Research on the Emotions Based on Brain-Computer Technology: A Bibliometric Analysis and Research Agenda

Liu, Xiaoju; Shan, Biaoan; Zhang, Xiangxian; Pu, Yi

doi:10.3389/fpsyg.2021.771591

Cited by 10 publications

(6 citation statements)

References 56 publications

(62 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Emotion regulation is very important for an individual’s physical and mental health, and emotion recognition is the basis of emotion regulation. The emotions of different individuals will change with time and environment [ 84 ]. Therefore, BCI needs to be customized for specific individuals to identify emotions.…”

Section: Personalized Bci Applicationmentioning

confidence: 99%

Personalized Brain–Computer Interface and Its Applications

Gong

Nan

et al. 2022

JPM

View full text Add to dashboard Cite

Brain–computer interfaces (BCIs) are a new technology that subverts traditional human–computer interaction, where the control signal source comes directly from the user’s brain. When a general BCI is used for practical applications, it is difficult for it to meet the needs of different individuals because of the differences among individual users in physiological and mental states, sensations, perceptions, imageries, cognitive thinking activities, and brain structures and functions. For this reason, it is necessary to customize personalized BCIs for specific users. So far, few studies have elaborated on the key scientific and technical issues involved in personalized BCIs. In this study, we will focus on personalized BCIs, give the definition of personalized BCIs, and detail their design, development, evaluation methods and applications. Finally, the challenges and future directions of personalized BCIs are discussed. It is expected that this study will provide some useful ideas for innovative studies and practical applications of personalized BCIs.

show abstract

Section: Personalized Bci Applicationmentioning

confidence: 99%

Personalized Brain–Computer Interface and Its Applications

Gong

Nan

et al. 2022

JPM

View full text Add to dashboard Cite

show abstract

“…The ERP markers of category-specific processing here reported were identified through the statistical methods (repeated measures analysis of variance, ANOVA), aided by a neuroscience-based supervised expert analysis. The findings can be hopefully helpful for setting future constraints for unsupervised/supervised machine learning and automated classification systems (e.g., Jebari, 2013 ; Ash and Benson, 2018 ; Yan et al, 2021 ). Figure 8 shows data variance for each statistical contrast among stimulus categories.…”

Section: Discussionmentioning

confidence: 94%

Event-related brain potential markers of visual and auditory perception: A useful tool for brain computer interface systems

Proverbio

Tacchini

Jiang

2022

Front. Behav. Neurosci.

View full text Add to dashboard Cite

ObjectiveA majority of BCI systems, enabling communication with patients with locked-in syndrome, are based on electroencephalogram (EEG) frequency analysis (e.g., linked to motor imagery) or P300 detection. Only recently, the use of event-related brain potentials (ERPs) has received much attention, especially for face or music recognition, but neuro-engineering research into this new approach has not been carried out yet. The aim of this study was to provide a variety of reliable ERP markers of visual and auditory perception for the development of new and more complex mind-reading systems for reconstructing the mental content from brain activity.MethodsA total of 30 participants were shown 280 color pictures (adult, infant, and animal faces; human bodies; written words; checkerboards; and objects) and 120 auditory files (speech, music, and affective vocalizations). This paradigm did not involve target selection to avoid artifactual waves linked to decision-making and response preparation (e.g., P300 and motor potentials), masking the neural signature of semantic representation. Overall, 12,000 ERP waveforms × 126 electrode channels (1 million 512,000 ERP waveforms) were processed and artifact-rejected.ResultsClear and distinct category-dependent markers of perceptual and cognitive processing were identified through statistical analyses, some of which were novel to the literature. Results are discussed from the view of current knowledge of ERP functional properties and with respect to machine learning classification methods previously applied to similar data.ConclusionThe data showed a high level of accuracy (p ≤ 0.01) in the discriminating the perceptual categories eliciting the various electrical potentials by statistical analyses. Therefore, the ERP markers identified in this study could be significant tools for optimizing BCI systems [pattern recognition or artificial intelligence (AI) algorithms] applied to EEG/ERP signals.

show abstract

“…Despite the growing interest in bibliometric analyses of the progress in the fields of psychology and psychiatry, there is still a lack of topical and focused analyses [ 25 - 32 ], particularly those assessing the situation in less developed populations. To our knowledge, this is one of the first studies to compare research intensity in this field between HICs and LMICs.…”

Section: Discussionmentioning

confidence: 99%

Scarcity of research on psychological or psychiatric states using validated questionnaires in low- and middle-income countries: A ChatGPT-assisted bibliometric analysis and national case study on some psychometric properties

Rudan,

Marčinko,

Degmečić

et al. 2023

J Glob Health

View full text Add to dashboard Cite

Background It is vital to assess whether research on psychological or psychiatric states using validated questionnaires is still lagging in low- and middle-income countries and to what degree, and to continue to assess the psychometric properties of the most informative questionnaires. Methods We performed a bibliometric analysis of Web of Science Core Collection for all years to determine the number of studies performed in each country that used an inventory or a questionnaire on aggression, anxiety, depression, borderline personality, narcissism, self-harm, shame, or childhood trauma. We conducted a simple observational analysis of distributions by countries to derive the main overall conclusions, assisted by ChatGPT to test its ability to summarise and interpret this type of information. We also carried out a study in Croatia to examine some psychometric properties of five commonly used questionnaires, using Cronbach’s α coefficient and zero-order correlations. Results We observed a concentration of research activity in a few high-income countries, primarily the United States and several European nations, suggesting a robust research infrastructure and a strong emphasis on studying psychological and psychiatric states within their population. In contrast, low- and middle-income countries were notably under-represented in research on psychological and psychiatric states, although the gap seems to be closing in some countries. Turkey, Iran, Brazil, South Africa, Mexico, India, Malaysia and Pakistan have been consistently contributing an increasing number of studies and catching up with the most research-intensive high-income countries. The national case study in Croatia confirmed adequate psychometric properties of the most frequently used questionnaires. Conclusions Addressing research gaps in low- and middle-income countries is crucial, because relying solely on research from high-income countries may not fully capture the nuances of psychological and psychiatric states within diverse populations. To bridge this gap, it is essential to prioritise mental health research in low-resource settings, provide training and resources to local researchers, and establish international collaborations. Such efforts can lead to the development of culturally valid questionnaires, an improved understanding of psychological and psychiatric states in diverse contexts, and the creation of effective interventions to promote mental well-being on a global scale.

show abstract

Research on the Emotions Based on Brain-Computer Technology: A Bibliometric Analysis and Research Agenda

Cited by 10 publications

References 56 publications

Personalized Brain–Computer Interface and Its Applications

Personalized Brain–Computer Interface and Its Applications

Event-related brain potential markers of visual and auditory perception: A useful tool for brain computer interface systems

Scarcity of research on psychological or psychiatric states using validated questionnaires in low- and middle-income countries: A ChatGPT-assisted bibliometric analysis and national case study on some psychometric properties

Contact Info

Product

Resources

About