Imaging the effective networks associated with cortical function through intracranial high‐frequency stimulation

Barborică, Andrei; Oane, Irina; Donos, Cristian; Daneasa, Andrei; Mihai, Felicia; Pistol, Constantin; Dabu, Aurelia; Roceanu, Adina; Mı̂ndruță, Ioana

doi:10.1002/hbm.25749

Cited by 5 publications

(2 citation statements)

References 58 publications

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“…Barborica et. al have utilized an alternating polarity stimulation method that minimizes the power at the stimulation frequency and its super-harmonics (Barborica et al, 2022 ). Recording techniques like bipolar montages can also be used to minimize common mode artifacts between electrodes (Perrone-Bertolotti et al, 2020 ), though this method is only applicable to artifacts coming from distant sources.…”

Section: Introductionmentioning

confidence: 99%

Artifact propagation in subdural cortical electrostimulation: Characterization and modeling

Lim

Wang²,

Shaw³

et al. 2022

Front. Neurosci.

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Cortical stimulation via electrocorticography (ECoG) may be an effective method for inducing artificial sensation in bi-directional brain-computer interfaces (BD-BCIs). However, strong electrical artifacts caused by electrostimulation may significantly degrade or obscure neural information. A detailed understanding of stimulation artifact propagation through relevant tissues may improve existing artifact suppression techniques or inspire the development of novel artifact mitigation strategies. Our work thus seeks to comprehensively characterize and model the propagation of artifacts in subdural ECoG stimulation. To this end, we collected and analyzed data from eloquent cortex mapping procedures of four subjects with epilepsy who were implanted with subdural ECoG electrodes. From this data, we observed that artifacts exhibited phase-locking and ratcheting characteristics in the time domain across all subjects. In the frequency domain, stimulation caused broadband power increases, as well as power bursts at the fundamental stimulation frequency and its super-harmonics. The spatial distribution of artifacts followed the potential distribution of an electric dipole with a median goodness-of-fit of R2 = 0.80 across all subjects and stimulation channels. Artifacts as large as ±1,100 μV appeared anywhere from 4.43 to 38.34 mm from the stimulation channel. These temporal, spectral and spatial characteristics can be utilized to improve existing artifact suppression techniques, inspire new strategies for artifact mitigation, and aid in the development of novel cortical stimulation protocols. Taken together, these findings deepen our understanding of cortical electrostimulation and provide critical design specifications for future BD-BCI systems.

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Section: Introductionmentioning

confidence: 99%

Artifact propagation in subdural cortical electrostimulation: Characterization and modeling

Lim

Wang²,

Shaw³

et al. 2022

Front. Neurosci.

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show abstract

“…Many forms of external physical stimulation (electric, optical, ultrasound, and magnetic stimulation) can regulate brain functions and the treatment of brain disorders (Darmani et al, 2022 ). Compared with electrical stimulation, known as the gold standard (Barborica et al, 2022 ), optical stimulation techniques have an extremely high value in the neuromodulation field due to their high spatial accuracy and positional targeting. Among the optical stimulation techniques, the ability of infrared neural stimulation (INS) to activate or inhibit nerve cells without any genetic or chemical tissue modification provides better safety and clinical feasibility when compared with the other types of optical techniques (Rajguru et al, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

Response of a neuronal network computational model to infrared neural stimulation

Wei

Song

et al. 2022

Front. Comput. Neurosci.

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Infrared neural stimulation (INS), as a novel form of neuromodulation, allows modulating the activity of nerve cells through thermally induced capacitive currents and thermal sensitivity ion channels. However, fundamental questions remain about the exact mechanism of INS and how the photothermal effect influences the neural response. Computational neural modeling can provide a powerful methodology for understanding the law of action of INS. We developed a temperature-dependent model of ion channels and membrane capacitance based on the photothermal effect to quantify the effect of INS on the direct response of individual neurons and neuronal networks. The neurons were connected through excitatory and inhibitory synapses and constituted a complex neuronal network model. Our results showed that a slight increase in temperature promoted the neuronal spikes and enhanced network activity, whereas the ultra-temperature inhibited neuronal activity. This biophysically based simulation illustrated the optical dose-dependent biphasic cell response with capacitive current as the core change condition. The computational model provided a new sight to elucidate mechanisms and inform parameter selection of INS.

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Imaging the effective networks associated with cortical function through intracranial high‐frequency stimulation

Barborică

Oane

Donos

et al. 2021

Human Brain Mapping

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Direct electrical stimulation (DES) is considered to be the gold standard for mapping cortical function. A careful mapping of the eloquent cortex is key to successful resective or ablative surgeries, with a minimal postoperative deficit, for treatment of drug‐resistant epilepsy. There is accumulating evidence suggesting that not only local, but also remote activations play an equally important role in evoking clinical effects. By introducing a new intracranial stimulation paradigm and signal analysis methodology allowing to disambiguate EEG responses from stimulation artifacts we highlight the spatial extent of the networks associated with clinical effects. Our study includes 26 patients that underwent stereoelectroencephalographic investigations for drug‐resistant epilepsy, having 337 depth electrodes with 4,351 contacts sampling most brain structures. The routine high‐frequency electrical stimulation protocol for eloquent cortex mapping was altered in a subtle way, by alternating the polarity of the biphasic pulses in a train, causing the splitting the spectral lines of the artifactual components, exposing the underlying tissue response. By performing a frequency‐domain analysis of the EEG responses during DES we were able to capture remote activations and highlight the effect's network. By using standard intersubject averaging and a fine granularity HCP‐MMP parcellation, we were able to create local and distant connectivity maps for 614 stimulations evoking specific clinical effects. The clinical value of such maps is not only for a better understanding of the extent of the effects' networks guiding the invasive exploration, but also for understanding the spatial patterns of seizure propagation given the timeline of the seizure semiology.

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Imaging the effective networks associated with cortical function through intracranial high‐frequency stimulation

Cited by 5 publications

References 58 publications

Artifact propagation in subdural cortical electrostimulation: Characterization and modeling

Artifact propagation in subdural cortical electrostimulation: Characterization and modeling

Response of a neuronal network computational model to infrared neural stimulation

Imaging the effective networks associated with cortical function through intracranial high‐frequency stimulation

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