

Cited by 3 publications

(2 citation statements)

References 61 publications

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“…Thus, the simplifications made in the classical approach to these questions could no longer be valid and we could not neglect the magnetic contribution to the electric field; and, under suitable conditions, we could not neglect the effect of the magnetic field on charge carriers. [16], [17] The variation of an electric field produced by the displacement of an electric charge is always accompanied by a magnetic field. [18] While the electric charge is at rest, there is only an electrostatic field; but a magnetic field appears as soon as the charge begins to move.…”

Section: Physical Derivation Of the Modelmentioning

confidence: 99%

The effect of exogenously induced magnetic fields on neurotransmitter dynamics

Rivas

Martínez-García

2022

Preprint

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Over the past decades, there has been significant controversy regarding the role of exogenous electromagnetic (EM) fields on the dynamics of molecules in living cells. Here we present a model of electromagnetic forces in the synaptic cleft using the bidomain theory as a framework and the averaged field theory as the theoretical basis, suggesting that the exogenously induced magnetic field may modify the neurotransmitter dynamics. Our model is based on a voltage cell membrane amplification due to the Hall effect principle and the hypothesis that synaptic cleft electric conductivity is represented by tensors with non-zero off-diagonal terms. The physical interpretation of the off-diagonal components is explained, and analytical expressions for the induced magnetic field and conductivity tensor are derived.

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Section: Physical Derivation Of the Modelmentioning

confidence: 99%

The effect of exogenously induced magnetic fields on neurotransmitter dynamics

Rivas

Martínez-García

2022

Preprint

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“…They are instrumental in generating the sustained force outputs required for postural control [32]. Activation of the L-type calcium channels in nigral dopaminergic neurons results in intrinsic bursting behaviour [33], exhibiting low-dimensional determinism and likely encodes meaningful information in the awake state of the brain [34]. The nonlinearity of the neuronal transfer function mediated by its component ion channels can generate various types of nonlinear output patterns such as harmonic, subharmonic and/or intermodulation of input patterns.…”

Section: Nonlinearity In the Neuronal Level And Neural Systemsmentioning

confidence: 99%

Nonlinear System Identification of Neural Systems from Neurophysiological Signals

Yang

2021

Neuroscience

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Nonlinear System Identification of Neural Systems from Neurophysiological Signals

Yang

2020

Preprint

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The human nervous system is one of the most complicated systems in nature. The complex nonlinear behaviours have been shown from the single neuron level to the system level. For decades, linear connectivity analysis methods, such as correlation, coherence and Granger causality, have been extensively used to assess the neural connectivities and input-output interconnections in neural systems. Recent studies indicate that these linear methods can only capture a small amount of neural activities and functional relationships, and therefore cannot describe neural behaviours in a precise or complete way. In this review, we highlight recent advances on nonlinear system identification of neural systems, corresponding time and frequency domain analysis, and novel neural connectivity measures based on nonlinear system identification techniques. We argue that nonlinear modelling and analysis are necessary to study neuronal processing and signal transfer in neural systems quantitatively. These approaches can hopefully provide new insights to advance our understanding of neurophysiological mechanisms underlying neural functions. They also have the potential to produce sensitive biomarkers to facilitate the development of precision diagnostic tools for evaluating neurological disorders and the effects of targeted intervention.

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Slowly activating outward membrane currents generate input-output sub-harmonic cross frequency coupling in neurons

Cited by 3 publications

References 61 publications

The effect of exogenously induced magnetic fields on neurotransmitter dynamics

The effect of exogenously induced magnetic fields on neurotransmitter dynamics

Nonlinear System Identification of Neural Systems from Neurophysiological Signals

Nonlinear System Identification of Neural Systems from Neurophysiological Signals

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