scholarly journals The Effect of Static and Dynamic Visual Stimulations on Error Detection Based on Error-Evoked Brain Responses

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4475
Author(s):  
Rui Xu ◽  
Yaoyao Wang ◽  
Xianle Shi ◽  
Ningning Wang ◽  
Dong Ming
Keyword(s):  
Error Detection ◽  
Time Window ◽  
Time Windows ◽  
Static Condition ◽  
Linear Discriminant ◽  
Brain Responses ◽  
Dynamic Case ◽  
Related Potentials ◽  
Error Recognition ◽  
The Brain

Error-related potentials (ErrPs) have provided technical support for the brain-computer interface. However, different visual stimulations may affect the ErrPs, and furthermore, affect the error recognition based on ErrPs. Therefore, the study aimed to investigate how people respond to different visual stimulations (static and dynamic) and find the best time window for different stimulation. Nineteen participants were recruited in the ErrPs-based tasks with static and dynamic visual stimulations. Five ErrPs were statistically compared, and the classification accuracies were obtained through linear discriminant analysis (LDA) with nine different time windows. The results showed that the P3, N6, and P8 with correctness were significantly different from those with error in both stimulations, while N1 only existed in static. The differences between dynamic and static errors existed in N1 and P2. The highest accuracy was obtained in the time window related to N1, P3, N6, and P8 for the static condition, and in the time window related to P3, N6, and P8 for the dynamic. In conclusion, the early components of ErrPs may be affected by stimulation modes, and the late components are more sensitive to errors. The error recognition with static stimulation requires information from the entire epoch, while the late windows should be focused more within the dynamic case.

scholarly journals Effect of Brightness of Visual Stimuli on EEG Signals

2019 ◽  
Author(s):  
Kübra Eroğlu ◽  
Temel Kayıkçıoğlu ◽  
Onur Osman
Keyword(s):  
Visual Processing ◽  
Time Window ◽  
Time Windows ◽  
Visual Stimuli ◽  
Average Power ◽  
Power Spectra ◽  
Brain Regions ◽  
Behavioral Data ◽  
Brain Responses ◽  
The Brain

The aim of this study was to examine brightness effect, which is the perceptual property of visual stimuli, on brain responses obtained during visual processing of these stimuli. For this purpose, brain responses of the brain to changes in brightness were explored comparatively using different emotional images (pleasant, unpleasant and neutral) with different luminance levels. Moreover, electroencephalography recordings from 12 different electrode sites of 31 healthy participants were used. The power spectra obtained from the analysis of the recordings using short time Fourier transform were analyzed, and a statistical analysis was performed on features extracted from these power spectra. Statistical findings obtained from electrophysiological data were compared with those obtained from behavioral data. The results showed that the brightness of visual stimuli affected the power of brain responses depending on frequency, time and location. According to the statistically verified findings, the distinctive effect of brightness occurred in the parietal and occipital regions for all the three types of stimuli. Accordingly, the increase in the brightness of pleasant and neutral images increased the average power of responses in the parietal and occipital regions whereas the increase in the brightness of unpleasant images decreased the average power of responses in these regions. However, the increase in brightness for all the three types of stimuli reduced the average power of frontal and central region responses (except for 100-300 ms time window for unpleasant stimuli). The statistical results obtained for unpleasant images were found to be in accordance with the behavioral data. The results also revealed that the brightness of visual stimuli could be represented by changing the activity power of the brain cortex. The main contribution of this research was to comprehensively examine brightness effect on brain activity for images with different emotional content and different frequency bands at different time windows of visual processing for different brain regions. The findings emphasized that the brightness of visual stimuli should be viewed as an important parameter in studies using emotional image techniques such as image classification, emotion evaluation and neuro-marketing.

Behavioral and Brain Responses Highlight the Role of Usage in the Preparation of Multiword Utterances for Production

2021 ◽  
pp. 1-34
Author(s):  
Hyein Jeong ◽  
Emiel van den Hoven ◽  
Sylvain Madec ◽  
Audrey Bürki
Keyword(s):  
Language Processing ◽  
Time Windows ◽  
Low Frequency ◽  
Balanced Design ◽  
Brain Responses ◽  
Functional Locus ◽  
Linguistic Representations ◽  
Electrophysiological Signal ◽  
The Brain ◽  
Naming Latencies

Abstract Usage-based theories assume that all aspects of language processing are shaped by the distributional properties of the language. The frequency not only of words but also of larger chunks plays a major role in language processing. These theories predict that the frequency of phrases influences the time needed to prepare these phrases for production and their acoustic duration. By contrast, dominant psycholinguistic models of utterance production predict no such effects. In these models, the system keeps track of the frequency of individual words but not of co-occurrences. This study investigates the extent to which the frequency of phrases impacts naming latencies and acoustic duration with a balanced design, where the same words are recombined to build high- and low-frequency phrases. The brain signal of participants is recorded so as to obtain information on the electrophysiological bases and functional locus of frequency effects. Forty-seven participants named pictures using high- and low-frequency adjective–noun phrases. Naming latencies were shorter for high-frequency than low-frequency phrases. There was no evidence that phrase frequency impacted acoustic duration. The electrophysiological signal differed between high- and low-frequency phrases in time windows that do not overlap with conceptualization or articulation processes. These findings suggest that phrase frequency influences the preparation of phrases for production, irrespective of the lexical properties of the constituents, and that this effect originates at least partly when speakers access and encode linguistic representations. Moreover, this study provides information on how the brain signal recorded during the preparation of utterances changes with the frequency of word combinations.

Source Localization of Subtopographic Brain Maps for Event Related Potentials (ERP)

2008 ◽  
pp. 1247-1252
Author(s):  
Adil Deniz Duru ◽  
Ali Bayram ◽  
Tamer Demiralp ◽  
Ahmet Ademoglu
Keyword(s):  
Source Localization ◽  
Temporal Frequency ◽  
Event Related Potentials ◽  
Functional Brain Imaging ◽  
Frequency Content ◽  
Brain Potentials ◽  
Functional Brain ◽  
Brain Responses ◽  
Related Potentials ◽  
The Brain

Event-related potentials (ERP) are transient brain responses to cognitive stimuli, and they consist of several stationary events whose temporal frequency content can be characterized in terms of oscillations or rhythms. Precise localization of electrical events in the brain, based on the ERP data recorded from the scalp, has been one of the main challenges of functional brain imaging. Several currentDensity estimation techniques for identifying the electrical sources generating the brain potentials are developed for the so-called neuroelectromagnetic inverse problem in the last three decades (Baillet, Mosher, & Leahy, 2001; Koles, 1998; Michela, Murraya, Lantza, Gonzaleza, Spinellib, & Grave de Peraltaa, 2004; Scherg & von Cramon, 1986).

scholarly journals Looking for effects of qualia on event-related brain potentials of close others in search for a cause of the similarity of qualia assumed across individuals

F1000Research ◽  
2018 ◽  
Vol 3 ◽  
pp. 316
Author(s):  
Sheila Bouten ◽  
Hugo Pantecouteau ◽  
J. Bruno Debruille
Keyword(s):  
Time Window ◽  
Brain Activity ◽  
Conscious Experience ◽  
Event Related Potentials ◽  
The Other ◽  
Brain Potentials ◽  
Frontal Electrode ◽  
Related Potentials ◽  
The Individual ◽  
The Brain

Qualia, the individual instances of subjective conscious experience, are private events. However, in everyday life, we assume qualia of others and their perceptual worlds, to be similar to ours. One way this similarity is possible is if qualia of others somehow contribute to the production of qualia by our own brain and vice versa. To test this hypothesis, we focused on the mean voltages of event-related potentials (ERPs) in the time-window of the P600 component, whose amplitude correlates positively with conscious awareness. These ERPs were elicited by images of the international affective picture system in 16 pairs of friends, siblings or couples going side by side through hyperscanning without having to interact. Each of the 32 members of these 16 pairs faced one half of the screen and could not see what the other member was presented with on the other half. One stimulus occurred on each half simultaneously. The sameness of these stimulus pairs was manipulated as well as the participants’ belief in that sameness by telling subjects’ pairs that they were going to be presented with the same stimuli in two blocks and with different ones in the two others. ERPs were more positive at all electrode subsets for stimulus pairs that were inconsistent with the belief than for those that were consistent. In the N400 time window, at frontal electrode sites, ERPs were again more positive for inconsistent than for consistent stimuli. As participants had no way to see the stimulus their partner was presented with and thus no way to detect inconsistence, these data might reveal an impact of the qualia of a person on the brain activity of another. Such impact could provide a research avenue when trying to explain the similarity of qualia across individuals.

scholarly journals Electrophysiological signatures of English onomatopoeia

2019 ◽  
Vol 12 (1) ◽  
pp. 15-35 ◽  
Author(s):  
GABRIELLA VIGLIOCCO ◽  
YE ZHANG ◽  
NICOLA DEL MASCHIO ◽  
ROSANNA TODD ◽  
JYRKI TUOMAINEN
Keyword(s):  
Target Word ◽  
Language Processing ◽  
Semantic Processing ◽  
Time Window ◽  
Time Windows ◽  
Event Related Potentials ◽  
Semantic Activation ◽  
Level Ii ◽  
Lexical Effects ◽  
Related Potentials

abstractOnomatopoeia is widespread across the world’s languages. They represent a relatively simple iconic mapping: the phonological/phonetic properties of the word evokes acoustic related features of referents. Here, we explore the EEG correlates of processing onomatopoeia in English. Participants were presented with a written cue-word (e.g., leash) and then with a spoken target-word. The target-word was either an onomatopoeia (e.g., bark), a sound-related but arbitrary word (e.g., melody), or another arbitrary word (e.g., bike). Participants judged whether the cue- and the target-word were similar in meaning. We analysed Event-Related Potentials (ERPs) in different time-windows: (i) early (100–200 and 200–250 ms) to assess differences in processing at the form-level; (ii) the N400 time-window (300–500 ms) in order to establish if there are differences in semantic processing across our word-types; and (iii) late (600–900 ms) to assess post-lexical effects. We found that onomatopoeia differed from the other words in the N400 time-window: when cue and target were unrelated, onomatopoeic words led to greater negativity which can be accounted for in terms of enhanced semantic activation of onomatopoeia which leads to greater salience of the mismatch. We discuss results in the context of a growing body of literature investigating iconicity in language processing and development.

scholarly journals Investigating Managers’ Fine-Grained Evaluation Processes in Organizations: Exploring Two Dual-Process Perspectives

2021 ◽  
Vol 15 ◽  
Author(s):  
Haoye Sun ◽  
Willem J. M. I. Verbeke ◽  
Frank Belschak ◽  
Jan van Strien ◽  
Lei Wang
Keyword(s):  
Management Practice ◽  
Novelty Detection ◽  
Time Windows ◽  
Event Related Potentials ◽  
Dual Process ◽  
Organizational Contexts ◽  
Fine Grained ◽  
Stereotype Content ◽  
Related Potentials ◽  
The Brain

The dual-process theory is a significant theory in both organizational theory and social psychology and two conjectures about this theory are considered in this manuscript; the default-interventionist vs. parallel-competitive account. Our research goal is to empirically investigate these two views. In concrete terms, by using event-related potentials (ERPs), we seek to study the fine-grained brain processes and self-reported feelings involved in managers’ evaluations of target employees within an economic context (firing employees) vs. a social network context (excluding employees). Using the stereotype content model categories, each target employee has high (or low) warmth and high (or low) levels of competence. In the fine-grained ERP analysis of the brain process, we focus on three time windows of interest: novelty detection (N2) and goal violation detection (N400) at the unconscious level, and we then evaluate conscious emotional arousal (late positive potential, LPP). Finally, we focus on the self-reported feelings when having to fire or exclude target employees. As goal pursuit theory predicts, the brain dynamics and self-reported measures differ widely across the two organizational contexts; in concrete terms, processes at a later stage overrule early stages depending on the context. This implies that the data bespeaks more for the parallel-competitive account than the default-interventionist account. We discuss the implications of these findings for research in management and management practice.

scholarly journals Preference Inferences from Eye-Related Cues in Sales-Consumer Settings: ERP Timing and Localization in Relation to Inferring Performance and Oxytocin Receptor (OXTR) Gene Polymorphisms

2016 ◽  
Vol 8 (4) ◽  
pp. 1 ◽  
Author(s):  
Willem Verbeke ◽  
Rumen Pozharliev
Keyword(s):  
Time Windows ◽  
Event Related Potentials ◽  
Oxytocin Receptor ◽  
Alcoholic Beverages ◽  
Allele Carrier ◽  
Related Information ◽  
Brain Responses ◽  
Passive Viewing ◽  
Related Potentials ◽  
Socially Motivated

<p>Past physiological evidence, indicates that inferences on the mind of another person (i.e., goals, intentions, beliefs), is a well-defined brain process characterized by specific temporal and spatial properties. This study investigated brain responses during passive viewing (consumers’ role) of branded products (i.e., chocolates, chips, non alcoholic beverages) and preference inferences (sales consultants’ role) from eye-related information. Using EEG methods, event-related potentials (ERPs) were recorded while participants passively viewed pictures of branded products versus when they tried to infer others’ product preferences from eye-related information. ERP amplitudes were examined in two time windows, corresponding to the P3 component and the late positive potential (LPP). Dissimilar brain responses were found for preference inferences compared to passively viewingfor the P3 and LPPcomponents. P3 and LPP amplitudes were greater for preference inferences compared to passive viewing. In addition, enhance P3 and LPP amplitudes were found for preference inferences compared to passive viewing for the High Inferring Performance (HI) as opposed to the Low Inferring Performance (LI) group. Finally, enhanced posterior P3 and LPP amplitudes were found for preference inferences compared to passive viewing for the GG as opposed to the A-allele carrier individuals of oxytocin receptor (OXTR) gene. Taken together, the results suggest that posteriorP3 and LPP amplitude during preference inferences from eye-related cues as opposed to passive viewing of branded products reflects increased socially motivated attention allocation required for the social inferring task, for the GG compared to A-allele carrier individuals.</p>

The Temporal Features of Self-referential Processing Evoked by Chinese Handwriting

2008 ◽  
Vol 20 (5) ◽  
pp. 816-827 ◽  
Author(s):  
Antao Chen ◽  
Xuchu Weng ◽  
Jiajin Yuan ◽  
Xu Lei ◽  
Jiang Qiu ◽  
...  
Keyword(s):  
Medial Temporal Lobe ◽  
Time Window ◽  
Time Windows ◽  
Event Related Potentials ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Processing Unit ◽  
Temporal Features ◽  
Referential Processing ◽  
Related Potentials

To explore the temporal features and underlying brain structures of self-referential processing, participants were shown examples of Chinese handwriting, half of which were their own and the other half belonged to others, and asked to judge whether the handwriting was their own. In Experiment 1, the task was to categorize the handwriting by pressing the correct key as quickly as possible. In Experiment 2, after the participants recognized the stimuli, they were required to gaze at the handwriting for 3000 msec before making a response rather than responding immediately after stimulus onset. The results showed prominent differences in event-related potentials elicited by own and other handwriting conditions in the 200–500 msec and 1000–2000 msec time windows. Dipole analyses of the difference waves, own minus other, were conducted in both of these time windows. There were two dipoles in the 200–500 msec time window localized to the medial-temporal lobe and the anterior cingulate cortex (ACC), and MTL activation preceded ACC activation. Only one dipole at the posterior cingulate cortex was fitted to the 1000–2000 msec time window. These structures were activated sequentially in a temporal course, which provides evidence that the cortex middle structures potentially form a specific self-related processing unit, which is involved in processing various aspects of the self.

scholarly journals A new approach based on principal ERPs and LDA to improve P300 mind spellers

2021 ◽  
Author(s):  
Ali Mobaien ◽  
Negar Kheirandish ◽  
Reza Boostani
Keyword(s):  
Event Related Potentials ◽  
Training Data ◽  
Support Vector ◽  
New Approach ◽  
Linear Discriminant ◽  
Brain Signals ◽  
Vector Machines ◽  
Related Potentials ◽  
The Brain ◽  
Visual P300

<div>Abstract—Visual P300 mind speller is a brain-computer interface that allows an individual to type through his mind. For this goal, the subject sits in front of a screen full of characters, and when his desired one is highlighted, there will be a P300 response (a positive deflection nearly 300ms after stimulus) in his brain signals. Due to the very low signal-to noise (SNR) of the P300 in the background activities of the brain, detection of this component is challenging. Principal ERP reduction (pERP-RED) is a newly developed method that can effectively extract the underlying templates of event-related potentials (ERPs), by employing a three-step spatial filtering procedure. In this research, we investigate the performance of pERP-RED in conjunction with linear discriminant analysis (LDA) to classify P300 data. The proposed method is examined on a real P300 dataset and compared to the state-of-the-art LDA and support vector machines. The results demonstrate that the proposed method achieves higher classification accuracy in low SNRs and low numbers of training data.</div>

scholarly journals A new approach based on principal ERPs and LDA to improve P300 mind spellers

2021 ◽  
Author(s):  
Ali Mobaien ◽  
Negar Kheirandish ◽  
Reza Boostani
Keyword(s):  
Event Related Potentials ◽  
Training Data ◽  
Support Vector ◽  
New Approach ◽  
Linear Discriminant ◽  
Brain Signals ◽  
Vector Machines ◽  
Related Potentials ◽  
The Brain ◽  
Visual P300

<div>Abstract—Visual P300 mind speller is a brain-computer interface that allows an individual to type through his mind. For this goal, the subject sits in front of a screen full of characters, and when his desired one is highlighted, there will be a P300 response (a positive deflection nearly 300ms after stimulus) in his brain signals. Due to the very low signal-to noise (SNR) of the P300 in the background activities of the brain, detection of this component is challenging. Principal ERP reduction (pERP-RED) is a newly developed method that can effectively extract the underlying templates of event-related potentials (ERPs), by employing a three-step spatial filtering procedure. In this research, we investigate the performance of pERP-RED in conjunction with linear discriminant analysis (LDA) to classify P300 data. The proposed method is examined on a real P300 dataset and compared to the state-of-the-art LDA and support vector machines. The results demonstrate that the proposed method achieves higher classification accuracy in low SNRs and low numbers of training data.</div>

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