Local entrainment of oscillatory activity induced by direct brain stimulation in humans

Amengual, Julià L.; Vernet, Marine; Adam, Claude; Valero‐Cabré, Antoni

doi:10.1038/srep41908

Cited by 25 publications

(33 citation statements)

References 75 publications

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“…Data obtained at different intensity levels and considering an unequal number of repetitions (at each stimulation intensity) were used from different brain sites of the same patient across distinct patients. A recent study by our group in this same clinical model, showed that regardless of stimulation intensity, intracranial stimulation (with 50 Hz bursts) induced non-statistically significant increases of gamma power 16 . We hence assumed that stimulation intensity would not significantly impact the magnitude of power enhancements generated by electrical pulsed perturbations.…”

Section: Time-frequency Analyses Of Ieeg and Statistical Strategiesmentioning

confidence: 60%

“…For each stimulation pulse we extracted 1400 ms of iEEG data (500 ms prior and 900 ms following the onset of each electrical pulse). Data were pre-processed with a pipeline based on in-house programmed software (Matlab, Mathworks, MA, USA) including an artifact removal procedure to eliminate stimulation artifacts 16 and a Laplacian data transformation to estimate local field potentials induced by each electrical pulse 23 . Importantly, only single pulse iEEG data from contacts corresponding to areas classified by an expert epileptologist as non-epileptogenic (i.e., documented as 'healthy' in a clinical report employed later to discuss and plan neurosurgical approaches) were included in our analyses.…”

Section: Intracranial Eeg Data Pre-processingmentioning

confidence: 99%

“…Electrical currents injected by the stimulation induced a stereotyped artifact characterized by highamplitude waveforms, which affected recordings for at least 7 milliseconds 24 . These were eliminated by removing a 12 ms epoch of the signal (spanning from 1 ms prior to pulse onset to 11 ms thereafter) and interpolating blank periods with a weighted cubic spline interpolation method 16,22,25 . This same method was applied to iEEG traces recorded from every contact of the implantation scheme (i.e.…”

Section: Intracranial Eeg Data Pre-processingmentioning

confidence: 99%

“…Indeed, recent reports have shown that frequency-tailored entrainment of oscillatory activity can be achieved either with isolated pulsed perturbations inducing local phase-resetting and the synchronization of local oscillators 13 , or alternatively, with periodical perturbations able to entrain oscillations at frequencies dictated by the temporal distribution of pulses within stimulation bursts 10,14 . Moreover, combined (EEG)/Magnetoencephalography (MEG) recordings in humans have contributed neurophysiological evidence in favor of enhanced neural oscillatory activity during the delivery of focal patterns of rhythmic non-invasive (TMS/tACS) and invasive intracranial electrical stimulation 12,[14][15][16] .…”

Section: Introductionmentioning

confidence: 99%

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Perturbation-based mapping of natural frequencies with direct intracranial stimulation of the human brain

Amengual¹,

Stengel²,

Moreau³

et al. 2019

Preprint

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Theoretical and experimental evidence suggest that the induction of oscillatory activity by an external rhythmic source on a specific brain area is maximally efficient if the input pattern matches its so-called 'natural' frequency, defined as the predominant neural rhythm at which the activity of this area tends to fluctuate spontaneously. Based on this principle, single pulse Transcranial Magnetic Stimulation (TMS) coupled to scalp electroencephalography (EEG) has provided evidence of frequency-specific power increases within a unique 'natural' frequency band, considered common to the whole lobe.In an attempt to gain deeper insight into this phenomenon and set the basis for a finergrained atlas of 'natural' frequencies, here we analyzed intracranial EEG (iEEG) signals modulated by single pulses of direct electrical brain stimulation in human patients implanted with depth multielectrodes. Our analyses revealed changes in local EEG activity emerging from local oscillators and contributing to a complex distribution of frequency-specific 'natural' rhythmic responses throughout cortical regions. Moreover, challenging the notion of 'natural' oscillations featuring a predominant frequency band characteristic for an entire lobe, our data support a rich diversity of spectral fingerprints (narrowband, vs. broadband or multiband) with single or multiple frequency peaks, often encompassing contiguous frequency bands, operating at a very local scale.Our findings contribute novel insights on which specific brain areas could be more likely to be synchronized at a given frequencies band and their preferred coupling frequencies, features that could ultimately inform on their structural and functional organization. Our results may also increase our mechanistic understanding of invasive and noninvasive brain stimulation and promote further developments of these approaches for the manipulation of brain oscillations subtending normal and impaired cognition.-3- KEYWORDSLocal synchrony, Rhythmic brain activity, Oscillatory patterns, Natural frequency, Oscillation phase, Intracranial direct brain stimulation, Intracranial electroencephalography, Implanted intracranial multielectrodes, Oscillation-based coding, neuromodulation, oscillatory entrainment, Human cognition of the input matches the frequency of the to-be-entrained oscillators 1 . Such approaches prone that oscillatory entrainment could be most easily achieved by tuning stimulation frequency to the most prominent rhythm operating physiologically on the targeted brain region, hence at the so called 'natural' frequency 13,14 . However, mapping efforts exploring the precise distribution of 'natural' rhythms across brain systems and characterizing local 'natural' spectral fingerprints associated to specific brain sites remain a work in progress.The most common strategy to compile atlases of 'natural' rhythmic patterns in the human brain has consisted in studying the spectral components of resting state neurophysiological signals with high resolution EEG/MEG systems 17 . Nonetheles...

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Section: Time-frequency Analyses Of Ieeg and Statistical Strategiesmentioning

confidence: 60%

Section: Intracranial Eeg Data Pre-processingmentioning

confidence: 99%

Section: Intracranial Eeg Data Pre-processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Perturbation-based mapping of natural frequencies with direct intracranial stimulation of the human brain

Amengual¹,

Stengel²,

Moreau³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…In line with earlier findings and the most current mechanistic understanding of stimulationinduced entrainment (Thut et al, 2011a;Thut et al, 2017), the entrainment phenomenon occurs mainly in a frequency band centered around the stimulation frequency (Thut et al, 2011b;Amengual et al, 2017). On that basis, and also building on our prior experience in the domain Chanes et al, 2015;Quentin et al, 2015;Quentin et al, 2016), our task design and our analytical and statistical strategy were directed to assess changes in oscillatory activity centered in the TMS frequency (30 Hz) delivered to the right FEF.…”

Section: Eeg Recordings and Analysesmentioning

confidence: 69%

Entrainment of local synchrony reveals a causal role for high-beta right frontal oscillations in human visual consciousness

Stengel

Quentin

Amengual

et al. 2019

Preprint

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Prior evidence supports the critical role of oscillatory activity in cognitive function, but are cerebral oscillations simply correlated or causally linked to specific aspects of visual cognition? Here, EEG signals were recorded on humans performing a conscious visual detection task, while they received brief rhythmic or random noninvasive stimulation patterns delivered to the right Frontal Eye Field prior to the onset of a lateralized target. Compared to random patterns, rhythmic high-beta patterns led to greater entrainment of local oscillations (i.e., increased power and phase alignment at the stimulation frequency), and to higher conscious detection of contralateral targets. When stimulation succeeded in enhancing visual detection, the magnitude of oscillation entrainment correlated with visual performance increases. Our study demonstrates a causal link between high-beta oscillatory activity in the Frontal Eye Field and conscious visual perception. Furthermore, it supports future applications of brain stimulation to manipulate local synchrony and improve or restore impaired visual behaviors. A High-beta Power (30 Hz; [-133 0] ms) Active Sham Active vs. Sham Rhythmic Random Rhythmic vs. Random Event-related spectrum perturbation (FC2)

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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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Local entrainment of oscillatory activity induced by direct brain stimulation in humans

Cited by 25 publications

References 75 publications

Perturbation-based mapping of natural frequencies with direct intracranial stimulation of the human brain

Perturbation-based mapping of natural frequencies with direct intracranial stimulation of the human brain

Entrainment of local synchrony reveals a causal role for high-beta right frontal oscillations in human visual consciousness

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

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