Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146626
P. Kasi, I. Birznieks, A. V. Schaik
In daily activities, humans manipulate objects and do so with great precision. Empirical studies have demonstrated that signals encoded by mechanoreceptors facilitate the precise object manipulation in humans, however, little is known about the underlying mechanisms. Current models range from complex- they account for skin tissue properties-to simple regression fit. These models do not describe the dynamics of neural data well. Because experimental neural data is limited to spike instances, they can be viewed as point processes. We discuss the point process framework and use it to simulate neural data possessing behaviors similar to experimental neural data. The characteristics of neural data were identified via visualization and descriptive statistics based on the experimental data. Then we fit candidate models to the simulated data and perform goodness-of fit to assess how well the models perform. This type of analysis facilitates the mapping of neural data to stimulus. Given this mapping, we can generate a population of spike trains, and infer from them in order to recover the applied stimulus. The knowledge acquired may provide insight into some fundamental sensory mechanisms that are responsible for coordinating force components during object manipulation. We envisage that the knowledge may guide the design of sensorycontrolled biomedical devices and robotic manipulators.
{"title":"A point process approach to encode tactile afferents","authors":"P. Kasi, I. Birznieks, A. V. Schaik","doi":"10.1109/NER.2015.7146626","DOIUrl":"https://doi.org/10.1109/NER.2015.7146626","url":null,"abstract":"In daily activities, humans manipulate objects and do so with great precision. Empirical studies have demonstrated that signals encoded by mechanoreceptors facilitate the precise object manipulation in humans, however, little is known about the underlying mechanisms. Current models range from complex- they account for skin tissue properties-to simple regression fit. These models do not describe the dynamics of neural data well. Because experimental neural data is limited to spike instances, they can be viewed as point processes. We discuss the point process framework and use it to simulate neural data possessing behaviors similar to experimental neural data. The characteristics of neural data were identified via visualization and descriptive statistics based on the experimental data. Then we fit candidate models to the simulated data and perform goodness-of fit to assess how well the models perform. This type of analysis facilitates the mapping of neural data to stimulus. Given this mapping, we can generate a population of spike trains, and infer from them in order to recover the applied stimulus. The knowledge acquired may provide insight into some fundamental sensory mechanisms that are responsible for coordinating force components during object manipulation. We envisage that the knowledge may guide the design of sensorycontrolled biomedical devices and robotic manipulators.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130405407","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146796
Y. Tu, Y. Hung, Li Hu, Zhiguo Zhang
Dimension reduction is critical in identifying a small set of discriminative features that are predictive of behavior or cognition from high-dimensional neuroimaging data, such as EEG and fMRI. In the present study, we proposed a novel nonlinear supervised dimension reduction technique, named PCA-SIR (Principal Component Analysis and Sliced Inverse Regression), for analyzing high-dimensional EEG time-course data. Compared with conventional dimension reduction methods used for EEG, such as PCA and partial least-squares (PLS), the PCA-SIR method can make use of nonlinear relationship between class labels (i.e., behavioral or cognitive parameters) and predictors (i.e., EEG samples) to achieve the effective dimension reduction (e.d.r.) directions. We applied the new PCA-SIR method to predict the subjective pain perception (at a level ranging from 0 to 10) from single-trial laser-evoked EEG time courses. Experimental results on 96 subjects showed that reduced features by PCA-SIR can lead to significantly higher prediction accuracy than those by PCA and PLS. Therefore, PCA-SIR could be a promising supervised dimension reduction technique for multivariate pattern analysis of high-dimensional neuroimaging data.
{"title":"PCA-SIR: A new nonlinear supervised dimension reduction method with application to pain prediction from EEG","authors":"Y. Tu, Y. Hung, Li Hu, Zhiguo Zhang","doi":"10.1109/NER.2015.7146796","DOIUrl":"https://doi.org/10.1109/NER.2015.7146796","url":null,"abstract":"Dimension reduction is critical in identifying a small set of discriminative features that are predictive of behavior or cognition from high-dimensional neuroimaging data, such as EEG and fMRI. In the present study, we proposed a novel nonlinear supervised dimension reduction technique, named PCA-SIR (Principal Component Analysis and Sliced Inverse Regression), for analyzing high-dimensional EEG time-course data. Compared with conventional dimension reduction methods used for EEG, such as PCA and partial least-squares (PLS), the PCA-SIR method can make use of nonlinear relationship between class labels (i.e., behavioral or cognitive parameters) and predictors (i.e., EEG samples) to achieve the effective dimension reduction (e.d.r.) directions. We applied the new PCA-SIR method to predict the subjective pain perception (at a level ranging from 0 to 10) from single-trial laser-evoked EEG time courses. Experimental results on 96 subjects showed that reduced features by PCA-SIR can lead to significantly higher prediction accuracy than those by PCA and PLS. Therefore, PCA-SIR could be a promising supervised dimension reduction technique for multivariate pattern analysis of high-dimensional neuroimaging data.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121322210","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146572
R. Salazar-Varas, Á. Costa, A. Úbeda, E. Iáñez, J. Azorín
This work presents a study of the electroencephalographic (EEG) signals when an obstacle suddenly appears while a subject walks. The main goal is to evaluate how the brain activity changes due to the presence of an obstacle in order to apply this information in the control of a wearable robot to perform lower limb rehabilitation tasks. Different responses were evaluated and the results reveal the existence of a change in the EEG potential when an obstacle appears and the subject reacts immediately to it. The potential has a similar behavior to the early stage of the contingent negativity variation (CNV) which reflects the processing of a warning signal and the anticipation to the upcoming event.
{"title":"Changes in brain activity due to the sudden apparition of an obstacle during gait","authors":"R. Salazar-Varas, Á. Costa, A. Úbeda, E. Iáñez, J. Azorín","doi":"10.1109/NER.2015.7146572","DOIUrl":"https://doi.org/10.1109/NER.2015.7146572","url":null,"abstract":"This work presents a study of the electroencephalographic (EEG) signals when an obstacle suddenly appears while a subject walks. The main goal is to evaluate how the brain activity changes due to the presence of an obstacle in order to apply this information in the control of a wearable robot to perform lower limb rehabilitation tasks. Different responses were evaluated and the results reveal the existence of a change in the EEG potential when an obstacle appears and the subject reacts immediately to it. The potential has a similar behavior to the early stage of the contingent negativity variation (CNV) which reflects the processing of a warning signal and the anticipation to the upcoming event.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123015050","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146556
Heiko Scheel, Ren Xu, N. Jiang, N. Mrachacz‐Kersting, K. Dremstrup, D. Farina
Brain-Computer Interfacing is a promising approach to aid the rehabilitation process of patients suffering the consequences of neurological injuries. It has been shown in recent literature that a closed-loop setup utilizing the detection of movement-related cortical potentials (MRCP) to generate afferent feedback can efficiently help the stroke patients to regain or improve motor-abilities. The above study used the synchronized BCI paradigm, because the subject may not be able to perform the necessary motor tasks all by themselves. In synchronized BCI, a cue is presented to indicate the exact time for an imagination task that is used as a training session. It is not clear, whether or not the property of the presented cue has any influence on the resulting potentials, which is the subject of investigation in this work. The results suggest that different types of cues i.e. audio and visual, have a significant effect on the resulting MRCP. The MRCP from the auditory-based cue paradigm showed a significantly lager amplitude before Large Laplacian spatial filtering. Additionally, it was found that this typical filter might not be optimal for the auditory paradigm, as it significantly reduces the amplitude of the peaking activity of MRCP.
{"title":"Influence of external cues on synchronized Brain-Computer Interface based on movement related cortical potentials","authors":"Heiko Scheel, Ren Xu, N. Jiang, N. Mrachacz‐Kersting, K. Dremstrup, D. Farina","doi":"10.1109/NER.2015.7146556","DOIUrl":"https://doi.org/10.1109/NER.2015.7146556","url":null,"abstract":"Brain-Computer Interfacing is a promising approach to aid the rehabilitation process of patients suffering the consequences of neurological injuries. It has been shown in recent literature that a closed-loop setup utilizing the detection of movement-related cortical potentials (MRCP) to generate afferent feedback can efficiently help the stroke patients to regain or improve motor-abilities. The above study used the synchronized BCI paradigm, because the subject may not be able to perform the necessary motor tasks all by themselves. In synchronized BCI, a cue is presented to indicate the exact time for an imagination task that is used as a training session. It is not clear, whether or not the property of the presented cue has any influence on the resulting potentials, which is the subject of investigation in this work. The results suggest that different types of cues i.e. audio and visual, have a significant effect on the resulting MRCP. The MRCP from the auditory-based cue paradigm showed a significantly lager amplitude before Large Laplacian spatial filtering. Additionally, it was found that this typical filter might not be optimal for the auditory paradigm, as it significantly reduces the amplitude of the peaking activity of MRCP.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"123 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126269435","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146614
D. A. Vajari, J. Ordonez, L. Furlanetti, M. Döbrössy, V. Coenen, T. Stieglitz
Clinical trials have recently shown that Deep Brain Stimulation (DBS) can be applied to treat psychiatric disorders (e.g. Parkinson's disease, depression or obsessive compulsive disorders (OCD)). However, the underlying mechanisms of these disorders, as well as the influence of electrical stimulation remain not fully understood. We present a hybrid multimodal deep brain probe made out of a thin-film polyimide electrode and flexible silicone rubber substrate. The engineered combination of two technologies resulted in a device as flexible as commercial DBS probes, but including the benefits from thin-film technology such as higher contact density, high resolution in fabrication and capability of applying various coatings for specific applications. Preliminary studies showed that the concept of a hybrid probe is effective and promising. The prototyped samples were stressed mechanically on the basis of bending tests for implantable medical devices (EN 45502-2-3) in which, no failure was observed even after 150,000 bending cycles and storage in saline solution over 150 days. Usage of ceramic micro-adaptors allowed a stable mechanical decoupling between the wires and the thin-film device. Implementing biosensors into the deep brain probe, i.e. electrochemical sensors to monitor neurotransmitters, can be one of the possibilities provided by the proposed probe. High channel counts as well as feasibility to perform instantaneous monitoring of neurological event is distinguished as a key point towards addressing many unanswered questions, e.g. raveling the underlying neurocircuitry of psychiatric diseases, and hence, paving the way for more efficient treatment approaches.
{"title":"Hybrid multimodal Deep Brain probe (DBS array) for advanced brain research","authors":"D. A. Vajari, J. Ordonez, L. Furlanetti, M. Döbrössy, V. Coenen, T. Stieglitz","doi":"10.1109/NER.2015.7146614","DOIUrl":"https://doi.org/10.1109/NER.2015.7146614","url":null,"abstract":"Clinical trials have recently shown that Deep Brain Stimulation (DBS) can be applied to treat psychiatric disorders (e.g. Parkinson's disease, depression or obsessive compulsive disorders (OCD)). However, the underlying mechanisms of these disorders, as well as the influence of electrical stimulation remain not fully understood. We present a hybrid multimodal deep brain probe made out of a thin-film polyimide electrode and flexible silicone rubber substrate. The engineered combination of two technologies resulted in a device as flexible as commercial DBS probes, but including the benefits from thin-film technology such as higher contact density, high resolution in fabrication and capability of applying various coatings for specific applications. Preliminary studies showed that the concept of a hybrid probe is effective and promising. The prototyped samples were stressed mechanically on the basis of bending tests for implantable medical devices (EN 45502-2-3) in which, no failure was observed even after 150,000 bending cycles and storage in saline solution over 150 days. Usage of ceramic micro-adaptors allowed a stable mechanical decoupling between the wires and the thin-film device. Implementing biosensors into the deep brain probe, i.e. electrochemical sensors to monitor neurotransmitters, can be one of the possibilities provided by the proposed probe. High channel counts as well as feasibility to perform instantaneous monitoring of neurological event is distinguished as a key point towards addressing many unanswered questions, e.g. raveling the underlying neurocircuitry of psychiatric diseases, and hence, paving the way for more efficient treatment approaches.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126089076","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146622
Christophe B. Michel, B. Graham
Neuronal computation of information is metabolically expensive. In parallel to computation, activity-dependent modulation of neuronal excitability occurs to adapt neural responses and possibly optimize metabolic cost. In this study, we focus on the metabolic cost of electrophysiological activity during the modulatory effect of nitric oxide in the auditory brainstem. The model describes the glycolysis and mitochondrial activity, the main means of adenosine triphosphate synthesis, in response to electrophysiological stimulation of a neuron in the control case or in the presence of nitric oxide. The model permits the evaluation of adenosine triphosphate variation at different stages of the metabolic pathway, and shows that nitric oxide not only avoids transmission failures at high frequency stimulation but also decreases the metabolic cost of neuronal firing.
{"title":"Activity-dependent regulation decreases metabolic cost in the auditory brainstem","authors":"Christophe B. Michel, B. Graham","doi":"10.1109/NER.2015.7146622","DOIUrl":"https://doi.org/10.1109/NER.2015.7146622","url":null,"abstract":"Neuronal computation of information is metabolically expensive. In parallel to computation, activity-dependent modulation of neuronal excitability occurs to adapt neural responses and possibly optimize metabolic cost. In this study, we focus on the metabolic cost of electrophysiological activity during the modulatory effect of nitric oxide in the auditory brainstem. The model describes the glycolysis and mitochondrial activity, the main means of adenosine triphosphate synthesis, in response to electrophysiological stimulation of a neuron in the control case or in the presence of nitric oxide. The model permits the evaluation of adenosine triphosphate variation at different stages of the metabolic pathway, and shows that nitric oxide not only avoids transmission failures at high frequency stimulation but also decreases the metabolic cost of neuronal firing.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"28 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121047902","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146715
S. Zirn, S. Arndt, T. Wesarg
The human auditory periphery is a complex mechano-electrical system that transduces sound waves into nerve action potentials. In this sensory modality sound conduction to and frequency analysis in the cochlea produce frequency-dependent signal propagation delays. A cochlear implant (CI) is a neural prosthesis that replaces the peripheral auditory system partially by stimulating the auditory nerve electrically. This modality is in turn accompanied by artificial signal transmission delays. This study deals with the question how well the timing of neural excitation in these two modalities fit one another. For this purpose, we investigated wave V latencies of auditory brainstem responses evoked either acoustically (ABR) or electrically via the CI (EABR). The sum of delays consisting of CI signal processing and EABR wave V latencies allowed an estimation of the entire CI-channel-specific delay. We compared these values with ABR wave V latencies measured in normal hearing listeners in different frequency bands. As EABR wave V latencies were shorter than those evoked acoustically, appropriate values for delay elements (FIR group delays) in the CI system were determined and compared with the already implemented group delays. Optimized interaural stimulation timing in unilateral deaf subjects provided with a CI reduces the need for central auditory compensation and can improve speech recognition.
{"title":"Objective assessment of optimal group delays in cochlear implants","authors":"S. Zirn, S. Arndt, T. Wesarg","doi":"10.1109/NER.2015.7146715","DOIUrl":"https://doi.org/10.1109/NER.2015.7146715","url":null,"abstract":"The human auditory periphery is a complex mechano-electrical system that transduces sound waves into nerve action potentials. In this sensory modality sound conduction to and frequency analysis in the cochlea produce frequency-dependent signal propagation delays. A cochlear implant (CI) is a neural prosthesis that replaces the peripheral auditory system partially by stimulating the auditory nerve electrically. This modality is in turn accompanied by artificial signal transmission delays. This study deals with the question how well the timing of neural excitation in these two modalities fit one another. For this purpose, we investigated wave V latencies of auditory brainstem responses evoked either acoustically (ABR) or electrically via the CI (EABR). The sum of delays consisting of CI signal processing and EABR wave V latencies allowed an estimation of the entire CI-channel-specific delay. We compared these values with ABR wave V latencies measured in normal hearing listeners in different frequency bands. As EABR wave V latencies were shorter than those evoked acoustically, appropriate values for delay elements (FIR group delays) in the CI system were determined and compared with the already implemented group delays. Optimized interaural stimulation timing in unilateral deaf subjects provided with a CI reduces the need for central auditory compensation and can improve speech recognition.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116731630","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146759
S. Karamintziou, B. Piallat, S. Chabardès, M. Polosan, O. David, G. L. Tsirogiannis, N. Deligiannis, P. Stathis, G. Tagaris, E. Boviatsis, D. Sakas, Georgia E. Polychronaki, Konstantina S. Nikita
We present a novel closed-loop subthalamic nucleus (STN) deep brain stimulation (DBS) scheme for Parkinson's disease (PD) and obsessive-compulsive disorder (OCD). The algorithm is designed to effectuate real-time, adaptive stimulation employing the outcome of the 0-1 test for chaos as a state-specific biomarker. In case of a null outcome, the system identifies optimal patterns of stimulation desynchronizing pathologic neuronal activity with minimal energy consumption, on grounds of a stochastic dynamical model and an appropriately formulated cost function. Simulations are performed utilizing microelectrode recordings (MERs) acquired during 8 and 2 DBS surgical interventions for PD and OCD, respectively.
{"title":"Design of a novel closed-loop deep brain stimulation system for Parkinson's disease and obsessive-compulsive disorder","authors":"S. Karamintziou, B. Piallat, S. Chabardès, M. Polosan, O. David, G. L. Tsirogiannis, N. Deligiannis, P. Stathis, G. Tagaris, E. Boviatsis, D. Sakas, Georgia E. Polychronaki, Konstantina S. Nikita","doi":"10.1109/NER.2015.7146759","DOIUrl":"https://doi.org/10.1109/NER.2015.7146759","url":null,"abstract":"We present a novel closed-loop subthalamic nucleus (STN) deep brain stimulation (DBS) scheme for Parkinson's disease (PD) and obsessive-compulsive disorder (OCD). The algorithm is designed to effectuate real-time, adaptive stimulation employing the outcome of the 0-1 test for chaos as a state-specific biomarker. In case of a null outcome, the system identifies optimal patterns of stimulation desynchronizing pathologic neuronal activity with minimal energy consumption, on grounds of a stochastic dynamical model and an appropriately formulated cost function. Simulations are performed utilizing microelectrode recordings (MERs) acquired during 8 and 2 DBS surgical interventions for PD and OCD, respectively.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114282844","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146741
Naoki Wake, Y. Sano, R. Oya, M. Sumitani, S. Kumagaya, Y. Kuniyoshi
Amputees usually perceive vivid awareness of their lost body parts after the amputation (phantom limbs). Phantom limb pain (PLP) is intense pain that is felt in the phantom limb. The mechanism of PLP is still unclear, but the major hypothesis is that it is derived from dysfunction of the brain. There are a few neurorehabilitation techniques using a mirror or virtual reality (VR) that present the visual image of a phantom limb to the patients, and this produce the movement perception of their phantom limb. Here, we developed a multimodal (visual, auditory, and tactile) VR system to obtain the perception of voluntary phantom limb movements. We applied this system to five PLP patients for three tactile feedback conditions as a pilot study. In conclusion, four of the five patients reported pain amelioration, up to 86% decrease in the tactile feedback condition. In addition, our results demonstrated that the best suited condition of feedback-sense modalities depends on the patient. These results suggest that this system can be applied to a rehabilitation platform to offer flexible neurorehabilitation regimens for each patient.
{"title":"Multimodal virtual reality platform for the rehabilitation of phantom limb pain","authors":"Naoki Wake, Y. Sano, R. Oya, M. Sumitani, S. Kumagaya, Y. Kuniyoshi","doi":"10.1109/NER.2015.7146741","DOIUrl":"https://doi.org/10.1109/NER.2015.7146741","url":null,"abstract":"Amputees usually perceive vivid awareness of their lost body parts after the amputation (phantom limbs). Phantom limb pain (PLP) is intense pain that is felt in the phantom limb. The mechanism of PLP is still unclear, but the major hypothesis is that it is derived from dysfunction of the brain. There are a few neurorehabilitation techniques using a mirror or virtual reality (VR) that present the visual image of a phantom limb to the patients, and this produce the movement perception of their phantom limb. Here, we developed a multimodal (visual, auditory, and tactile) VR system to obtain the perception of voluntary phantom limb movements. We applied this system to five PLP patients for three tactile feedback conditions as a pilot study. In conclusion, four of the five patients reported pain amelioration, up to 86% decrease in the tactile feedback condition. In addition, our results demonstrated that the best suited condition of feedback-sense modalities depends on the patient. These results suggest that this system can be applied to a rehabilitation platform to offer flexible neurorehabilitation regimens for each patient.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122483395","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146807
Joana Festa, J. Soares, P. Marques, N. Santos, N. Sousa, N. Dias
This paper describes an fMRI study with 76 middle-aged and older subjects using the Wisconsin Card Sorting Task, widely utilized to investigate executive function and frontal lobe dysfunction. Several cognitive processes involved in the task are correlated with the cognitive decline observed due to aging. With functional imaging we demonstrate that subjects with a better performance show an increased activation in the frontal lobe and cingulate cortex, which are important regions for the processes involved in the task.
{"title":"Evaluating performance on older individuals using a fMRI protocol for Wisconsin Card Sorting Task","authors":"Joana Festa, J. Soares, P. Marques, N. Santos, N. Sousa, N. Dias","doi":"10.1109/NER.2015.7146807","DOIUrl":"https://doi.org/10.1109/NER.2015.7146807","url":null,"abstract":"This paper describes an fMRI study with 76 middle-aged and older subjects using the Wisconsin Card Sorting Task, widely utilized to investigate executive function and frontal lobe dysfunction. Several cognitive processes involved in the task are correlated with the cognitive decline observed due to aging. With functional imaging we demonstrate that subjects with a better performance show an increased activation in the frontal lobe and cingulate cortex, which are important regions for the processes involved in the task.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"15 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131452834","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}
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