Subthalamic nucleus gamma activity increases not only during movement but also during movement inhibition

Fischer, Petra; Pogosyan, Alek; Herz, Damian M.; Cheeran, Binith; Green, Alexander L.; FitzGerald, James J.; Aziz, Tipu Z.; Hyam, Jonathan A.; Little, Simon; Foltynie, Thomas; Limousin, Patricia; Zrinzo, Ludvic; Brown, Peter; Tan, Huiling

doi:10.7554/elife.23947

Cited by 61 publications

(52 citation statements)

References 67 publications

(96 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence we simulated the network and explored the connection weights parameter space to find the regions which produced oscillatory activity in the frequency ranges we were particularly interested in. Namely, gamma-band healthy oscillations (>30 Hz; Beudel et al, 2015;Fischer et al, 2017), the tremor band (Deuschl et al, 1998) as we previously observed in our EMG-LFP data (Yousif et al, 2017), and the beta band Parkinsonian oscillations (Hammond et al, 2007). Examples of these three classes of oscillations are shown in Figure 2 and discussed in more detail below.…”

Section: Network Oscillationssupporting

confidence: 60%

“…In this article, we present new results from a combined model which exhibits Parkinsonian oscillations in the beta band, oscillations in the tremor frequency range, as well as oscillations in the gamma band which we term ''healthy'' (Beudel et al, 2015;Fischer et al, 2017). We find critical boundaries in the parameter space of the model separating regions with different dynamics.…”

Section: A Unified Networkmentioning

confidence: 91%

See 1 more Smart Citation

A Population Model of Deep Brain Stimulation in Movement Disorders From Circuits to Cells

Yousif

Bain

Nandi

et al. 2020

Front. Hum. Neurosci.

View full text Add to dashboard Cite

For more than 30 years, deep brain stimulation (DBS) has been used to target the symptoms of a number of neurological disorders and in particular movement disorders such as Parkinson's disease (PD) and essential tremor (ET). It is known that the loss of dopaminergic neurons in the substantia nigra leads to PD, while the exact impact of this on the brain dynamics is not fully understood, the presence of beta-band oscillatory activity is thought to be pathological. The cause of ET, however, remains uncertain, however pathological oscillations in the thalamocortical-cerebellar network have been linked to tremor. Both of these movement disorders are treated with DBS, which entails the surgical implantation of electrodes into a patient's brain. While DBS leads to an improvement in symptoms for many patients, the mechanisms underlying this improvement is not clearly understood, and computational modeling has been used extensively to improve this. Many of the models used to study DBS and its effect on the human brain have mainly utilized single neuron and single axon biophysical models. We have previously shown in separate models however, that the use of population models can shed much light on the mechanisms of the underlying pathological neural activity in PD and ET in turn, and on the mechanisms underlying DBS. Together, this work suggested that the dynamics of the cerebellar-basal ganglia thalamocortical network support oscillations at frequency range relevant to movement disorders. Here, we propose a new combined model of this network and present new results that demonstrate that both Parkinsonian oscillations in the beta band and oscillations in the tremor frequency range arise from the dynamics of such a network. We find regions in the parameter space demonstrating the different dynamics and go on to examine the transition from one oscillatory regime to another as well as the impact of DBS on these different types of pathological activity. This work will allow us to better understand the changes in brain activity induced by DBS, and allow us to optimize this clinical therapy, particularly in terms of target selection and parameter setting.

show abstract

Section: Network Oscillationssupporting

confidence: 60%

Section: A Unified Networkmentioning

confidence: 91%

A Population Model of Deep Brain Stimulation in Movement Disorders From Circuits to Cells

Yousif

Bain

Nandi

et al. 2020

Front. Hum. Neurosci.

View full text Add to dashboard Cite

show abstract

“…A rapid increase in the power of gamma oscillations occurs before and during movement execution as well as during rapid action stopping [ 2 , 7 , 38 – 41 ]. Gamma activity in M1 has been considered to be a prokinetic rhythm [ 42 , 43 ] or to underlie flexible motor control [ 41 ]. Therefore, by entraining neuronal activity in the gamma frequency band, gamma tACS may exert prokinetic effects on repetitive finger movements and promote the dynamic control of motor output.…”

Section: Discussionmentioning

confidence: 99%

Effects of Transcranial Alternating Current Stimulation on Repetitive Finger Movements in Healthy Humans

et al. 2018

Self Cite

View full text Add to dashboard Cite

Transcranial alternating current stimulation (tACS) is a noninvasive neurophysiological technique that can entrain brain oscillations. Only few studies have investigated the effects of tACS on voluntary movements. We aimed to verify whether tACS, delivered over M1 at beta and gamma frequencies, has any effect on repetitive finger tapping as assessed by means of kinematic analysis. Eighteen healthy subjects were enrolled. Objective measurements of repetitive finger tapping were obtained by using a motion analysis system. M1 excitability was assessed by using single-pulse TMS and measuring the amplitude of motor-evoked potentials (MEPs). Movement kinematic measures and MEPs were collected during beta, gamma, and sham tACS and when the stimulation was off. Beta tACS led to an amplitude decrement (i.e., progressive reduction in amplitude) across the first ten movements of the motor sequence while gamma tACS had the opposite effect. The results did not reveal any significant effect of tACS on other movement parameters, nor any changes in MEPs. These findings demonstrate that tACS modulates finger tapping in a frequency-dependent manner with no concurrent changes in corticospinal excitability. The results suggest that cortical beta and gamma oscillations are involved in the motor control of repetitive finger movements.

show abstract

“…A substantial body of research performed in hippocampal slice preparations, as well as in neocortical and other brain regions suggests that γ oscillations arise from interactions between reciprocally connected inhibitory interneurons and pyramidal cells [ 9 ]. While motor cortex γ activity is considered to be prokinetic in nature [ 7 , 10 •, 11 ], this view does not fully reflect its functional complexity [ 12 , 13 ], and its precise role in motor processes remains to be elucidated. Recently developed interventional approaches, such as optogenetic tools in animals and transcranial alternating current stimulation (tACS) in humans, offer unique opportunity to study mechanisms underlying rhythmic activity and establish a causal relationship between motor cortical oscillations and various aspects of motor control.…”

Section: Introductionmentioning

confidence: 99%

Motor Cortical Gamma Oscillations: What Have We Learnt and Where Are We Headed?

Nowak

Zich

Stagg

2018

Curr Behav Neurosci Rep

View full text Add to dashboard Cite

Purpose of ReviewAn increase in oscillatory activity in the γ-frequency band (approximately 50–100 Hz) has long been noted during human movement. However, its functional role has been difficult to elucidate. The advent of novel techniques, particularly transcranial alternating current stimulation (tACS), has dramatically increased our ability to study γ oscillations. Here, we review our current understanding of the role of γ oscillations in the human motor cortex, with reference to γ activity outside the motor system, and evidence from animal models.Recent FindingsEvidence for the neurophysiological basis of human γ oscillations is beginning to emerge. Multimodal studies, essential given the necessarily indirect measurements acquired in humans, are beginning to provide convergent evidence for the role of γ oscillations in movement, and their relationship to plasticity.SummaryHuman motor cortical γ oscillations appear to play a key role in movement, and relate to learning. However, there are still major questions to be answered about their physiological basis and precise role in human plasticity. It is to be hoped that future research will take advantage of recent technical advances and the physiological basis and functional significance of this intriguing and important brain rhythm will be fully elucidated.

show abstract

Subthalamic nucleus gamma activity increases not only during movement but also during movement inhibition

Cited by 61 publications

References 67 publications

A Population Model of Deep Brain Stimulation in Movement Disorders From Circuits to Cells

A Population Model of Deep Brain Stimulation in Movement Disorders From Circuits to Cells

Effects of Transcranial Alternating Current Stimulation on Repetitive Finger Movements in Healthy Humans

Motor Cortical Gamma Oscillations: What Have We Learnt and Where Are We Headed?

Contact Info

Product

Resources

About