scholarly journals Increasing the Mobility of EEG Data Collection Using a Latte Panda Computer

2018 ◽  
Author(s):  
Jonathan W. P. Kuziek ◽  
Eden X. Redman ◽  
Graeme D. Splinter ◽  
Kyle E. Mathewson
Keyword(s):  
Data Collection ◽  
Low Cost ◽  
Event Related Potentials ◽  
Stimulus Presentation ◽  
Laptop Computer ◽  
Muscle Movement ◽  
Auditory Oddball ◽  
Processing Power ◽  
Eeg Data ◽  
Related Potentials

AbstractBackgroundElectroencephalography (EEG) experiments often require several computers to ensure accurate stimulus presentation and data collection. However, this requirement can make it more difficult to perform such experiments in mobile settings within, or outside, the laboratoryNew MethodComputer miniaturisation and increasing processing power allow for EEG experiments to become more portable. Our goal is to show that a Latte Panda, a small Windows 10 computer, can be used to accurately collect EEG data in a similar manner to a laptop. Using a stationary bike, we also demonstrate that the Latte Panda will allow for more portable EEG experiments.ResultsSignificant and reliable MMN and P3 responses, event-related potentials (ERPs) typically associated with auditory oddball tasks, were observed and were consistent when using either the laptop or Latte Panda for EEG data collection. Similar MMN and P3 ERPs were also measured in the sitting and stationary biking conditions while using a Latte Panda for data collection.Comparison with Existing MethodData recorded by the Latte Panda computer produced comparable and equally reliable results to the laptop. As well, similar ERPs during sitting and biking would suggest that EEG experiments can be conducted in more mobile situations despite the increased noise and artefacts associated with muscle movement.ConclusionsOur results show that the Latte Panda is a low-cost, more portable alternative to a laptop computer for recording EEG data. Such a device will further allow for more portable and mobile EEG experimentation in a wider variety of environments.

scholarly journals Eliciting and Recording Event Related Potentials (ERPs) in Behaviourally Unresponsive Populations: A Retrospective Commentary on Critical Factors

2021 ◽  
Vol 11 (7) ◽  
pp. 835
Author(s):  
Alexander Rokos ◽  
Richard Mah ◽  
Rober Boshra ◽  
Amabilis Harrison ◽  
Tsee Leng Choy ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
Stimulus Presentation ◽  
Event Related Potential ◽  
Critical Factors ◽  
Healthy Elderly ◽  
States Of Consciousness ◽  
Long Latency ◽  
Eeg Data ◽  
Related Potentials ◽  
The Relationship

A consistent limitation when designing event-related potential paradigms and interpreting results is a lack of consideration of the multivariate factors that affect their elicitation and detection in behaviorally unresponsive individuals. This paper provides a retrospective commentary on three factors that influence the presence and morphology of long-latency event-related potentials—the P3b and N400. We analyze event-related potentials derived from electroencephalographic (EEG) data collected from small groups of healthy youth and healthy elderly to illustrate the effect of paradigm strength and subject age; we analyze ERPs collected from an individual with severe traumatic brain injury to illustrate the effect of stimulus presentation speed. Based on these critical factors, we support that: (1) the strongest paradigms should be used to elicit event-related potentials in unresponsive populations; (2) interpretation of event-related potential results should account for participant age; and (3) speed of stimulus presentation should be slower in unresponsive individuals. The application of these practices when eliciting and recording event-related potentials in unresponsive individuals will help to minimize result interpretation ambiguity, increase confidence in conclusions, and advance the understanding of the relationship between long-latency event-related potentials and states of consciousness.

Development of low-cost event marker for EEG-based emotion recognition

2015 ◽  
Vol 39 (5) ◽  
pp. 642-652 ◽  
Author(s):  
Moon Inder Singh ◽  
Mandeep Singh
Keyword(s):  
Emotion Recognition ◽  
Computer System ◽  
Human Subjects ◽  
Low Cost ◽  
Event Related Potentials ◽  
Stimulus Presentation ◽  
Physiological Signals ◽  
Parallel Operation ◽  
Related Potentials ◽  
Cognition Enhancement

The study of changes in physiological signals for emotion recognition in human subjects has generated immense interest in medical instrumentation. One of the effective ways of classifying emotions is by the use of the event-related potentials (ERPs) of electroencephalogram (EEG) signals. This requires projection of an image on one computer system while simultaneously putting a marker on another computer system acquiring the EEG. This is achieved using costly modules to synchronize the stimulus presentation system with the data acquisition system. This paper describes an innovative low-cost technique to achieve this simultaneous triggering on the second computer system using the parallel operation of mechanical keyboards. The latency aspect of both USB and PS/2 keyboards with their two keys galvanically connected have been experimentally analysed and compared. It has been found experimentally that the USB keyboards, if used in cognition research, would give better latency results compared with the PS/2 keyboards. The synchronization error between the two USB keyboards has been found to be lower than or equal to 1 ms for the maximum number of keystrokes. The horizon of applications of this technique is unlimited and it can be used in almost every sphere of cognition enhancement and research, where a perfect synchronization of the brain stimulus with the corresponding physiological signals being acquired is required.

scholarly journals Monitoring Migraine Cycle Dynamics with an Easy-to-Use Electrophysiological Marker—A Pilot Study

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3918 ◽  
Author(s):  
Goded Shahaf ◽  
Pora Kuperman ◽  
Yuval Bloch ◽  
Shahak Yariv ◽  
Yelena Granovsky
Keyword(s):  
Pilot Study ◽  
Stress Level ◽  
Event Related Potentials ◽  
Healthy Controls ◽  
Preliminary Results ◽  
Auditory Oddball ◽  
Control Subjects ◽  
Related Potentials ◽  
Auditory Oddball Task ◽  
The Brain

Migraine attacks can cause significant discomfort and reduced functioning for days at a time, including the pre-ictal and post-ictal periods. During the inter-ictsal period, however, migraineurs seem to function normally. It is puzzling, therefore, that event-related potentials of migraine patients often differ in the asymptomatic and inter-ictal period. Part of the electrophysiological dynamics demonstrated in the migraine cycle are attention related. In this pilot study we evaluated an easy-to-use new marker, the Brain Engagement Index (BEI), for attention monitoring during the migraine cycle. We sampled 12 migraine patients for 20 days within one calendar month. Each session consisted of subjects’ reports of stress level and migraine-related symptoms, and a 5 min EEG recording, with a 2-electrode EEG device, during an auditory oddball task. The first minute of the EEG sample was analyzed. Repetitive samples were also obtained from 10 healthy controls. The brain engagement index increased significantly during the pre-ictal (p ≈ 0.001) and the ictal (p ≈ 0.020) periods compared with the inter-ictal period. No difference was observed between the pre-ictal and ictal periods. Control subjects demonstrated intermediate Brain Engagement Index values, that is, higher than inter-ictal, yet lower than pre-ictal. Our preliminary results demonstrate the potential advantage of the use of a simple EEG system for improved prediction of migraine attacks. Further study is required to evaluate the efficacy of the Brain Engagement Index in monitoring the migraine cycle and the possible effects of interventions.

P2-176: Are cortical sources of auditory oddball event-related potentials an early diagnostic marker of Alzheimer's disease?

2015 ◽  
Vol 11 (7S_Part_12) ◽  
pp. P559-P559
Author(s):  
Claudio Babiloni ◽  
Claudio Del Percio ◽  
Nicola Marzano ◽  
Susanna Cordone ◽  
Giuseppe Noce ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Diagnostic Marker ◽  
Event Related Potentials ◽  
Auditory Oddball ◽  
Cortical Sources ◽  
Related Potentials ◽  
Early Diagnostic

scholarly journals Modeling Nonlinear Transfer Functions from Speech Envelopes to Encephalography with Neural Networks

2019 ◽  
Vol 11 (4) ◽  
pp. 1 ◽  
Author(s):  
Tobias de Taillez ◽  
Florian Denk ◽  
Bojana Mirkovic ◽  
Birger Kollmeier ◽  
Bernd T. Meyer
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Linear Models ◽  
Transfer Functions ◽  
Event Related Potentials ◽  
Stimulus Presentation ◽  
Related Potentials ◽  
Linear And Nonlinear ◽  
Artificial Neural

Diferent linear models have been proposed to establish a link between an auditory stimulus and the neurophysiological response obtained through electroencephalography (EEG). We investigate if non-linear mappings can be modeled with deep neural networks trained on continuous speech envelopes and EEG data obtained in an auditory attention two-speaker scenario. An artificial neural network was trained to predict the EEG response related to the attended and unattended speech envelopes. After training, the properties of the DNN-based model are analyzed by measuring the transfer function between input envelopes and predicted EEG signals by using click-like stimuli and frequency sweeps as input patterns. Using sweep responses allows to separate the linear and nonlinear response components also with respect to attention. The responses from the model trained on normal speech resemble event-related potentials despite the fact that the DNN was not trained to reproduce such patterns. These responses are modulated by attention, since we obtain significantly lower amplitudes at latencies of 110 ms, 170 ms and 300 ms after stimulus presentation for unattended processing in contrast to the attended. The comparison of linear and nonlinear components indicates that the largest contribution arises from linear processing (75%), while the remaining 25% are attributed to nonlinear processes in the model. Further, a spectral analysis showed a stronger 5 Hz component in modeled EEG for attended in contrast to unattended predictions. The results indicate that the artificial neural network produces responses consistent with recent findings and presents a new approach for quantifying the model properties.

scholarly journals Sensory-Motor Modulations of EEG Event-Related Potentials Reflect Walking-Related Macro-Affordances

2021 ◽  
Vol 11 (11) ◽  
pp. 1506
Author(s):  
Annalisa Tosoni ◽  
Emanuele Cosimo Altomare ◽  
Marcella Brunetti ◽  
Pierpaolo Croce ◽  
Filippo Zappasodi ◽  
...  
Keyword(s):  
Large Scale ◽  
Functional Organization ◽  
Sensory Information ◽  
Event Related Potentials ◽  
Stimulus Presentation ◽  
Fundamental Principle ◽  
Facilitation Effect ◽  
Extrapersonal Space ◽  
Sensory Motor ◽  
Related Potentials

One fundamental principle of the brain functional organization is the elaboration of sensory information for the specification of action plans that are most appropriate for interaction with the environment. Using an incidental go/no-go priming paradigm, we have previously shown a facilitation effect for the execution of a walking-related action in response to far vs. near objects/locations in the extrapersonal space, and this effect has been called “macro-affordance” to reflect the role of locomotion in the coverage of extrapersonal distance. Here, we investigated the neurophysiological underpinnings of such an effect by recording scalp electroencephalography (EEG) from 30 human participants during the same paradigm. The results of a whole-brain analysis indicated a significant modulation of the event-related potentials (ERPs) both during prime and target stimulus presentation. Specifically, consistent with a mechanism of action anticipation and automatic activation of affordances, a stronger ERP was observed in response to prime images framing the environment from a far vs. near distance, and this modulation was localized in dorso-medial motor regions. In addition, an inversion of polarity for far vs. near conditions was observed during the subsequent target period in dorso-medial parietal regions associated with spatially directed foot-related actions. These findings were interpreted within the framework of embodied models of brain functioning as arising from a mechanism of motor-anticipation and subsequent prediction error which was guided by the preferential affordance relationship between the distant large-scale environment and locomotion. More in general, our findings reveal a sensory-motor mechanism for the processing of walking-related environmental affordances.

A Preliminary Study of P200 in First-episode Patients, their Relatives and Healthy Controls: Search of New Endophenotypes

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
C. Silveira ◽  
F. Santos ◽  
F. Barbosa ◽  
A. Pedro ◽  
A. Palha ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
First Episode ◽  
Healthy Controls ◽  
Significant Group ◽  
Auditory Oddball ◽  
First Degree Relatives ◽  
Confounding Variables ◽  
Related Potentials ◽  
Post Hoc ◽  
The Relationship

Background/Objective:Despite the well established genetic basis of schizophrenia, the relationship between genes and the disorder itself is still elusive. Individual endophenotypes, which reduce the complexity of genetic analyses, allow statistical approaches with quantitative trait methodologies. P200 abnormalities of event-related potentials have been reported in schizophrenia with conflicting results. The present study aims to characterize the P200 in first-episode patients and to compare it with that of first-degree relatives and controls.Methods:ERPs were recorded at 19 sites with an auditory oddball for 21 first-episode patients with schizophrenia (mean age=25.14; SD=6.20), 41 of their first degree relatives (mean age=47.65; SD=15.53) and 19 healthy controls (mean age=26.32; SD=7.16). Potentials were averaged for frequent stimuli and P200 amplitude and latency measures were obtained.Results:Analysis of midline electrodes revealed significant group effects for P200 peak amplitudes (F(2, 78)=3.315, p=.042), but not for peak latencies. Post-hoc analyses revealed that patients with schizophrenia present significantly lower P200 amplitudes (M=2.466; SD=1.564) than controls (M=5.037; SD=2.500) at Pz (T(38)=3.851, p=.003). No other significant differences were found.Conclusion:The results obtained do not straight-forwardly support the P200 peak amplitude nor peak latency as an endophenotype of schizophrenia. However, the trends of our results may suggest that the P200 amplitudes of relatives may present intermediate values between healthy controls (with higher amplitudes) and patients (with lower amplitudes). Further statistical analyses will be required in order to disentangle the effects of possible confounding variables.

Neurocognitive Mechanisms for Detecting Early Phase of Depressive Disorder

2019 ◽  
pp. 165-198
Author(s):  
Shashikanta Tarai
Keyword(s):  
Event Related Potentials ◽  
Anterior Cingulate ◽  
P300 Amplitude ◽  
Oddball Paradigm ◽  
Auditory Oddball ◽  
Parietal Lobes ◽  
Related Potentials ◽  
Electrophysiological Findings ◽  
Global And Local ◽  
Stroop Tasks

This chapter discusses neurocognitive mechanisms in terms of latency and amplitudes of EEG signals in depression that are presented in the form of event-related potentials (ERPs). Reviewing the available literature on depression, this chapter classifies early P100, ERN, N100, N170, P200, N200, and late P300 ERP components in frontal, mid-frontal, temporal, and parietal lobes. Using auditory oddball paradigm, most of the studies testing depressive patients have found robust P300 amplitude reduction. Proposing EEG methods and summarizing behavioral, neuroanatomical, and electrophysiological findings, this chapter discusses how the different tasks, paradigms, and stimuli contribute to the cohesiveness of neural signatures and psychobiological markers for identifying the patients with depression. Existing research gaps are directed to conduct ERP studies following go/no-go, flanker interference, and Stroop tasks on global and local attentional stimuli associated with happy and sad emotions to examine anterior cingulate cortex (ACC) dysfunction in depression.

Sign in / Sign up

Export Citation Format

Share Document