Somatosensory Thalamic Activity Modulation by Posterior Insular Stimulation: Cues to Clinical Application Based on Comparison of Frequencies in a Cat Model

Chehade, Hiba-Douja; Kobaïter-Maarrawi, Sandra; Komboz, Fares; Farhat, Jean-Paul; Magnin, M.; Garcia-Larrea, Luis; Maarrawi, Joseph

doi:10.1111/ner.13343

Cited by 7 publications

(2 citation statements)

References 80 publications

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“…The integration and processing of nociceptive inputs in the brain involve multiple cortical areas beyond sensory‐motor and prefrontal cortices (Garcia‐Larrea & Bastuji, 2018; Kucyi & Davis, 2017; Peyron et al, 2019). Structures of the so‐called ‘nociceptive matrix’ such as the parietal operculum and posterior insula are the target of most spinothalamic projections reaching the primate cortex (Dum et al, 2009; Garcia‐Larrea & Peyron, 2013), and experimental studies in animals have reported that epidural or deep brain stimulation of insular areas analogous to the human posterior insula led to analgesia, which needed opioid, cannabinoid and/or GABA receptors availability to occur (Alonso‐Matielo et al, 2021; Chehade et al, 2021; Dimov et al, 2018; Franca et al, 2013; Komboz et al, 2022). In humans, direct electric stimulation of the posterior superior insula at ‘inhibitory’ high frequencies (150 Hz) increased heat pain thresholds in patients undergoing stereo‐EEG for focal epilepsy surgery (Denis et al, 2016).…”

Section: Stimulating Extra‐motor Targetsmentioning

confidence: 99%

Beyond trial‐and‐error: Individualizing therapeutic transcranial neuromodulation for chronic pain

Ciampi de Andrade,

García‐Larrea

2023

European Journal of Pain

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Background and ObjectiveRepetitive transcranial magnetic stimulation (rTMS) applied to the motor cortex provides supplementary relief for some individuals with chronic pain who are refractory to pharmacological treatment. As rTMS slowly enters treatment guidelines for pain relief, its starts to be confronted with challenges long known to pharmacological approaches: efficacy at the group‐level does not grant pain relief for a particular patient. In this review, we present and discuss a series of ongoing attempts to overcome this therapeutic challenge in a personalized medicine framework.Databases and Data TreatmentRelevant scientific publications published in main databases such as PubMed and EMBASE from inception until March 2023 were systematically assessed, as well as a wide number of studies dedicated to the exploration of the mechanistic grounds of rTMS analgesic effects in humans, primates and rodents.ResultsThe main strategies reported to personalize cortical neuromodulation are: (i) the use of rTMS to predict individual response to implanted motor cortex stimulation; (ii) modifications of motor cortex stimulation patterns; (iii) stimulation of extra‐motor targets; (iv) assessment of individual cortical networks and rhythms to personalize treatment; (v) deep sensory phenotyping; (vi) personalization of location, precision and intensity of motor rTMS. All approaches except (i) have so far low or moderate levels of evidence.ConclusionsAlthough current evidence for most strategies under study remains at best moderate, the multiple mechanisms set up by cortical stimulation are an advantage over single‐target ‘clean’ drugs, as they can influence multiple pathophysiologic paths and offer multiple possibilities of individualization.SignificanceNon‐invasive neuromodulation is on the verge of personalised medicine. Strategies ranging from integration of detailed clinical phenotyping into treatment design to advanced patient neurophysiological characterisation are being actively explored and creating a framework for actual individualisation of care.

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Section: Stimulating Extra‐motor Targetsmentioning

confidence: 99%

Beyond trial‐and‐error: Individualizing therapeutic transcranial neuromodulation for chronic pain

Ciampi de Andrade,

García‐Larrea

2023

European Journal of Pain

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“…First, the activity of real brain was analyzed to extract the critical information to build artificial neurons, which can map the activity of real neurons. Many neuron models and neural network models have been developed and verified based on physiological experiments for research [34][35][36]. After the modeling, the digital signal generated by artificial neurons containing real neurons' activity will be fed into the closed-loop controller after the signal processing units.…”

Section: A System Framework Descriptionmentioning

confidence: 99%

A Real-Time Hardware Experiment Platform for Closed-Loop Electrophysiology

Liu

Chang

Wang

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

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Targeted stimulation of nervous system has become an increasingly important research tool as well as therapeutic modality, and the stimulation signal acquisition based on the expected signal needs a closed-loop system. Due to the difficulty of biological experiments, the real-time simulation of neural activity is of great significance for the mechanism analysis and the performance improvement of neuromodulation techniques. This paper proposes a real-time hardware experimental platform for closed-loop electrophysiology. The platform integrates a neural computing module and a real-time control module on TMS320F28377D digital signal processors (DSP), and it reserves a programmable interface for users to call the required modules and set module parameters simultaneously. The platform has high compatibility and can be used for closed-loop electrophysiological experiments with different models, different control algorithms and different clamps. We implemented the thalamocortical relay neural computing model and iteration improved proportionalintegral algorithm on the platform for experimental verification in this paper. The neuron firing waveforms of the DSP platform and the MATLAB R2020b simulation waveforms are consistent. Under the same physiological time, the simulation speed of DSP platform is 3 times faster than that of the Intel Core i5-8400 CPU computer, and the neural firing rate of DSP platform is due to the real-time. This platform can be used as a tool to explore the working mechanism of the nervous system. It may promote the development of neuroscience, especially the field of closed-loop neuroscience.

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Sensorimotor regulation of facial expression – An untouched frontier

Bress,

Cascio

2024

Neuroscience & Biobehavioral Reviews

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Somatosensory Thalamic Activity Modulation by Posterior Insular Stimulation: Cues to Clinical Application Based on Comparison of Frequencies in a Cat Model

Cited by 7 publications

References 80 publications

Beyond trial‐and‐error: Individualizing therapeutic transcranial neuromodulation for chronic pain

Beyond trial‐and‐error: Individualizing therapeutic transcranial neuromodulation for chronic pain

A Real-Time Hardware Experiment Platform for Closed-Loop Electrophysiology

Sensorimotor regulation of facial expression – An untouched frontier

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