{"title":"A Recording System for the Study of Tinnitus Through Auditory Evoked Potentials","authors":"M. Choudhury, A. Barreto","doi":"10.1109/CNE.2005.1419715","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419715","url":null,"abstract":"Tinnitus is a consciously experienced 'ringing' sensation in the auditory system, which occurs without the presence of an actual auditory stimulation. The study of tinnitus has resulted in a number of speculated mechanisms and suspected origins in the auditory pathway, however a definite model for this phenomenon has not been confirmed. In the majority of cases, external acoustic stimulation masks the tinnitus sensation and the offset of tinnitus is preceded by the complete withdrawal of acoustic stimulus. This paper describes a research effort to study the neurological expressions of tinnitus by analyzing auditory evoked potentials (AEP). The signals constituting the evoked response are many times smaller than the surrounding EEG signals. The paper describes the methodology and the instrument design to overcome this problem. The study concentrates in the analysis of AEP signals during silence, as well as the transitional nature of the AEP in order to identify possible EEG correlates of tinnitus","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"136 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":"124600228","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}
Yadong Wang, N. Ahmar, Juanjuan Xiang, Ling Ma, D. Poeppel, J. Simon
{"title":"Complex Valued Equivalent-Current Dipole Fits for MEG Responses","authors":"Yadong Wang, N. Ahmar, Juanjuan Xiang, Ling Ma, D. Poeppel, J. Simon","doi":"10.1109/CNE.2005.1419610","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419610","url":null,"abstract":"Complex numbers appear naturally in biological systems in the context of the Fourier transform. In particular, physiological magnetic field data from whole head magnetoencephalography (MEG) is complex after a Fourier transform. The whole-head MEG steady state response (SSR) to a stationary modulated stimulus results in a complex magnetic field for each MEG channel, from the frequency corresponding to that of the stimulus modulation. This complex data set is used to estimate the neural current sources generating the magnetic field, naturally leading to complex current sources. We show that standard inverse methods of estimating the current sources, such as the single equivalent-current dipole, generalize to complex sources in a useful and straightforward manner. The usage and utility of the complex magnetic field and the complex neural current source are demonstrated using examples from auditory SSR experiments","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":"126797052","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}
J. Destro-Filho, J. Alves-Ribeiro, C. Batista-Alves, D. Roman-Campos, A. Ide, S. Blesić, N. Peixoto
{"title":"High-Order Correlations of Neuronal Spontaneous Activity Signals","authors":"J. Destro-Filho, J. Alves-Ribeiro, C. Batista-Alves, D. Roman-Campos, A. Ide, S. Blesić, N. Peixoto","doi":"10.1109/CNE.2005.1419627","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419627","url":null,"abstract":"A statistical characterization of spontaneous neuronal activity signals is presented. The first set of these signals results from in vivo measurements of action potentials of invertebrate neurons; the second set was recorded from cultured neurons based on a multielectrode-array (MEA) acquisition system. The correlations of second-, third- and fourth- statistical orders of these time series were estimated and compared to each other. Our experimental results provide the basis for considering the probability density function of spontaneous activity as nonGaussian, and we also conclude that most of signals associated with MEA electrodes present a high-order correlated behavior","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"25 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":"126313382","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":"Adulthood Adaptive Plasticity of the Barn-Owl Auditory Localization System","authors":"D. Schneider, A. Moiseff, D.O. Kim","doi":"10.1109/CNE.2005.1419693","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419693","url":null,"abstract":"Studies of the neural system mediating auditory localization in the barn owl provide insight as to how sensory information is processed across and within multiple brain structures. The current study investigates the ability of the adult barn owl to adapt its auditory orienting behavior in reaction to imposed displacement of its vision. The specific aim is to test the hypothesis that adulthood plasticity that compensates for the discordance between vision and audition is enhanced when the owl engages in active prey capture - a behavior that makes use of combined auditory and visual information. Our observation supports the hypothesis. Behavioral evidence of plasticity is interpreted using a computational model of the neural mechanisms associated with the adaptive response","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"12 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":"126506961","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}
Guoya Dong, Manling Ge, J. Zou, Shangkai Gao, Weili Yan
{"title":"Regional head conductivity estimation by the iterative sensitivity matrix method","authors":"Guoya Dong, Manling Ge, J. Zou, Shangkai Gao, Weili Yan","doi":"10.1109/CNE.2005.1419701","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419701","url":null,"abstract":"In this paper, an iterative sensitivity matrix method is proposed to estimate the regional head tissue conductivity. The analytical solution of the electrical impedance tomography (EIT) forward problem is derived for a 2-D concentric circular model. The estimation is verified by a 2-D concentric circular model with 3 layers and a 3-D spherical model with 4 layers, the convergence can be obtained with less iteration number and computational time","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"65 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":"131966460","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 New Design of the Asynchronous Brain Computer Interface Using the Knowledge of the Path of Features","authors":"A. Bashashati, R. Ward, G. Birch","doi":"10.1109/CNE.2005.1419563","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419563","url":null,"abstract":"The low-frequency asynchronous switch design (LF-ASD) was introduced as a direct brain computer interface (BCI) technology for asynchronous control applications. The LF-ASD has the advantage that it is operational at any time and not only at specific defined periods. It is activated only when a user intends control, otherwise it maintains an inactive state output. The intended control results from a certain movement attempt such as finger flexion. This paper presents the evaluation of a modified LF-ASD design with data collected from individuals with high-level spinal cord injuries and able-bodied subjects. The modifications are related to incorporating into the system more knowledge about the movement attempt. Specifically, the past values of the features extracted from the EEG signal related to the movement attempts are used. The error characteristics of this new asynchronous brain switch design are significantly better than the previous LF-ASD design, with true positive rate increases of approximately 8.5% for false positive rates in the range of 1-2%","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":"129970966","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":"Reorganization of Neural Activity in Cerebral Cortex during Adaptation to External Force Perturbations of Reaching Movement","authors":"X. Cai, Y. Shimansky, Jiping He","doi":"10.1109/CNE.2005.1419640","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419640","url":null,"abstract":"Knowledge of the properties of motor cortical neurons is crucial for solving the problem of developing a flexible and robust brain-computer interface (BCI). The results of chronic multielectrode recording from the primary motor cortical area of monkey brain during the animal's performance of a center-out 3D reaching task and adaptation to external force perturbation of the movement are described. Recruitment of new cells was observed in the dorsal premotor and primary motor cortex. This consisted of the gradual, day-to-day development of a directional tuning pattern (DTP) of spike activity. In many neurons an \"exploratory\" variation of DTP was observed. The intensity of variation gradually decreased by the end of adaptation, usually converging to a new pattern. The resulting DTP was retained for at least several days after perturbations were discontinued. The results suggest that the brain cortex can be viewed as a pool of functionally flexible processing elements that can be dynamically recruited into a system controlling the performance of a given motor task and individually adjusted as required for motor learning","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"66 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":"131200814","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":"Tracking of the Mu Rhythm using an Empirically Derived Matched Filter","authors":"D. Krusienski, G. Schalk, D. McFarland, J. Wolpaw","doi":"10.1109/CNE.2005.1419559","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419559","url":null,"abstract":"This paper introduces a method for improved detection and tracking of cortical mu rhythm modulation for the purpose of a brain-computer interface (BCI). The cortical mu rhythm found in the EEG is of particular interest in BCIs because it can be modulated through motor imagery and can be monitored via noninvasive techniques. With proper training, a disabled person can learn to control the mu rhythm to operate a communication device. This paper discusses the extraction of the empirical mu rhythm, proposes a synthetic model for the mu rhythm, and examines the effectiveness of the synthetic model as a matched filter on two-dimensional cursor control data recorded from a BCI","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"38 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":"132505452","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":"Activation detection on FMRI time series using hidden Markov model","authors":"Rong Duan, H. Man","doi":"10.1155/2012/190359","DOIUrl":"https://doi.org/10.1155/2012/190359","url":null,"abstract":"This paper introduces several unsupervised learning methods for analyzing functional magnetic resonance imaging (fMRI) data based on hidden Markov model (HMM). Unlike the conventional general linear model (GLM) method, which aims at modelling the blood oxygen level-depend (BOLD) response of a voxel as a function of time, HMM approach is focused on capturing the first order statistical evolution among the samples of a voxel time series. Therefore this approach can provide a complimentary perspective of the BOLD signals. For each voxel, a two-state HMM is created, and the model parameters are estimated from the voxel time series and the stimulus paradigm. No training data is needed. Two different methods are presented in this paper. One is based on the likelihood and likelihood ratio test, and the other is based on distance measures between the two state distributions. Experimental results are presented to validate the effectiveness of our approach","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"122 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":"127647542","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":"Detection of Event-Related Spectral Changes in Electrocorticograms","authors":"J. Fessler, S. Chun, J. Huggins, S. P. Levine","doi":"10.1109/CNE.2005.1419609","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419609","url":null,"abstract":"The University of Michigan Direct Brain Interface (UM-DBI) project seeks to detect voluntarily produced electrocortical activity (ECoG) related to actual or imagined movements in humans as the basis for a DBI. In past work we have used cross-correlation based template matching (CCTM) as the method for detecting event-related potentials (ERPs). That approach ignores event-related spectral changes in the ECoG signal. This paper discusses model-based signal detection methods that exploit event-related spectral changes. In particular we propose a quadratic detector based on a two-class hypothesis test with different covariances for the two classes. The covariance matrices are generated by fitting autoregressive (AR) models to training data. Preliminary results show that the quadratic detector yields more channels with good detection performance than the CCTM method, particularly when we impose constraints on detection delay","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"6 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":"127841432","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}