Electrical stimulation-induced SSSEP as an objective index to evaluate the difference of tactile acuity between the left and right hand

Su, Shiyong; Chai, Guohong; Shu, Xiaokang; Sheng, Xinjun; Zhu, Xiangyang

doi:10.1088/1741-2552/ab5ee9

Cited by 11 publications

(5 citation statements)

References 77 publications

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“…There are currently two reports using SSEPs to study ETS. Wang et al ( 2021 ) used EEG to analyze a subject with amputation and showed the EEG characteristics of different stimulation sites; Su et al ( 2020 ) initially studied the amplitude of SSEPs as an evaluation indicator of feeling. Unlike previous studies, the Oddball paradigm used in this article is to investigate the main cognitive component P300 (Kanda et al, 1996 ).…”

Section: Discussionmentioning

confidence: 99%

EEG Features of Evoked Tactile Sensation: Two Cases Study

Qin

Liang

Xie

et al. 2022

Front. Hum. Neurosci.

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Purpose: Sensory feedback for prosthetics is an important issue. The area of forearm stump skin that has evoked tactile sensation (ETS) of fingers is defined as the projected finger map (PFM), and the area close to the PFM region that does not have ETS is defined as the non-projected finger map (NPFM). Previous studies have confirmed that ETS can restore the tactile pathway of the lost finger, which was induced by stimulation of transcutaneous electrical nerve stimulation (TENS) on the end of stump skin. This study aims to reveal EEG features between the PFM and the NPFM regions of the stumps under the same TENS stimulation condition.Methods: The PFM and NPFM regions of the two subjects were stimulated with the same intensity of TENS, respectively. TENS as target stimuli are modulated according to the Oddball paradigm to evoke the P300 components.Result: The PFM regions of both subjects were able to elicit P300 components, while their NPFM regions were not able to elicit P300 components. However, this P300 appears early (249 ms for subject 1,230 ms for subject 2) and has continuous positive peaks (peak 1,139 ± 3 ms, peak 2,194 ± 0.5 ms) in front of it.Discussion: N30 and P300 can prove that the two subjects with PFM can perceive and recognize ETS. The heteromorphisms of the P300 waveform may be related to the difficulty in subjects’ cognition of ETS or caused by the fusion of P150, P200, and P300.

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Section: Discussionmentioning

confidence: 99%

EEG Features of Evoked Tactile Sensation: Two Cases Study

Qin

Liang

Xie

et al. 2022

Front. Hum. Neurosci.

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“…Breitwieser et al (2012) further applied SSSEP to five fingers of the right hand and proved that it can classify different fingers with SSSEP. Su et al (2020) explored the relation between stimulation intensities and SSSEP. Their results revealed that SSSEP amplitude is positively correlated with the intensity of stimulation and could be used as an index to evaluate the tactile acuity.…”

Section: Sensory-and Motor-related Paradigmsmentioning

confidence: 99%

Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface

Jung

et al. 2021

Cogn Neurodyn

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A brain-computer interface (BCI) can connect humans and machines directly and has achieved successful applications in the past few decades. Many new BCI paradigms and algorithms have been developed in recent years. Therefore, it is necessary to review new progress in BCIs. This paper summarizes progress for EEG-based BCIs from the perspective of encoding paradigms and decoding algorithms, which are two key elements of BCI systems. Encoding paradigms are grouped by their underlying neural meachanisms, namely sensory-and motor-related, vision-related, cognition-related and hybrid paradigms. Decoding algorithms are reviewed in four categories, namely decomposition algorithms, Riemannian geometry, deep learning and transfer learning. This review will provide a comprehensive overview of both modern primary paradigms and algorithms, making it helpful for those who are developing BCI systems.

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“…The value of measured pinch distance was used to modulate the stimulation frequency, meanwhile pulse width and current amplitude were fixed as 200 µs and 3 mA, respectively. These two parameters have been used in our previous work [31,32]. Eight subjects in the previous study were recruited again in this study.…”

Section: Prosthetic Finger Position Controlmentioning

confidence: 99%

“…Frequency modulation resulted in changes of the perceived sensation density. It has been demonstrated that subjects were more sensitive to the change of stimulated frequencies when compared to pulse widths [32]. Here, the frequency modulation was used for stimulation encoding to get a more effective discrimination for the applied stimulation and a better matching between the perceived sensation and feedback information.…”

Section: Prosthetic Finger Position Controlmentioning

confidence: 99%

Neural evidence for functional roles of tactile and visual feedback in the application of myoelectric prosthesis

Su¹,

Chai²,

Wang³

et al. 2023

J. Neural Eng.

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Abstract. Objective. The primary purpose of this study was to investigate the electrophysiological mechanism underlying different modalities of sensory feedback and multi-sensory integration in typical prosthesis control tasks. Approach. We recruited 15 subjects and developed a closed-loop setup for three prosthesis control tasks which covered typical activities in the practical prosthesis application, i.e., prosthesis finger position control (PFPC), grasping force control (GFC) and box and block control (BABC). All the three tasks were conducted under tactile feedback (TF), visual feedback (VF) and tactile-visual feedback (TVF), respectively, with a simultaneous electroencephalography (EEG) recording to assess the electroencephalogram (EEG) response underlying different types of feedback. Behavioral and psychophysical assessments were also administered in each feedback condition. Results. EEG results showed that VF played a predominant role in GFC and BABC tasks. It was reflected by a significantly lower somatosensory alpha event-related desynchronization (ERD) in TVF than in TF and no significant difference in visual alpha ERD between TVF and VF. In PFPC task, there was no significant difference in somatosensory alpha ERD between TF and TVF, while a significantly lower visual alpha ERD was found in TVF than in VF, indicating that TF was essential in situations related to proprioceptive position perception. Tactile-visual integration was found when TF and VF were congruently implemented, showing an obvious activation over the premotor cortex in the three tasks. Behavioral and psychophysical results were consistent with EEG evaluations. Signi cance. Our findings could provide neural evidence for multi-sensory integration and functional roles of tactile and visual feedback in a practical setting of prosthesis control, shedding a multi-dimensional insight into the functional mechanisms of sensory feedback.

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Electrical stimulation-induced SSSEP as an objective index to evaluate the difference of tactile acuity between the left and right hand

Cited by 11 publications

References 77 publications

EEG Features of Evoked Tactile Sensation: Two Cases Study

EEG Features of Evoked Tactile Sensation: Two Cases Study

Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface

Neural evidence for functional roles of tactile and visual feedback in the application of myoelectric prosthesis

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