Imaging human cortical responses to intraneural microstimulation using magnetoencephalography

O'Neill, George; Watkins, Roger Holmes; Ackerley, Rochelle; Barratt, Eleanor L.; Sengupta, Ayan; Asghar, Michael; Panchuelo, Rosa M. Sanchez; Brookes, Matthew J.; Glover, Paul; Wessberg, Johan; Francis, Susan T.

doi:10.1016/j.neuroimage.2019.01.017

Cited by 6 publications

(14 citation statements)

References 68 publications

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“…It has been shown in a 7 T fMRI study where participants had both their median nerve stimulated using INMS and their digits mapped using a travelling wave paradigm, that the areas of maximal functional activation occurred within the expected digit area ( Sanchez Panchuelo et al., 2016 ). We have also recently demonstrated that stimulation of a single 1 st order interneuron reliably induces a reduction in neural oscillatory power in S1 in the beta (13–30 Hz) band ( O’Neill et al., 2019 ). However, in the latter study we did not have the probabilistic digit maps to corroborate that beta oscillations mapped to the correct digit representations in the cortex.…”

Section: Application Of the Probabilistic Atlas To Electrophysiologicmentioning

confidence: 97%

“…The datasets and experimental methods have been presented in ( O’Neill et al., 2019 ), and so a summary outline of the data and processing methods follows. In this subset of the data, 3 participants volunteered to undergo INMS of the left median nerve using an in-house microneurography and microstimulation kit ( Glover et al., 2017 ).…”

Section: Application Of the Probabilistic Atlas To Electrophysiologicmentioning

confidence: 99%

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A probabilistic atlas of finger dominance in the primary somatosensory cortex

et al. 2020

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With the advent of ultra-high field (7T), high spatial resolution functional MRI (fMRI) has allowed the differentiation of the cortical representations of each of the digits at an individual-subject level in human primary somatosensory cortex (S1). Here we generate a probabilistic atlas of the contralateral SI representations of the digits of both the left and right hand in a group of 22 right-handed individuals. The atlas is generated in both volume and surface standardised spaces from somatotopic maps obtained by delivering vibrotactile stimulation to each distal phalangeal digit using a travelling wave paradigm. Metrics quantify the likelihood of a given position being assigned to a digit (full probability map) and the most probable digit for a given spatial location (maximum probability map). The atlas is validated using a leave-one-out cross validation procedure. Anatomical variance across the somatotopic map is also assessed to investigate whether the functional variability across subjects is coupled to structural differences. This probabilistic atlas quantifies the variability in digit representations in healthy subjects, finding some quantifiable separability between digits 2, 3 and 4, a complex overlapping relationship between digits 1 and 2, and little agreement of digit 5 across subjects. The atlas and constituent subject maps are available online for use as a reference in future neuroimaging studies.

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Section: Application Of the Probabilistic Atlas To Electrophysiologicmentioning

confidence: 97%

Section: Application Of the Probabilistic Atlas To Electrophysiologicmentioning

confidence: 99%

A probabilistic atlas of finger dominance in the primary somatosensory cortex

et al. 2020

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“…(2016) and O'Neill et al. (2019) from experimental series B. Commercial tungsten microelectrodes (model UNA15FNM; FHC, Bowdoin, ME, USA) with tip diameters of ∼5 μm were inserted perpendicularly into the skin and adjusted to an intraneural position for neural recordings.…”

Section: Methodsmentioning

confidence: 99%

“…1. The median nerve, which projects to the majority of the glabrous skin of the hand, was accessed ∼3 cm proximal to the wrist; for more details, see Sanchez Panchuelo et al (2016) andO'Neill et al (2019) from experimental series B. Commercial tungsten microelectrodes (model UNA15FNM; FHC, Bowdoin, ME, USA) with tip diameters of ∼5 μm were inserted perpendicularly into the skin and adjusted to an intraneural position for neural recordings.…”

Section: Experimental Approachmentioning

confidence: 99%

Slowly‐adapting type II afferents contribute to conscious touch sensation in humans: Evidence from single unit intraneural microstimulation

Watkins

Amante

Wasling

et al. 2022

The Journal of Physiology

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Slowly‐adapting type II (SA‐II, Ruffini) mechanoreceptive afferents respond well to pressure and stretch, and are regularly encountered in human microneurography studies. Despite an understanding of SA‐II response properties, their role in touch perception remains unclear. Specific roles of different myelinated Aβ mechanoreceptive afferents in tactile perception have been revealed using single unit intraneural microstimulation (INMS), via microneurography, recording from and then electrically stimulating individual afferents. This method directly links single afferent artificial activation to perception, where INMS produces specific ‘quantal’ touch percepts associated with different mechanoreceptive afferent types. However, SA‐II afferent stimulation has been ambiguous, producing inconsistent, vague sensations, or no clear percept. We physiologically characterized hundreds of individual Aβ mechanoreceptive afferents in the glabrous hand skin and examined the subsequent percepts evoked by trains of low amplitude INMS current pulses (<10 μA). We present 18 SA‐II afferents where INMS resulted in a clear, electrically evoked sensation of large (∼36 mm2) diffuse pressure, which was projected precisely to their physiologically‐defined receptive field in the skin. This sensation was felt as natural, distinctive from other afferents, and showed no indications of multi‐afferent stimulation. Stimulus frequency modulated sensation intensity and even brief stimuli (4 pulses, 60 ms) were perceived. These results suggest that SA‐II afferents contribute to perceived tactile sensations, can signal this rapidly and precisely, and are relevant and important for computational models of touch sensation and artificial prosthetic feedback. Key points Slowly adapting type II mechanoreceptors (SA‐IIs) are primary sensory neurons in humans that respond to pressure and stretch applied to the skin. To date, no specific conscious correlate of touch has been linked to SA‐II activation. Using microneurography and intraneural microstimulation to stimulate single sensory neurons in human subjects, we find a specific sensation linked to the activation of single SA‐II afferents. This sensation of touch was reported as gentle pressure and subjects could detect this with a high degree of accuracy. Methods of artificial tactile sensory feedback and computational models of touch should include SA‐IIs as meaningful contributors to the conscious sensation of touch.

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“…Our interest was the brain connectivity during the mutual regulation of emotion and movement. According to the literatures (Selma Aybek et al, 2015;Tipper et al, 2015;Hua et al, 2018;Neill et al, 2019), synchronous activation of the frontal lobe and motor cortex occurs during emotion recognition. In the present research, quantitative calculation found similar results in the state of emotion-movement regulation.…”

Section: Motion-affective Connectivitymentioning

confidence: 99%

Analyzing Brain Connectivity in the Mutual Regulation of Emotion–Movement Using Bidirectional Granger Causality

Xue

et al. 2020

Front. Neurosci.

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Body language and movement are important media of emotional expression. There is an interactive physiological relationship between emotion and movement. Thus, we hypothesize that the emotional cortex interacts with the motor cortex during the mutual regulation of emotion and movement. And this interaction can be revealed by brain connectivity analysis based on electroencephalogram (EEG) signal processing. We proposed a brain connectivity analysis method: bidirectional long short-term memory Granger causality (bi-LSTM-GC). The theoretical basis of the proposed method was Granger causality estimation using a bidirectional LSTM recurrent neural network (RNN) for solving nonlinear parameters. Then, we compared the accuracy of the bi-LSTM-GC with other unidirectional connectivity methods. The results demonstrated that the information interaction existed among multiple brain regions (EEG 10-20 system) in the paradigm of emotion-movement regulation. The detected directional dependencies in EEG signals were mainly distributed from the frontal to the central region and from the prefrontal to the central-parietal.

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Imaging human cortical responses to intraneural microstimulation using magnetoencephalography

Cited by 6 publications

References 68 publications

A probabilistic atlas of finger dominance in the primary somatosensory cortex

A probabilistic atlas of finger dominance in the primary somatosensory cortex

Slowly‐adapting type II afferents contribute to conscious touch sensation in humans: Evidence from single unit intraneural microstimulation

Analyzing Brain Connectivity in the Mutual Regulation of Emotion–Movement Using Bidirectional Granger Causality

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