The Functional Role of Thalamocortical Coupling in the Human Motor Network

Opri, Enrico; Cernera, Stephanie; Okun, Michael S.; Foote, Kelly D.; Gündüz, Ayşegül

doi:10.1523/jneurosci.1153-19.2019

Cited by 34 publications

(27 citation statements)

References 65 publications

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“…The potential for neural coprocessors is being explored in several ongoing investigational human studies. For example, the Activa™ PC+S system has been used to create novel thalamocortical circuit connections in patients with essential tremor, Tourette’s, and Parkinson's disease as part of the NIH BRAIN initiative [8], [9], [10]. To help illustrate the elements of a neural coprocessing system, we will analyze an adaptive deep brain stimulation example from essential tremor.…”

Section: Design Inputs For a Neural Coprocessormentioning

confidence: 99%

See 1 more Smart Citation

A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders

Stanslaski

Herron

Chouinard

et al. 2018

IEEE Trans. Biomed. Circuits Syst.

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152

144

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Developing new tools to better understand disorders of the nervous system, with a goal to more effectively treat them, is an active area of bioelectronic medicine research. Future tools must be flexible and configurable, given the evolving understanding of both neuromodulation mechanisms and how to configure a system for optimal clinical outcomes. We describe a system, the Summit™ RC+S “neural coprocessor,” that attempts to bring the capability and flexibility of a microprocessor to a prosthesis embedded within the nervous system. The paper describes the updated system architecture for the Summit™ RC+S system, the five custom integrated circuits required for bidirectional neural interfacing, the supporting firmware/software ecosystem, and the verification and validation activities to prepare for human implantation. Emphasis is placed on design changes motivated by experience with the CE-marked Activa™ PC+S research tool; specifically, enhancement of sense-stim performance for improved bi-directional communication to the nervous system, implementation of rechargeable technology to extend device longevity, and application of MICS-band telemetry for algorithm development and data management. The technology was validated in a chronic treatment paradigm for canines with naturally-occurring epilepsy, including free ambulation in the home environment, which represents a typical use case for future human protocols.

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Section: Design Inputs For a Neural Coprocessormentioning

confidence: 99%

“…Fully embedded cortical sensing movement-related beta desynchronization being utilized to control sub-cortical thalamic stimulation in an essential tremor subject. Note that as the patient moves (highlighted in green), the low frequency signals desynchronize around 20Hz, and the stimulation amplitude increases [9].…”

Section: Figurementioning

confidence: 99%

A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders

Stanslaski

Herron

Chouinard

et al. 2018

IEEE Trans. Biomed. Circuits Syst.

Self Cite

152

144

View full text Add to dashboard Cite

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“…Similarly, a strong PAC between the depth electrode (phase) and the subdural strip (amplitude) was observed ( Figure 2B). Malekmohammadi et al [13] and our group have both shown the presence of PAC between the VIM and M1 [19]. This PAC was not a feature observed in the three other TS patients recruited into the study.…”

Section: Resultsmentioning

confidence: 44%

Lead Repositioning Guided by Both Physiology and Atlas Based Targeting in Tourette Deep Brain Stimulation

Cagle

Deeb

Eisinger

et al. 2020

Tremor and Other Hyperkinetic Movements

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Background Gilles de la Tourette syndrome (TS) is a childhood onset neuropsychiatric disorder typified by both motor and phonic tics as well as comorbid psychiatric symptoms [5, 6]. Deep brain stimulation (DBS) is currently an experimental treatment strategy for patients with severe and medication refractory TS [22, 28, 29]. Collective evidence drawn from neuroimaging [4, 30, 32], stereotactic lesions [1, 10, 21],

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“…Cross-frequency coupling has also been observed between the gamma activity from the M1 and the low-frequency oscillations from the ventral intermediate nucleus (i.e. the motor nucleus of the thalamus) (38). Thalamo-cortical PAC has been suggested to play a role as a mechanism for gating motor behavior.…”

Section: Motor-related Phase-amplitude Couplingmentioning

confidence: 98%

Brain Oscillatory Coupling during Motor Control as a Potential Biomarker for Autism Spectrum Disorders: a comparative study

Ikeda

Hirosawa

et al. 2020

Preprint

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Abstract Background Autism spectrum disorder (ASD) often involves dysfunction in general motor control and motor coordination, in addition to core symptoms. However, the neural mechanisms underlying motor dysfunction in ASD are poorly understood. To elucidate this issue, we focused on brain oscillations and their coupling in the primary motor cortex (M1). Methods We recorded magnetoencephalography in 18 children with autism spectrum disorder, aged 5 to 7 years, and 19 age- and IQ-matched typically-developing children while they pressed button during a video-game-like motor task. We measured motor-related gamma (70 to 90 Hz) and pre-movement beta oscillations (15 to 25 Hz) in the primary motor cortex. To determine the coupling between beta and gamma oscillations, we applied phase-amplitude coupling to calculate the statistical dependence between the amplitude of fast oscillations and the phase of slow oscillations. Results We observed a motor-related gamma increase and a pre-movement beta decrease in both groups. The autism spectrum disorder group exhibited a reduced motor-related gamma increase ( t(35) = 2.412, p = 0.021 ) and enhanced pre-movement beta decrease ( t(35) = 2.705, p = 0.010 ) in the ipsilateral primary motor cortex. We found the phase-amplitude coupling that the high-gamma activity modulated by the beta rhythm in the primary motor cortex. Phase-amplitude coupling in the ipsilateral primary motor cortex was reduced in the autism spectrum disorder group compared with the control group ( t(35) = 3.610, p = 0.001 ). Using oscillatory changes and their coupling, linear discriminant analysis classified autism spectrum disorder and control groups with high accuracy (area under the receiver operating characteristic curve 97.1%). Limitations Further studies with larger sample size and age range of data are warranted to confirm these effects. Conclusions The current findings revealed alterations in oscillations and oscillatory coupling reflecting the dysregulation of a motor gating mechanism in ASD. These results may be helpful for elucidating the neural mechanisms underlying motor dysfunction in ASD, suggesting the possibility of developing a biomarker for ASD diagnosis.

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The Functional Role of Thalamocortical Coupling in the Human Motor Network

Cited by 34 publications

References 65 publications

A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders

A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders

Lead Repositioning Guided by Both Physiology and Atlas Based Targeting in Tourette Deep Brain Stimulation

Brain Oscillatory Coupling during Motor Control as a Potential Biomarker for Autism Spectrum Disorders: a comparative study

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