{"title":"Computational model of the dorsal horn circuitry for innocuous touch","authors":"Anna Beltraminelli, Simone Romeni, S. Micera","doi":"10.1109/NER49283.2021.9441098","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441098","url":null,"abstract":"Providing a naturalistic tactile sensory feedback is currently one of the key challenges in neuroprosthetics. Modeling has played a fundamental role in the development of “biomimetic” stimulation protocols, determining optimal activation patterns to be elicited at the level of the nerve. Nonetheless, current technological limitations pose the challenge of estimating the influence of “errors” in matching natural activation on higher neural representations and on the elicited sensation quality. While in the past much attention has focused on the cuneate nucleus and on sensory cortices, the idea that processing starts as early as in the spinal cord dorsal horn circuitry has gained some success. Here, we propose modeling the dorsal horn light touch circuitry with a network of Izhikevich spiking point-neurons, built on the base of recent morphological and physiological analysis of interneuron populations. We propose two simple computational experiment suggesting that the dorsal horn should not be regarded as a simple relay hub. On the contrary, our model suggests that it may perform cortically modulated spatio-temporal integration of afferent signals, and sets the ground for more in-depth analysis of early somatosensory processing stages.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134294342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interferential Current Stimulation for Non-Invasive Somatotopic Sensory Feedback for Upper-Limb Prosthesis: Simulation Results using a Computable Human Phantom","authors":"L. Jabban, Dingguo Zhang, B. Metcalfe","doi":"10.1109/NER49283.2021.9441299","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441299","url":null,"abstract":"The addition of sensory feedback to upper-limb prostheses has been shown to improve several aspects of the user experience. In an attempt to create an intuitive sensory feedback method, transcutaneous electrical stimulation of the stump has been used to elicit referred sensation in the phantom hand by stimulating the underlying nerves. However, the sensation at the electrodes is always reported due to the stimulation of mechanoreceptors. This work investigates the use of interferential stimulation (the superposition of two kilohertz-frequency stimulation currents to form a low-frequency envelope stimulation waveform) to produce focused and selective stimulation that reduces the sensation at the electrodes. A computable human arm phantom model was used to analyse the electric fields created by interferential stimulation against those created by low-frequency stimulation. The results support the assumption that interferential stimulation could result in reduced sensation at the electrode. However, they did not show benefits in terms of penetration at the frequency range considered. In fact, the results suggest that slightly higher currents may be required.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133142582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Edward C. Szoka, Jesse C. Werth, Sunwoo Lee, Jae-Ik Lee, A. Cortese, T. A. Cleland, S. Fried, A. Molnar
{"title":"Neural Probe Utilizing Programmable Micro-coil Magnetic Stimulation","authors":"Edward C. Szoka, Jesse C. Werth, Sunwoo Lee, Jae-Ik Lee, A. Cortese, T. A. Cleland, S. Fried, A. Molnar","doi":"10.1109/NER49283.2021.9441227","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441227","url":null,"abstract":"Micro-coil based magnetic stimulation has been shown to be an effective form of neural modulation [1]. Microcoil devices have advantages over the more commonly used micro-electrodes due to the induced electric fields being spatially asymmetric, allowing for neuron orientation-based selectivity. Furthermore, the micro-coils do not require direct contact with biological tissue, allowing for complete encapsulation of the devices to maintain their stimulation efficiency over time and avoid electrochemical effects such as corrosion, hydrolysis, and other sources of damage to the tissue and probe. However, previous micro-coil based neural probes lack reconfigurable hardware causing their stimulation sites to be fixed post-insertion. The proposed stimulator integrates micro-coils, CMOS control circuitry, and additional nanofabrication processing to fabricate a neural probe with spatially programmable micro-coil based neurostimulation. In-vitro testing with mouse olfactory bulb slices was performed using a commercial MEA to record changes in neural spike behavior during micro-coil based neurostimulation.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134074543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Changes in interpulse spacing changes tactile perception of microstimulation in human somatosensory cortex","authors":"Christopher L. Hughes, R. Gaunt","doi":"10.1109/NER49283.2021.9441292","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441292","url":null,"abstract":"Stimulus frequency modulates percepts evoked by microstimulation in the somatosensory cortex. However, it is not known how the timing of individual pulses affects perception. Here, we stimulated through microelectrode arrays implanted in the somatosensory cortex of a human participant with a cervical spinal cord injury and measured the participant's ability to discriminate microstimulation trains with different frequencies. We also tested the participant's ability to discriminate trains with the same number of pulses but different interpulse spacings. We found that the participant could discriminate the full range of tested frequencies on half of tested electrodes. On electrodes in which the participant could discriminate frequencies, the performance was always better at the lower frequencies. Additionally, on half of tested electrodes, the participant was able to discriminate trains that had the same number of pulses but different interpulse spacings. Finally, we tested the point of subjective equivalence for a train with shifted interpulse spacings compared to a fixed frequency train. We found that increases in interpulse spacings with the same number of pulses resulted in a decrease in perceived frequency. These findings demonstrate that the interpulse spacings can modulate perception of microstimulation and suggests that the encoding of stimulus timing may be important for providing sensory feedback in a bidirectional BCI.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114505140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Howell, A. Waters, K. Choi, A. Veerakumar, Mosadoluwa Obatusin, H. Mayberg, C. McIntyre
{"title":"Connectomic Predictive Modeling Guides Selective Perturbation of Tracts in the Subcallosal Cingulate White Matter","authors":"B. Howell, A. Waters, K. Choi, A. Veerakumar, Mosadoluwa Obatusin, H. Mayberg, C. McIntyre","doi":"10.1109/NER49283.2021.9441379","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441379","url":null,"abstract":"Deep brain stimulation (DBS) of the subcallosal cingulate (SCC) is an emerging experimental therapy for treatment-resistant depression. Successful outcomes are critically dependent on placing the active contact within the confluence of white matter adjacent to the SCC using patient-specific connectomic guidance, but the relative contribution of each putative target fiber bundle to the clinical response is still unknown. This study's goal was to assess the feasibility of selective target activation of two candidate SCC targets, forceps minor and the cingulum bundle, using biophysical modeling to guide parameter selection in individual patients. We tested two complementary use cases, isolated (or preferential) activation of each target, and activation of the same targets as the clinical setting but with minimal theoretical battery depletion. One selective setting per fiber bundle and one energy-efficient settings per lead were selected from 774 settings, and cortical responses to model settings were evaluated with the left lead at 2 Hz using high-density EEG. Optimal settings differed by patient, hemisphere, and use case. Isolated activation of the left cingulum bundle generated an ipsilateral cortical response with peak activity near 16 ms, whereas preferential activation of forceps minor produced a relatively slower bilateral response in the frontal sensors. A key feature of concomitant target activation was a midline sweep from 40–90 ms. Efficient setting generated a topographically similar response as the monopolar clinical setting but with some differences in the spatial extent of frontal polar activity. The results demonstrate the feasibility of selective perturbation of SCC white matter with model-based guidance.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125269119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Domain Adaptation for Cross-Subject Emotion Recognition by Subject Clustering","authors":"Jin Liu, Xinke Shen, Sen Song, Dan Zhang","doi":"10.1109/NER49283.2021.9441368","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441368","url":null,"abstract":"The high inter-subject variability in emotional EEG activities has posed great challenges for practical EEG-based affective computing applications. The recently popular domain adaptation strategy seemed to be a promising technique for addressing this issue, by minimizing the discrepancy of EEG data from different subjects. The present study proposed and implemented an extended Domain Adaptation method by introducing Subject Clustering (DASC). By clustering subjects based on the similarity of their emotion-specific EEG activities, the DASC method could make a flexible use of the available source domain information towards an optimized target domain application. Using the publicly available EEG dataset of DEAP, the DASC method achieved an average accuracy of $73.9pm 13.5%$ and $68.8pm 11.2%$ for binary classifications of the high or low levels of valence and arousal. Comparison with the state-of-the-art performance as well as the ablation experiments suggest the proposed DASC method as an effective extension to the conventional domain adaptation methods for EEG-based emotion recognition.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134228516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Federica Ferraro, M. Trombini, R. Truffelli, Marina Simonini, S. Dellepiane
{"title":"On the Assessment of Unilateral Spatial Neglect via Digital Tests","authors":"Federica Ferraro, M. Trombini, R. Truffelli, Marina Simonini, S. Dellepiane","doi":"10.1109/NER49283.2021.9441471","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441471","url":null,"abstract":"Among the several disabling features following a stroke, the unilateral spatial neglect (USN) is one of the most frequently present in case of right-sided lesions. The standard assessment of such a pathology happens via tests that are usually performed on paper. However, a great interest toward digital solutions for USN is arising, in order to facilitate the activities of medical specialists. Furthermore, the recent outbreak of COVID-19 is stressing the importance of remote assistive tools which enable the continuity of care at patient's home. Indeed, connected technology allows for remote monitoring of patients by the clinical staff, hence enabling the definition of a personalized plan of care even after the de-hospitalization and in safe conditions. In addition, USN patients are among the so-called fragile subjects who, due to their condition, require continuous monitoring and rehabilitative therapeutic intervention, which can be granted by some ICT solution. The present work introduces the battery of tests for the assessment of USN which are included in the ReMoVES system. They are digital versions of standard tests that can be practiced via a touchscreen. The informative content that such activities deliver is wider and more comprehensive than the paper based versions. The experimental phase is described with respect to the well-known Albert's test, in a real-life scenario. The indicators that can be computed are here defined and described.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134544213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gaussian Mixture Modeling of Single-Neuron Responses Obtained from Confocal-Calcium-Imaging of Dissociated Rat Hippocampal Neurons","authors":"Vaibhav Dhyani, S. Jana, L. Giri","doi":"10.1109/NER49283.2021.9441102","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441102","url":null,"abstract":"Advances in microscopy enable monitoring a broad spectrum of heterogeneity in calcium (Ca2+)-spike train in dissociated cultures at a higher-resolution. The resulting dataset requires reproducible analytics that is robust, automated, and scalable to large datasets. Here, we present the monitoring of Ca2+ -activity in rat hippocampal-neurons using spinning-disk confocal microscopy. Moreover, we propose a clustering framework based on Gaussian mixture modeling (GMM) that can be used for the identification of functional subgroups. Specifically, we propose an approach for validation of the clusters through fitting appropriate probability density function to the spiking train with minimum Akaike information criterion (AIC). Here we show that a dataset of 118 neurons obtained from 1–2 day old mice pup can be grouped in 6 clusters. We demonstrate that the proposed approach can be used to isolate the dormant cells and active cells of various types with limited user intervention. The proposed pipeline for analysis can be used for the grouping of neurons that follow a similar distribution of activated states.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117174371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does Inter-Stimulus Distance Influence the Decoding Performance of SSVEP and SSMVEP BCI?","authors":"Yuanpei Gao, Aravind Ravi, N. Jiang","doi":"10.1109/NER49283.2021.9441069","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441069","url":null,"abstract":"Brain-computer interfaces (BCIs) based on steady-state visually evoked potentials (SSVEP) are considered as one of the most successful noninvasive BCI paradigms. Recently, an evolution of SSVEP was introduced with repetitive motion as visual stimuli instead of the conventional flickering stimuli. This novel paradigm is steady-state motion visually evoked potential (SSMVEP), and it has been proposed to address some inherent limitations of the flickering stimulus. One important factor that affects the decoding performance of BCIs based on repetitive visual stimulus is the change in inter-stimulus distance (ISD) or competing stimuli. In this study, a preliminary analysis was performed to compare the influence of change in ISD on the decoding performance of SSVEP and SSMVEP paradigms. The experiments were performed on thirteen healthy participants in which two visual stimulus types: flickering stimuli and checkerboards stimuli, were presented. Three different ISDs were studied. The decoding performance was quantified by the canonical correlation analysis (CCA) on O1, O2, and Oz channels. With 1-second window length, the average decoding accuracy across all ISDs was 75% for the SSVEP stimulus and 83.6% for the SSMVEP stimulus, respectively, and the corresponding average variation across ISDs was 0.13 and 0.03. The results demonstrated striking robustness of SSMVEP against competing stimuli while maintaining an overall superior accuracy to that of the conventional SSVEP.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115998870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Training the bladder how to void: A noninvasive spinal neuromodulation case study","authors":"P. Gad, E. Kreydin, H. Zhong, V. Edgerton","doi":"10.1109/NER49283.2021.9441463","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441463","url":null,"abstract":"Spinal cord injury results in neurogenic lower urinary tract dysfunction (NLUTD) leading to reduced bladder capacity, loss of bladder sensation and inability to initiate bladder voiding. Transcutaneous Electrical Spinal Cord Neuromodulation (TESCoN) was developed to activate and retrain the spinal circuits to enable function. In this pilot study, we developed a novel method to retrain the bladder by externally filling and voluntarily emptying the bladder with saline in the presence of TESCoN. We successfully demonstrated the use of TESCoN in improving bladder capacity, regaining sensation and enabling voluntary voiding with increased voiding efficiency in an individual with complete chronic paralysis.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116989019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}