{"title":"Cerebral Hemodynamics Assessed by means of Transcranial Doppler and Near - Infrared Spectroscopy in Healthy Smokers and non-Smokers","authors":"F. Molinari, W. Liboni, G. Grippi, E. Negri","doi":"10.1109/CNE.2005.1419540","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419540","url":null,"abstract":"The assessment of cerebral vasomotor reactivity (VMR) is a valuable tool for the early detection of risk condition in healthy subjects and for the non-invasive bedside evaluation of patients. Typically, cerebral hemodynamics assessment is performed in correspondence of CO2 reactivity. We studied the VMR of a population of young healthy non-smokers (n=10, age 27 plusmn 4.1) and healthy smokers (n=4, age 28 plusmn 4.5) using a joint approach based on transcranial Doppler ultrasonography and near-infrared spectroscopy, to monitor cerebral blood flow velocity (CBFV) and concentrations of oxygenated (O2Hb) and reduced (CO2Hb) haemoglobin. VMR was induced by means of voluntary breath-holding (BH). We quantified VMR using the breath-holding index (BHI). Smokers BH duration was significantly lower than that of non-smokers (p < 10-4; their BHI did not significantly differ from that of non-smokers in terms of CBFV, but differed in terms of O2Hb and CO2Hb concentrations changes. Specifically, with respect to non-smokers, smokers presented a delayed VMR that took place only around 60% of the apnoea phase. This delayed response could reveal an impaired autoregulatory mechanism and could be a risk condition when the subjects need to compensate an abrupt change in the cerebral blood flow","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127719366","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":"Cortical recording with silicon microelectrodes: model-based analysis of contact dimension and encapsulation changes on recorded waveforms","authors":"M. Moffitt, C. McIntyre","doi":"10.1109/CNE.2005.1419575","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419575","url":null,"abstract":"Brain machine interfaces represent an emerging area of neurotechnology with both basic science and clinical applications. We developed a model of intracortical microelectrode recording to address the role of contact dimensions, tissue encapsulation, and neuron position on the time course and amplitude of the voltage records. We used a multi-compartment cable model of a 3D reconstruction of a layer V cortical pyramidal neuron to determine transmembrane currents generated during action potential signaling. We coupled the neuron model to finite element models (FEM) of microelectrodes in a cortical tissue medium. The neuronal currents were applied to the FEM and the voltage record at the contact was determined as a function of time. Our results show that the recorded waveform is relatively independent of typical contact sizes (<1000 mum2), but local inhomogeneities in the tissue medium can substantially enhance or suppress signal amplitude. Extensions of these analyses will enable development of silicon-substrate electrodes with optimized contact shape and distribution to achieve specific recording objectives","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125922105","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":"High Frequency Stimulation Suppresses Compound Action Potentials In Vitro","authors":"A. Jensen, D. Durand","doi":"10.1109/CNE.2005.1419555","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419555","url":null,"abstract":"Deep brain stimulation (DBS), also known as high frequency stimulation (HFS), is a promising method for the therapeutic control of epilepsy; although, the way DBS affects neural elements close to the stimulating electrode remains an important question. Sinusoidal HFS (50 Hz) suppresses synaptic and non-synaptic cellular neural activity in several in vitro epilepsy models. Although, the effects of HFS on axonal conduction are not known. In the present study, we tested the hypothesis that HFS suppresses local axonal conduction in vitro. HFS was locally applied to either the CA1 pyramidale cell layer or the alvear axon field of rat hippocampal slices. Complete suppression was indicated by a 100% reduction in amplitude of the field potential for the duration of the HFS. The results show that sinusoidal HFS suppresses the alvear compound action potential (CAP) as well as the CA1 antidromic evoked potential (AEP). Suppression was dependent on HFS amplitude, while HFS frequency was found not to be statistically significant. HFS applied to the alveus was more effective in suppressing the CAP than HFS applied to the CA1 pyramidale cell layer. These data suggest that HFS can block not only cellular neural firing but also activity in the axons of these cells or axons of passage","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124270074","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":"MEG Adaptive Noise Suppression using Fast LMS","authors":"N. Ahmar, J. Simon","doi":"10.1109/CNE.2005.1419543","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419543","url":null,"abstract":"Magnetoencephalography (MEG) measures magnetic fields generated by electric currents in the brain, non-invasively and with millisecond temporal resolution. Typical signals are 10-13 T, so noise contamination due to external magnetic fields is a serious concern. Digital signal processing is typically required in addition to magnetic shielding. Using three reference channels, displaced from the head, to measure the noise, we apply adaptive filtering to subtract out estimates of the noise, via the block least-mean-square (\"fast LMS\") method. The algorithm is tested by its effects on the number and distribution of channels which have statistically significant signals (distinguishable from background noise at a specified false-positive rate). We show that fast LMS both increases the number significant channels and reduces the variance of false positives","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123521010","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":"A Wavelet(MZ-DWT) Based Action Potential Detector at Low Signal-to-Noise Ratios","authors":"Dohoon Kim, J. Choi, Taejeong Kim","doi":"10.1109/CNE.2005.1419617","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419617","url":null,"abstract":"High background noise of action potentials in extracellular recordings has been one of the major obstacles to reliable detection of action potentials. In this paper, we propose a novel detection algorithm aimed at high background noise environments using multi-scale product and multi-resolution analysis. A new detector provides considerable improvements on real data","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123749721","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":"Encoding of Tactile Responses in the Periphery of the Somatosensory System","authors":"S. Leiser, K. Moxon","doi":"10.1109/CNE.2005.1419558","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419558","url":null,"abstract":"Biomimetics, or neuromimetics in particular, have held out the promise that by studying the nervous system we could discern optimal design strategies and parameters to develop better artificial devices. However, when studying natural systems it has proved difficult to abstract useful design strategies. One reason for this difficulty is the poor techniques for studying neural systems during natural behaviors. We developed a novel technique for studying cells in the trigeminal ganglion whose nerve terminals lie in the follicles surrounding the whiskers on the rats face and transduce tactile stimulation to electrical impulses for subsequent processing by the central nervous system. The goals of this work were to 1) determine if the passive response properties of these cells are used by the animal during natural exploration and 2) evaluate how these cells encode complex stimuli. We developed a novel method for chronically recording from these peripheral nerve cells and determined that 1) the passive response properties are used by these primary cells to encode sensory information during natural exploration and 2) while each cell has a narrow range of parameters that it responds to, the rat employs complex behavioral movements of the whiskers and head to optimize the probability of exciting these cells. As a population then, these cells convey complex features of their environment and the CNS uses precise spike timing to decode the information","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"378 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122478510","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}
E. Perreault, D. Westwick, E. Pohlmeyer, S. Solla, L. Miller
{"title":"Optimal Input Selection for MISO Systems Identification: Applications to BMIs","authors":"E. Perreault, D. Westwick, E. Pohlmeyer, S. Solla, L. Miller","doi":"10.1109/CNE.2005.1419581","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419581","url":null,"abstract":"We have developed an algorithm for selecting an optimal set of inputs for use in linear multiple-input, single-output system identification processes. The algorithm provides a decomposition of the system output such that each component is uniquely attributable to a specific input This reduces the complexity of the estimation problem by optimally selecting inputs according to the uniqueness of their output contribution and is useful in when subsets of the inputs are highly correlated or do not contribute significantly to the system output. The algorithm was evaluated on experimental data consisting of up to 40 simultaneously recorded motor cortical signals and peripheral electromyograms (EMGs) from four upper limb muscles in a freely moving primate. It was used to select the optimal motor cortical signals for predicting each of the EMGs and significantly reduced the number of inputs needed to generate accurate EMG predictions. For example, although physiological recordings from up to 40 different neuronal signals were available, the input selection algorithm reduced this 10 neuronal signals that made significant contributions to the recorded EMGs","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131467820","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":"An investigation of inner light during Zen meditation using alpha-suppressed EEG and VEP","authors":"Kang-Ming Chang, Chuan-Yi Liu, Pei-Chen Lo","doi":"10.1109/CNE.2005.1419710","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419710","url":null,"abstract":"Sensitivity to light is a common experience during prayer or Zen meditation, in both western and eastern cultures. Higher levels of happiness and lower health insurance costs are typical for those who experience inner light. In this report, the connection between the experience of inner light and Zen meditation is investigated by using EEG and flash visual evoked potential (F-VEP) recorded from the occipital site Oz. EEG results indicate that the experience of inner light during Zen meditation by experienced practitioners is also accompanied by a large amount of alpha-suppressed EEG. The F-VEP data also reflect shorter latency, and indicates a stronger and more sensitive visual response during Zen meditation. These data are also the typical physiological responses when the eyes are open during a rested conscious state, and thus provide a possible closer connection between Zen meditation and the sensitivity of inner light","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114993790","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":"Neural Network Controller for an Upper Extremity Neuroprosthesis","authors":"J. G. Hincapie, D. Blana, E. Chadwick, R. Kirsch","doi":"10.1109/CNE.2005.1419641","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419641","url":null,"abstract":"The long term goal of this project is to develop a controller for an upper extremity neuroprosthesis targeted for people with C5/C6 spinal cord injury (SCI). The challenge is to determine how to simultaneously stimulate different paralyzed muscles based on the EMG activity of muscles under retained voluntary control. The proposed controller extracts information from the recorded EMG signals and processes this information to generate the appropriate stimulation levels to activate the paralyzed muscles. The goal of this project was to design and evaluate this controller using a dynamic, three-dimensional musculoskeletal model of the arm. Different arm movements were recorded from able bodied subjects and these kinematics served as input to the model. The model was modified to reflect C5/C6 SCI, and inverse simulations were run to provide muscle activation patterns corresponding to the movements recorded. A set of \"voluntary\" and \"paralyzed\" muscles was selected for the controller based on each muscle's relevance as suggested by the simulations. Activation patterns were then used to train a dynamic neural network that predicts \"paralyzed\" muscle activations from \"voluntary\" muscle activations. The neural network controller was able to predict the activation level of three paralyzed muscles with less than 2% average prediction error, using four input muscles as inputs","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129580151","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":"Spontaneous bursts are better indicators of tetanus-induced plasticity than responses to probe stimuli","authors":"Radhika Madhavan, Zenas C. Chao, Steve M. Potter","doi":"10.1109/CNE.2005.1419652","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419652","url":null,"abstract":"We culture dissociated mouse cortical neurons in a dense monolayer on multi-electrode arrays, which allow us to stimulate and record from thousands of neurons. Tetanization has been widely used in the study of long-term plasticity. Stimulus-evoked responses constantly change (drift), which makes it difficult to observe the changes caused by the plasticity inducing tetanic stimulation. The most robust pattern of activity in these cultures is spontaneous culture-wide bursting. We studied the effect of tetanization on the properties of spontaneous bursts. We show that the burst-based quantity, spatial extent, does not drift and shows significant change after tetanization. Thus, a burst-based quantity might be a more robust method to study long-term plasticity compared to stimulus-evoked responses","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129986776","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}