Dominant Patterns of Information Flow in the Propagation of the Neuromagnetic Somatosensory Steady-State Response

Methods of functional connectivity are applied ubiquitously in studies involving non-invasive whole-brain signals, but may be not optimal for exploring the propagation of the steady-state responses, which are strong oscillatory patterns of neurodynamics evoked by periodic stimulation. In our study, we explore a functional network underlying the somatosensory steady-state response using methods of effective connectivity. Human magnetoencephalographic (MEG) data were collected in 10 young healthy adults during 23-Hz vibro-tactile stimulation of the right hand index finger. The whole-brain dynamics of MEG source activity was reconstructed with a linearly-constrained minimum variance beamformer. We applied information-theoretic tools to quantify asymmetries in information flows between primary somatosensory area SI and the rest of the brain. Our analysis identified a pattern of coupling, leading from area SI to a source in the secondary somato-sensory area SII, thalamus, and motor cortex all contralateral to stimuli as well as to a source in the cerebellum ipsilateral to the stimuli. Our results support previously reported empirical evidence collected both in in vitro and in vivo, indicating critical areas of activation of the somatosensory system at the level of systems neuroscience

Decoding covert somatosensory attention by a BCI system calibrated with tactile sensation

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Objective: We propose a novel calibration strategy to facilitate the decoding of covert somatosensory attention by exploring the oscillatory dynamics induced by tactile sensation. Methods: It was hypothesized that the similarity of the oscillatory pattern between stimulation sensation (SS, real sensation) and somatosensory attentional orientation (SAO) provides a way to decode covert somatic attention. Subjects were instructed to sense the tactile stimulation, which was applied to the left (SS-L) or the right (SS-R) wrist. The BCI system was calibrated with the sensation data and then applied for online SAO decoding. Results: Both SS and SAO showed oscillatory activation concentrated on the contralateral somatosensory hemisphere. Offline analysis showed that the proposed calibration method led to greater accuracy than the traditional calibration method based on SAO only. This is confirmed by online experiments, where the online accuracy on 15 subjects was 78.8±13.1%, with 12 subjects >70% and 4 subject >90%. Conclusion: By integrating the stimulus-induced oscillatory dynamics from sensory cortex, covert somatosensory attention can be reliably decoded by a BCI system calibrated with tactile sensation. Significance: Indeed, real tactile sensation is more consistent during calibration than SAO. This brain-computer interfacing approach may find application for stroke and completely locked-in patients with preserved somatic sensation.University Starter Grant of the University of Waterloo (No. 203859) National Natural Science Foundation of China (Grant No. 51620105002

Performance of Brain-Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery

© 2017 IEEE.Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.A large proportion of users do not achieve adequate control using current non-invasive Brain-computer Interfaces (BCI). This issue has being coined “BCI-Illiteracy”, and is observed among BCI modalities. Here, we compare the performance and BCI-illiteracy rate of tactile selective sensation (SS) and motor imagery (MI) BCI, for large subject samples. We analyzed 80 experimental sessions from 57 subjects with two-class SS protocols. For SS, the group average performance was 79.8±10.6%, with 43 out of the 57 subjects (75.4%) exceeding the 70% BCI-illiteracy threshold for left and right hand SS discrimination. When compared to previous results, this tactile BCI outperformed all other tactile BCIs currently available. We also analyzed 63 experiment sessions from 43 subjects with two-class MI BCI protocols, where the group average performance was 77.2±13.3%, with 69.7% of the subjects exceeded the 70% performance threshold for left and right hand MI. For within-subject comparison, the 24 subjects who participated to both the SS and MI experiments, the BCI performance was superior with SS than MI especially in beta frequency band (p<0.05), with enhanced R2 discriminative information in the somatosensory cortex for the SS modality. Both SS and MI showed a functional dissociation between lower alpha ([8 10] Hz) and upper alpha ([10 13] Hz) bands, with BCI performance significantly better in the upper alpha than the lower alpha (p<0.05) band. In summary, we demonstrated that SS is a promising BCI modality with low BCI illiteracy issue, and has great potential in practical applications reaching large population.University Starter Grant of the University of Waterloo [No. 203859]National Natural Science Foundation of China [Grant No. 51620105002

Distinct Features of Auditory Steady-State Responses as Compared to Transient Event-Related Potentials

published_or_final_versio

Mechanosensitivity and Neural Adaptation in Human Somatosensory System

Magnetoencephalography (MEG) was utilized to characterize the adaptation in the somatosensory cortical network due to repeated cutaneous tactile stimulation applied unilaterally on the face and hand using a custom-built pneumatic stimulator called the TAC-Cell. Face stimulation invoked neuromagnetic responses reflecting cortical activity in the contralateral primary somatosensory cortex (SI), while hand stimulation resulted in robust contralateral SI and posterior parietal cortex (PPC) activation. There was also activity observed in regions of the secondary somatosensory cortical areas (SII), although with a reduced amplitude and higher variability across subjects. There was a significant difference in adaptation rates between SI, and higher-order sensory cortices like the PPC for hand stimulation. Adaptation was also significantly dependent on the stimulus frequency and pulse index number within the stimulus train for both hand and face stimulation. The latency of the peak responses was significantly dependent on stimulus site and response component (SI, PPC). The difference in the latency of peak SI and PPC responses can be reflective of a hierarchical serial-processing network in the somatosensory cortex. Age- and sex-related changes of vibrotactile sensitivity in the orofacial and hand skin surfaces of healthy adults was demonstrated using an established psychophysical protocol. Vibrotactile threshold sensitivity increased as a function of age for finger stimulation, but remained unaltered for the face. Increase in the finger threshold sensitivity is due to age-related changes in the number and morphology of Pacinian corpuscles (absent in the face). Vibrotactile threshold sensitivity is significantly dependent on stimulation site, stimulus frequency, and sex of the participant. These differences are presumably due to dissimilarities in the type and density of mechanoreceptors present in the face and hand. A novel-method was developed to couple the use of fiber-optic displacement sensors with the pneumatic stimulator built in our laboratory called the TAC-Cell. This displacement sensor which is commonly used in industrial applications was successfully utilized to characterize the skin response to TAC-Cell stimulation. Skin displacement was significantly dependent on input stimulus amplitudes and varied as a function of the participants' sex. Power spectrum analysis and rise-fall time measurement of the skin-displacement showed that the TAC-Cell stimulus consists of a spectrally rich, high velocity signal that is capable of evoking a cortical response due to stimulation of the medial-lemniscus and trigeminal pathways

Event-related potential studies of somatosensory detection and discrimination.

This thesis contains four studies, the first examining methodology issues and four subsequent ones examining somatosensory cortical processing using event-related potentials (ERPs). The methodology section consists of 2 experiments. The first compared the latency variability in stimulus presentation between 3 computers. The second monitored the applied force of the vibration stimuli under experimental conditions to ensure that the chosen method for somatosensory stimulus presentation was consistent and reliable. The next study involved 3 experiments that aimed to characterize the mid to long latency somatosensory event-related potentials to different duration vibratory stimuli using both intracranial and scalp recording. The results revealed differences in the waveform morphology of the responses to and on-off responses, which had not previously been noted in the somatosensory system. The third and fourth studies each consisted of 2 experiments. These examined the discrimination between vibratory stimuli using an odd-ball paradigm to try to obtain a possible 'mismatch' response, similar to that reported in the auditory system. The aim of this study was to clarify some of the discrepancies in the literature surrounding the somatosensory mismatch response and to further characterize this response. The results from intracranial and scalp ERP recordings showed a two-component, negative-positive mismatch response over the anterior parietal region and a negative component over the superior pre-frontal region in response to changes in both frequency and duration. The negative component over the frontal region had never before been described. The last study explored possible interactions between somatosensory and auditory cortical potentials in response to spatially and temporally synchronized auditory and vibratory stimuli. The results showed clear interactions in the cortical responses to combined auditory and somatosensory stimuli in both standard and mismatch conditions