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Event-related potentials

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https://www.readbyqxmd.com/read/28227847/a-compact-representation-for-the-auditory-full-range-response-and-its-fast-denoising-using-an-image-filter-based-on-the-radon-transform
#1
Manuel C Kohl, Daniel J Strauss, Manuel C Kohl, Daniel J Strauss, Daniel J Strauss, Manuel C Kohl
The Auditory Brainstem, Middle-Latency and Late Responses, a class of event-related potentials (ERPs), are of considerable interest in neuroscience research as robust neural correlates of different processing stages along the auditory pathway. While most research to date centers around one of the responses at a time for practical reasons, recent efforts indicate a paradigm shift towards acquiring them together, enabling the simultaneous monitoring of all auditory processing stages from the brainstem to the cortex...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227841/comparing-eeg-its-time-derivative-and-their-joint-use-as-features-in-a-bci-for-2-d-pointer-control
#2
Dimitrios Andreou, Riccardo Poli, Dimitrios Andreou, Riccardo Poli, Riccardo Poli, Dimitrios Andreou
Efficient and accurate classification of event related potentials is a core task in brain-computer interfaces (BCI). This is normally obtained by first extracting features from the voltage amplitudes recorded via EEG at different channels and then feeding them into a classifier. In this paper we evaluate the relative benefits of using the first order temporal derivatives of the EEG signals, not the EEG signals themselves, as inputs to the BCI: an area that has not been thoroughly examined. Specifically, we compare the classification performance of features extracted from the first derivative, with those derived from the amplitude, as well as their combination using data from a P300-based BCI mouse...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227803/ear-eeg-allows-extraction-of-neural-responses-in-challenging-listening-scenarios-a-future-technology-for-hearing-aids
#3
L Fiedler, J Obleser, T Lunner, C Graversen, L Fiedler, J Obleser, T Lunner, C Graversen, J Obleser, C Graversen, L Fiedler, T Lunner
Advances in brain-computer interface research have recently empowered the development of wearable sensors to record mobile electroencephalography (EEG) as an unobtrusive and easy-to-use alternative to conventional scalp EEG. One such mobile solution is to record EEG from the ear canal, which has been validated for auditory steady state responses and discrete event related potentials (ERPs). However, it is still under discussion where to place recording and reference electrodes to capture best responses to auditory stimuli...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227801/reference-configurations-for-ear-eeg-steady-state-responses
#4
Simon L Kappel, Christian B Christensen, Kaare B Mikkelsen, Preben Kidmose, Simon L Kappel, Christian B Christensen, Kaare B Mikkelsen, Preben Kidmose, Kaare B Mikkelsen, Preben Kidmose, Christian B Christensen, Simon L Kappel
Ear-EEG is a non-invasive EEG recording method, where EEG is recorded from electrodes placed in the ear. Ear-EEG could be implemented into hearing aids, and provide neurofeedback for e.g. objective hearing assessment through measurements of the auditory steady-state response. In cases where the objective is to measure a specific feature of an event-related potential, there will be a subject specific optimal reference configuration. This work presents a method for optimizing the reference configuration for steady-state type potentials...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227554/cortical-excitability-effects-of-stimulation-intensity-change-speed-during-nmes
#5
Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shuang Liu, Shenglong Jiang, Zhonapeng Wang, Dong Ming, Feng He, Qi Hongzhi, Weibo Yi
Rehabilitation method of motor dysfunction is a challenging issue of neural rehabilitation. Neuromuscular electrical stimulation (NMES) has been frequently used in rehabilitation therapy to improve neural recovery such as stroke and spinal cord injury. Stimulus, acting on sensorimotor neural system components, resulted in the increased cortical excitability which accompanied with motor performance improvement. Stimulus information conveyed by sensory system included below four elementary attributes: modality, location, intensity, and timing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227524/a-feasibility-study-of-using-event-related-potential-as-a-biometrics
#6
Yih-Choung Yu, Sicheng Wang, Lisa A Gabel, Yih-Choung Yu, Sicheng Wang, Lisa A Gabel, Lisa A Gabel, Yih-Choung Yu, Sicheng Wang
The use of an individual's neural response to stimuli (the event-related potential or ERP) has potential as a biometric because it is highly resistant to fraud relative to other conventional authentication systems. P300 is an ERP in human electroencephalography (EEG) that occurs in response to an oddball stimulus when an individual is actively engaged in a target detection task. Because P300 is consistently detectable from almost every subject, it is considered a potential signal for biometric applications...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227325/removing-noise-from-event-related-potentials-using-a-probabilistic-generative-model-with-grouped-covariance-matrices
#7
Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura, Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura, Graham Neubig, Satoshi Nakamura, Sakriani Sakti, Hayato Maki, Tomoki Toda
Analysis of electroencephalograms (EEG) usually suffers from a variety of noises. In this paper, we propose a new method for background noise removal from single-trial event-related potentials (ERPs) recorded with a multi-channel EEG. An observed signal is separated into multiple signals with a multi-channel Wiener filter, whose coefficients are estimated based on a probabilistic generative model in the time-frequency domain. The main contribution is a method to estimate covariance matrices for each frequency bins of short-time Fourier transform (STFT) representing different spatial spread of a multi-channel EEG signal according to frequencies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227092/eeg-based-single-trial-detection-of-errors-from-multiple-error-related-brain-activity
#8
Guofa Shou, Lei Ding, Guofa Shou, Lei Ding, Guofa Shou, Lei Ding
A key ability of the human brain is to monitor erroneous events and adjust behaviors accordingly. Electrophysiological and neuroimaging studies have demonstrated different brain activities related to errors. Meanwhile, the recognition of error-related brain activity as one aspect of performance monitoring has been reported for potential applications in clinical neuroscience and brain-machine interface, where single-trial analysis and classification would provide novel insights on dynamic brain responses to errors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226876/brain-activation-profiles-in-mtbi-evidence-from-erp-activity-of-working-memory-response
#9
Lianyang Li, Xianghong Arakaki, Thao Tran, Michael Harrington, Nikhil Padhye, George Zouridakis, Lianyang Li, Xianghong Arakaki, Thao Tran, Michael Harrington, Nikhil Padhye, George Zouridakis, Nikhil Padhye, Xianghong Arakaki, Thao Tran, Michael Harrington, George Zouridakis, Lianyang Li
In this study we analyzed event related potentials (ERPs) obtained in an N-back working memory test that varied in difficulty from 0- to 2-back. We collected 21 channels of activity from 11 mild traumatic brain injury (mTBI) patients and 7 normal controls, on three different visits, and used the amplitude and latency of the P300 component to characterize the subjects. A preprocessing procedure based on independent component analysis was used first to identify and eliminate electrophysiological noise on a single trial basis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226821/cortical-auditory-evoked-potentials-caeps-represent-neural-cues-relevant-to-pitch-perception
#10
Xiaochen Zhang, Qin Gong, Tao Zhang, Xiaochen Zhang, Qin Gong, Tao Zhang, Xiaochen Zhang, Tao Zhang, Qin Gong
Components of auditory event-related potentials (ERPs) may represent various aspects of the cortical processing of pitch. However, evidence hints an earlier representation of pitch perception in auditory ERPs of cortical origin. In this study, we examined whether earlier waves in cortical auditory evoked potentials (CAEPs) might reflect pitch-relevant features of both listeners and stimuli. CAEPs were elicited by pure tones and sweeping tones, and individual behavioral performance in pitch discrimination reflected by frequency difference limen (FDL) was also measured...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226815/multi-domain-feature-selection-in-auditory-mismatch-negativity-via-parafac-based-template-matching-approach
#11
Saeed Pouryazdian, Andrew Chang, Dan J Bosnyak, Laurel J Trainor, Soosan Beheshti, Sridhar Krishnan, Saeed Pouryazdian, Andrew Chang, Dan J Bosnyak, Laurel J Trainor, Soosan Beheshti, Sridhar Krishnan, Soosan Beheshti, Dan J Bosnyak, Laurel J Trainor, Sridhar Krishnan, Saeed Pouryazdian, Andrew Chang
MisMatch Negativity (MMN) is a small event-related potential (ERP) that provide an index of sensory learning and perceptual accuracy for the cognitive research. Group-level analysis plays an important role for detecting differences at group or condition level, especially when the signal-to-noise ratio is low. Tensor factorization has provided a framework for group-level analysis of ERPs by exploiting more information of brain responses in more domains simultaneously. A 4-way ERP tensor of time × frequency × channel × subjects/condition is generated and decomposed via PARAFAC...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226659/automatic-and-continuous-assessment-of-erps-for-mismatch-negativity-detection
#12
Narges Armanfard, Majid Komeili, James P Reilly, Richard Mah, John F Connolly, Narges Armanfard, Majid Komeili, James P Reilly, Richard Mah, John F Connolly, John F Connolly, Majid Komeili, Narges Armanfard, James P Reilly, Richard Mah
Accurate and fast detection of event related potential (ERP) components is an unresolved issue in neuroscience and critical health care. Mismatch negativity (MMN) is a component of the ERP to an odd stimulus in a sequence of identical stimuli which has good correlation with coma awakening. All of the previous studies for MMN detection are based on visual inspection of the averaged ERPs (over a long recording time) by a skilled neurophysiologist. However, in practical situations, such an expert may not be available or familiar with all aspects of evoked potential methods...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226631/high-accuracy-user-identification-using-eeg-biometrics
#13
Toshiaki Koike-Akino, Ruhi Mahajan, Tim K Marks, Ye Wang, Shinji Watanabe, Oncel Tuzel, Philip Orlik, Toshiaki Koike-Akino, Ruhi Mahajan, Tim K Marks, Ye Wang, Shinji Watanabe, Oncel Tuzel, Philip Orlik, Ruhi Mahajan, Tim K Marks, Shinji Watanabe, Oncel Tuzel, Ye Wang, Philip Orlik, Toshiaki Koike-Akino
We analyze brain waves acquired through a consumer-grade EEG device to investigate its capabilities for user identification and authentication. First, we show the statistical significance of the P300 component in event-related potential (ERP) data from 14-channel EEGs across 25 subjects. We then apply a variety of machine learning techniques, comparing the user identification performance of various different combinations of a dimensionality reduction technique followed by a classification algorithm. Experimental results show that an identification accuracy of 72% can be achieved using only a single 800 ms ERP epoch...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226492/toward-an-analysis-of-emotion-regulation-in-children-using-late-positive-potential
#14
Raja Majid Mehmood, Hyo Jong Lee, Raja Majid Mehmood, Hyo Jong Lee, Raja Majid Mehmood, Hyo Jong Lee
The ability of emotion regulation and emotional responses in children is a main component of emotional competence through the development process. We had employed electroencephalography (EEG) a well-known noninvasive method for recording of brain emotion signals in order to analyze the emotion regulations in children. The international affective picture system (IAPS) pictures dataset was used for selection of stimuli presentation. The stimulus presentation was commonly practiced to induce the emotional responses from human brain...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225481/the-dysfunction-of-inhibition-control-in-pituitary-patients-evidence-from-the-go-nogo-event-related-potential-study
#15
Chenglong Cao, Jian Song, Shun Yao, Yan Yan, Shun Li, Guibao Peng, Pan Ma, Hao Du, Cheng Huang, Huichao Ding, Yuanzhi He, Ronghui Sun, Guozheng Xu
Pituitary tumor is an intracranial tumor; because of the development of neuroimaging technology in recent years, morbidity is likely to increase. Evidence showed impaired cognitive ability of patients with pituitary adenoma. There is evidence that neurobehavioral disorders are common in pituitary adenoma patients. This disorder is because of the cognitive and emotional function of the important functional areas of the brain oppressed and hormone imbalance. Individuals' mental activity is controlled by the brain and the abnormal mental activity is caused by both the structural abnormalities of the brain and neurochemical dysfunction...
February 20, 2017: Neuroreport
https://www.readbyqxmd.com/read/28225376/a-qualitative-analysis-of-general-emergency-medicine-providers-perceptions-on-pediatric-emergency-telemedicine
#16
Ji Won Kim, Gunjan Tiyyagura, Melissa Langhan
OBJECTIVE: Most children in the United States are evaluated in general emergency departments (ED), which are staffed by practitioners who care for both adults and children and may have limited pediatric resources. The application of telemedicine in pediatrics is growing and has been shown to be effective in outpatient as well as critical care settings. Telemedicine has the potential to address disparities in access to pediatric emergency care. The objective of this study was to explore experiences of general ED providers with telemedicine and their perception about a potential video telemedicine program with pediatric ED providers...
February 21, 2017: Pediatric Emergency Care
https://www.readbyqxmd.com/read/28225070/speech-specific-categorical-perception-deficit-in-autism-an-event-related-potential-study-of-lexical-tone-processing-in-mandarin-speaking-children
#17
Xiaoyue Wang, Suiping Wang, Yuebo Fan, Dan Huang, Yang Zhang
Recent studies reveal that tonal language speakers with autism have enhanced neural sensitivity to pitch changes in nonspeech stimuli but not to lexical tone contrasts in their native language. The present ERP study investigated whether the distinct pitch processing pattern for speech and nonspeech stimuli in autism was due to a speech-specific deficit in categorical perception of lexical tones. A passive oddball paradigm was adopted to examine two groups (16 in the autism group and 15 in the control group) of Chinese children's Mismatch Responses (MMRs) to equivalent pitch deviations representing within-category and between-category differences in speech and nonspeech contexts...
February 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28225044/comparison-of-dp3-signals-evoked-by-comfortable-3d-images-and-2d-images-an-event-related-potential-study-using-an-oddball-task
#18
Peng Ye, Xiang Wu, Dingguo Gao, Haowen Liang, Jiahui Wang, Shaozhi Deng, Ningsheng Xu, Juncong She, Jun Chen
The horizontal binocular disparity is a critical factor for the visual fatigue induced by watching stereoscopic TVs. Stereoscopic images that possess the disparity within the 'comfort zones' and remain still in the depth direction are considered comfortable to the viewers as 2D images. However, the difference in brain activities between processing such comfortable stereoscopic images and 2D images is still less studied. The DP3 (differential P3) signal refers to an event-related potential (ERP) component indicating attentional processes, which is typically evoked by odd target stimuli among standard stimuli in an oddball task...
February 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28224940/telemedicine-to-promote-patient-safety-use-of-phone-based-interactive-voice-response-system-to-reduce-adverse-safety-events-in-pre-dialysis-ckd
#19
REVIEW
Shoshana Weiner, Jeffery C Fink
CKD patients have several features conferring on them a high risk of adverse safety events, which are defined as incidents with unintended harm related to processes of care or medications. These characteristics include impaired kidney function, polypharmacy, and frequent health system encounters. The consequences of such events in CKD can include new or prolonged hospitalization, accelerated kidney function loss, acute kidney injury, ESRD, and death. Health information technology administered via telemedicine presents opportunities for CKD patients to remotely communicate safety-related findings to providers for the purpose of improving their care...
January 2017: Advances in Chronic Kidney Disease
https://www.readbyqxmd.com/read/28224687/children-remember-words-from-ignorant-speakers-but-do-not-attach-meaning-evidence-from-event-related-potentials
#20
Haykaz Mangardich, Mark A Sabbagh
Although we know much about the conditions under which children demonstrate selective social learning, we have a limited understanding of the cognitive mechanisms by which children's selectivity manifests. Here, we report findings from a brain electrophysiological (ERP) study designed to determine the extent to which words presented by ignorant speakers were later both familiar to children and associated with semantic meaning. Forty-eight children (mean age = 6.5 years) first experienced novel word training from either a knowledgeable or an ignorant speaker...
February 21, 2017: Developmental Science
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