Synchronization of beta and gamma oscillations in the somatosensory evoked neuromagnetic steady-state response

Roß, Bernhard; Jamali, Shahab; Miyazaki, Takahiro; Fujioka, Takako

doi:10.1016/j.expneurol.2012.08.019

Cited by 38 publications

(40 citation statements)

References 60 publications

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“…Compared to previous studies using single-sine stimuli [7,11], multi-sine stimulus can evoke richer nonlinearity including the intermodulation coupling among multiple stimulation frequencies [17,21]. In line with previous studies [14,21,41], intermodulation and harmonic couplings were detected in all subjects, indicating that integer multiplication mapping is an important nonlinear mapping in the system. Nevertheless, this indication alone does not mean the proprioceptive system is static, since in this study subharmonic coupling was also found in the majority of the subjects (8 out of 11).…”

Section: Discussionsupporting

confidence: 83%

“…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]). To the best of our knowledge, only Langdon and his colleagues has reported 2:3 subharmonic coupling between brain responses and tactile vibrations [11].…”

Section: Discussionmentioning

confidence: 99%

“…Since a linear system can only generate iso-frequency coupling (quantified by linear coherence or cross-correlation) between an input and the output, a nonlinear interaction can be easily detected in the frequency domain by measuring the input-output interaction across different frequencies [9,11,[14][15][16][17]. Bicoherence and its variants are often used frequency domain methods for probing nonlinear interactions in the nervous system [15,18,19].…”

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: 83%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Harmonic coupling with integer multiples of the stimulation frequencies has been widely reported in the both tactile and proprioceptive studies (Snyder, 1992; Tobimatsu et al, 1999; Jamali and Ross, 2013; Ross et al, 2013; Yang et al, 2016a,b). Recently, Langdon et al (2011) reported non-integer coupling with the ratio 2:3 of brain response to fingertip stimulation.…”

Section: Discussionmentioning

confidence: 97%

Nonlinear Coupling between Cortical Oscillations and Muscle Activity during Isotonic Wrist Flexion

Yang

Solis‐Escalante

Ruit

et al. 2016

Front. Comput. Neurosci.

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Coupling between cortical oscillations and muscle activity facilitates neuronal communication during motor control. The linear part of this coupling, known as corticomuscular coherence, has received substantial attention, even though neuronal communication underlying motor control has been demonstrated to be highly nonlinear. A full assessment of corticomuscular coupling, including the nonlinear part, is essential to understand the neuronal communication within the sensorimotor system. In this study, we applied the recently developed n:m coherence method to assess nonlinear corticomuscular coupling during isotonic wrist flexion. The n:m coherence is a generalized metric for quantifying nonlinear cross-frequency coupling as well as linear iso-frequency coupling. By using independent component analysis (ICA) and equivalent current dipole source localization, we identify four sensorimotor related brain areas based on the locations of the dipoles, i.e., the contralateral primary sensorimotor areas, supplementary motor area (SMA), prefrontal area (PFA) and posterior parietal cortex (PPC). For all these areas, linear coupling between electroencephalogram (EEG) and electromyogram (EMG) is present with peaks in the beta band (15–35 Hz), while nonlinear coupling is detected with both integer (1:2, 1:3, 1:4) and non-integer (2:3) harmonics. Significant differences between brain areas is shown in linear coupling with stronger coherence for the primary sensorimotor areas and motor association cortices (SMA, PFA) compared to the sensory association area (PPC); but not for the nonlinear coupling. Moreover, the detected nonlinear coupling is similar to previously reported nonlinear coupling of cortical activity to somatosensory stimuli. We suggest that the descending motor pathways mainly contribute to linear corticomuscular coupling, while nonlinear coupling likely originates from sensory feedback.

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“…Oscillatory brain activity can be entrained by stimuli of different nature (e.g., visual, auditory, tactile) which may lead to synchronization of neural activity in visual (Mathewson et al, 2012; de Graaf et al, 2013), auditory (Luo and Poeppel, 2007; Besle et al, 2011; Nozaradan et al, 2016), or somatosensory (Langdon et al, 2011; Ross et al, 2013; Ruzzoli and Soto-Faraco, 2014) brain areas. Oscillations in different frequency bands can be synchronized to external stimuli depending on the rhythm of stimulation (Lakatos et al, 2008, 2013).…”

Section: Is Oscillatory Activity Causally Involved In Visual Conscioumentioning

confidence: 99%

Oscillatory Correlates of Visual Consciousness

et al. 2017

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Conscious experiences are linked to activity in our brain: the neural correlates of consciousness (NCC). Empirical research on these NCCs covers a wide range of brain activity signals, measures, and methodologies. In this paper, we focus on spontaneous brain oscillations; rhythmic fluctuations of neuronal (population) activity which can be characterized by a range of parameters, such as frequency, amplitude (power), and phase. We provide an overview of oscillatory measures that appear to correlate with conscious perception. We also discuss how increasingly sophisticated techniques allow us to study the causal role of oscillatory activity in conscious perception (i.e., ‘entrainment’). This review of oscillatory correlates of consciousness suggests that, for example, activity in the alpha-band (7–13 Hz) may index, or even causally support, conscious perception. But such results also showcase an increasingly acknowledged difficulty in NCC research; the challenge of separating neural activity necessary for conscious experience to arise (prerequisites) from neural activity underlying the conscious experience itself (substrates) or its results (consequences).

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Synchronization of beta and gamma oscillations in the somatosensory evoked neuromagnetic steady-state response

Cited by 38 publications

References 60 publications

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

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

Nonlinear Coupling between Cortical Oscillations and Muscle Activity during Isotonic Wrist Flexion

Oscillatory Correlates of Visual Consciousness

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