Eye movements may cause motor contagion effects

When a person executes a movement, the movement is more errorful while observing another person’s actions that are incongruent rather than congruent with the executed action. This effect is known as “motor contagion”. Accounts of this effect are often grounded in simulation mechanisms: increased movement error emerges because the motor codes associated with observed actions compete with motor codes of the goal action. It is also possible, however, that the increased movement error is linked to eye movements that are executed simultaneously with the hand movement because oculomotor and manual-motor systems are highly interconnected. In the present study, participants performed a motor contagion task in which they executed horizontal arm movements while observing a model making either vertical (incongruent) or horizontal (congruent) movements under three conditions: no instruction, maintain central fixation, or track the model’s hand with the eyes. A significant motor contagion-like effect was only found in the ‘track’ condition. Thus, ‘motor contagion’ in the present task may be an artifact of simultaneously executed incongruent eye movements. These data are discussed in the context of stimulation and associative learning theories, and raise eye movements as a critical methodological consideration for future work on motor contagion

Evaluation of the neurophysiological electrode-amplifier-harness system for physiological data acquisition

Development and characteristics of biomedical system for obtaining electroencephalogram and neurophysiologic data during space mission

Predictive learning, prediction errors, and attention: evidence from event-related potentials and eye tracking

Prediction error (‘‘surprise’’) affects the rate of learning: We learn more rapidly about cues for which we initially make incorrect predictions than cues for which our initial predictions are correct. The current studies employ electrophysiological measures to reveal early attentional differentiation of events that differ in their previous involvement in errors of predictive judgment. Error-related events attract more attention, as evidenced by features of event-related scalp potentials previously implicated in selective visual attention (selection negativity, augmented anterior N1). The earliest differences detected occurred around 120 msec after stimulus onset, and distributed source localization (LORETA) indicated that the inferior temporal regions were one source of the earliest differences. In addition, stimuli associated with the production of prediction errors show higher dwell times in an eyetracking procedure. Our data support the view that early attentional processes play a role in human associative learning

Analysis of Small Muscle Movement Effects on EEG Signals

In this thesis, the artefactual effects of the small muscle movements were investigated. Upper frequency bands (30 Hz) of the EEG signal were extracted in order to investigate the artefactual effects of the small muscle movements. When the contamination level is high, the detection of the small muscle artifact can be made with the 92.2% accuracy. If these artifacts are really small such as a single finger movement, the detection accuracy decreases to 64%. But, the detection accuracy increases to 72% after removing the eye blink artifacts. The results of the classification support our hypothesis about the artefactual effects of the small muscle movements

EOG-Based Eye Movement Classification and Application on HCI Baseball Game

© 2013 IEEE. Electrooculography (EOG) is considered as the most stable physiological signal in the development of human-computer interface (HCI) for detecting eye-movement variations. EOG signal classification has gained more traction in recent years to overcome physical inconvenience in paralyzed patients. In this paper, a robust classification technique, such as eight directional movements is investigated by introducing a concept of buffer along with a variation of the slope to avoid misclassification effects in EOG signals. Blinking detection becomes complicated when the magnitude of the signals are considered. Hence, a correction technique is introduced to avoid misclassification for oblique eye movements. Meanwhile, a case study has been considered to apply these correction techniques to HCI baseball game to learn eye-movements

Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring

Sleep studies are important for diagnosing sleep disorders such as insomnia, narcolepsy or sleep apnea. They rely on manual scoring of sleep stages from raw polisomnography signals, which is a tedious visual task requiring the workload of highly trained professionals. Consequently, research efforts to purse for an automatic stage scoring based on machine learning techniques have been carried out over the last years. In this work, we resort to multitaper spectral analysis to create visually interpretable images of sleep patterns from EEG signals as inputs to a deep convolutional network trained to solve visual recognition tasks. As a working example of transfer learning, a system able to accurately classify sleep stages in new unseen patients is presented. Evaluations in a widely-used publicly available dataset favourably compare to state-of-the-art results, while providing a framework for visual interpretation of outcomes.Comment: 8 pages, 1 figure, 2 tables, IEEE 2017 International Workshop on Machine Learning for Signal Processin

Avoiding unseen obstacles : Subcortical vision is not sufficient to maintain normal obstacle avoidance behaviour during reaching

Acknowledgement This work was funded by the RS MacDonald Charitable Trust (awarded to C. Hesse in June 2013). T. Schenk was supported by a grant from the German Research Council (DFG – SCHE 735/3-1). The authors would like to thank Dr Stefanie Biehl for her valuable advice on lesion localisation based on the CT and MRI scans of the patients. We would also like to thank all the patients for taking part in our experiments and for giving up so much of their free time.Peer reviewedPostprin

Event Fixation Related Potential During Visual Emotion Stimulation

Cílem této diplomové práce je najít a popsat souvislost mezi fixací očí v emočně zabarveném stimulu, kterým je obrázek či video, a EEG signálu. K tomuto studiu je třeba vyvinout softwarové nástroje v prostředí Matlab k úpravě a zpracování dat získaných z eye trackeru a propojení s EEG signály pomocí nově vytvořených markerů. Na základě získaných znalostí o fixacích, jsou v prostředí BrainVision Analyzeru EEG data zpracovány a následně jsou segmentovány a průměrovány jako evokované potenciály pro jednotlivé stimuly (ERP a EfRP). Tato práce je vypracována ve spolupráci s Gipsa-lab v rámci výzkumného projektu.This diploma thesis is a part of a ongoing research project concerning new joint technique of eye fixations and EEG. The goal of this work is to find and analyze a connection between eye fixation in a face expressing an emotion (static or dynamic). For this study certain software developments need to be done to adjust fixation data in Matlab and connect them to EEG signals with newly created markers. Based on the obtained information on fixations, EEG data are processed in BrainVision Analyzer and segmented to obtain ERPs and EfRPs for each stimuli.

The Analysis of Pediatric Sleep Lab Inefficiencies

The goal of this project is to develop a children’s sleep apnea test for home use. This design is to be of cost and quality improvement to what is currently on the market. It is important to fully understand the background of this sleep disorder in order to create this improvement. Knowing what sleep apnea is, as well as the different types, is what is used to create the methods such as S.C.O.P.E.R. Each letter is used to observe one portion or aspect of the human body and how it functions with regards to sleep apnea. The data taken from the test is used in determining sleep apnea, the severity, and necessary treatment. On the side of cost, the price of a sleep test, depending on whether it is a home test or not is taken into consideration for the patient’s insurance. This includes anywhere from speaking to a specialist before setting up a sleep test to analyzing the data from said sleep test. These things are all taken into account when designing a sleep test for home use

Offset Masking in a Divided Visual Field Study

A problem in divided visual field studies which use event-related potentials as a dependent measure is the large number of horizontal eye movements participants make during experimental trials. Past attention research suggests that eye movements to lateralized targets should be significantly reduced using a dynamic, offset mask, causing a reduction in attentional capture. The current study attempted to replicate past divided visual field language studies using offset masking procedures. Using a basic offset procedure, eye movements were not reduced in Experiment 1. Experiment 3, however, did see a significant reduction in eye movements using a dynamic offset masking procedure developed in Experiment 2. Low accuracy rates were a concern throughout. In conclusion, horizontal eye movements can be reduced with a dynamic offset procedure but the low accuracy rates and the inconsistent behavioral findings throughout the study do not support using this technique