Corticospinal Beta-Band Synchronization Entails Rhythmic Gain Modulation

Elswijk, G.A.F. van; Maij, Femke; Schoffelen, Jan Mathijs; Overeem, Sebastiaan; Stegeman, Dick F.; Fries, Pascal

doi:10.1523/jneurosci.2794-09.2010

Cited by 101 publications

(110 citation statements)

References 49 publications

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“…If the MUA response peak would coincide with a peak of gamma-modulated MUA firing, the response would be enhanced, and vice versa. The size of such an additive superposition effect can be estimated by mathematically adding the average MUA response to the pre-input MUA record after phase binning (van Elswijk et al, 2010). Specifically, we defined a surrogate input time at 150 ms before the actual input time.…”

Section: Resultsmentioning

confidence: 99%

Gamma-Rhythmic Gain Modulation

Wunderle

Lewis

et al. 2016

Neuron

115

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Summary Cognition requires the dynamic modulation of effective connectivity, i.e. the modulation of the postsynaptic neuronal response to a given input. If postsynaptic neurons are rhythmically active, this might entail rhythmic gain modulation, such that inputs synchronized to phases of high gain benefit from enhanced effective connectivity. We show that visually induced gamma-band activity in awake macaque area V4 rhythmically modulates responses to unpredictable stimulus events. This modulation exceeded a simple additive superposition of a constant response onto ongoing gamma-rhythmic firing, demonstrating the modulation of multiplicative gain. Gamma phases leading to strongest neuronal responses also led to shortest behavioral reaction times, suggesting functional relevance of the effect. Furthermore, we find that constant optogenetic stimulation of anesthetized cat area 21a produces gamma-band activity entailing a similar gain modulation. As the gamma rhythm in area 21a did not spread backwards to area 17, this suggests that postsynaptic gamma is sufficient for gain modulation.

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Section: Resultsmentioning

confidence: 99%

Gamma-Rhythmic Gain Modulation

Wunderle

Lewis

et al. 2016

Neuron

115

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“…Note the significantly higher EMG SP for UF than for PF. Kristeva et al 2007;Schoffelen et al 2008;van Elswijk et al 2010). However, it is unlikely that during unpredictable behavior the brain uses a less effective way of communication with the periphery.…”

Section: Why Is the Corticomuscular Coherence Reduced With Unpredictamentioning

confidence: 99%

The strength of the corticospinal coherence depends on the predictability of modulated isometric forces

Méndez-Balbuena

Naranjo

Wang

et al. 2013

Journal of Neurophysiology

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The strength of the corticospinal coherence depends on the predictability of modulated isometric forces. J Neurophysiol 109: 1579 -1588, 2013. First published December 19, 2012 doi:10.1152/jn.00187.2012.-Isometric compensation of predictably frequency-modulated low forces is associated with corticomuscular coherence (CMC) in beta and low gamma range. It remains unclear how the CMC is influenced by unpredictably modulated forces, which create a mismatch between expected and actual sensory feedback. We recorded electroencephalography from the contralateral hand motor area, electromyography (EMG), and the motor performance of 16 subjects during a visuomotor task in which they had to isometrically compensate target forces at 8% of the maximum voluntary contraction with their right index finger. The modulated forces were presented with predictable or unpredictable frequencies. We calculated the CMC, the cortical motor alpha-, beta-, and gamma-range spectral powers (SP), and the taskrelated desynchronization (TRD), as well as the EMG SP and the performance. We found that in the unpredictable condition the CMC was significantly lower and associated with lower cortical motor SP, stronger TRD, higher EMG SP, and worse performance. The findings suggest that due to the mismatch between predicted and actual sensory feedback leading to higher computational load and less stationary motor state, the unpredictable modulation of the force leads to a decrease in corticospinal synchrony, an increase in cortical and muscle activation, and a worse performance. coherence; human; predictable; oscillations; unpredictable THE BETA AND GAMMA OSCILLATIONS over the sensorimotor cortex are known to synchronize with oscillations in the contralateral motoneuronal pool that can be computed by coherence. Previous primate and human studies showed that beta-range corticomuscular coherence (CMC) is mainly associated with isometric compensation of steady-state forces (Baker and Baker 2003; Baker et al. 1997Baker et al. , 2006 Bressler 2009; Brown 2000; Cheyne et al. 2008;Conway et al. 1995; Engel and Fries 2010; Feige et al. 2000;Gross et al. 2000;Halliday et al. 1998;Houweling et al. 2010;Kristeva-Feige et al. 1993;Murthy and Fetz 1992, 1996a, 1996bPerez et al. 2006;Riddle and Baker 2006;Salenius et al. 1997;Sanes and Donoghue 1993;Tecchio et al. 2006;Witham et al. 2010). The CMC is most likely mediated by monosynaptic connections to the motoneurons (Baker et al. 2003;Conway et al. 1995). However, a large body of evidence was accumulated indicating that the CMC also represents sensory feedback from the moving part of the body (Baker et al. 2006). We have reported that the beta-range CMC is not specific for static forces only. The sensorimotor system may resort to stronger and also broader beta-range CMC to generate stable corticospinal interaction at higher force levels than 4% maximum voluntary contraction (MVC) when compensating for dynamic predictable frequency-modulated forces (from 8 to 16 and to 24% MVC) (Chakarov et al. 2009). Interesti...

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“…According to the model of rhythmic input gain modulation, neuronal ensembles are susceptible to input sent from other cells only during a narrow phase window of their oscillation cycle (Fries, 2009;van Elswijk et al, 2010). The phase modulation of corticospinal beta-range coherence may entail a suboptimal input gain for nonstationary force-related processing while promoting the corticospinal integration of information relevant for static force application.…”

Section: Why Is the Beta-range Coherence Enhanced After Different Dynmentioning

confidence: 99%

Corticospinal Beta-Range Coherence Is Highly Dependent on the Pre-stationary Motor State

Omlor¹,

Patino²,

Méndez-Balbuena³

et al. 2011

J. Neurosci.

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During steady muscle contractions, the human sensorimotor cortex generates oscillations in the beta-frequency range (15-30 Hz) that are coherent with the activity of contralateral spinal motoneurons. This corticospinal coherence is thought to favor stationary motor states, but its mode of operation remains elusive. We hypothesized that corticospinal beta-range coherence depends on the sensorimotor processing state before a steady force task and may thus increase after sensorimotor tuning to dynamic force generation. To test this hypothesis we instructed 16 human subjects to compensate static force after rest as well as after compensating predictable or unpredictable dynamic force with their right index finger. We calculated EEG-EMG coherence, cortical motor spectral power, and the motor performance during the force conditions. Corticospinal beta-coherence during stationary force was excessively elevated if the steadystate contraction was preceded by predictable dynamic force instead of rest, and was highest after unpredictable dynamic force. The beta-power decreased from rest to predictable dynamic force, and was lowest during unpredictable dynamic force. The increase in corticospinal beta-coherence showed a significant negative correlation with the preceding change in beta-power. The tuning to dynamic force did not entail an inferior motor performance during static force. The results imply a correlation between corticospinal beta-range coherence and the computational load of the preceding isometric motor engagement. We suggest beta-range coherence provides a functional corticospinal gateway for steady force-related processing that can override cortical states tuned to dynamic force. The modulation of corticospinal beta-range coherence might thus ensure comparable precision of static force in various motor contexts.

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Corticospinal Beta-Band Synchronization Entails Rhythmic Gain Modulation

Cited by 101 publications

References 49 publications

Gamma-Rhythmic Gain Modulation

Gamma-Rhythmic Gain Modulation

The strength of the corticospinal coherence depends on the predictability of modulated isometric forces

Corticospinal Beta-Range Coherence Is Highly Dependent on the Pre-stationary Motor State

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