@article{park2023viewer,

title = {Viewer Emotional Response to Webtoon-Based Drama: An EEG Analysis},

author = {Jaeyoung Park and Soyoung Wang and Seungji Lee and Seungbeom Seo and Nayoung Lee and Seongcheol Kim},

doi = {https://doi.org/10.1080/10447318.2023.2285647},

year  = {2023},

date = {2023-11-29},

urldate = {2023-01-01},

journal = {International Journal of Human–Computer Interaction},

pages = {1–15},

publisher = {Taylor & Francis},

abstract = {Amidst entertainment market uncertainties, cross-medium content extension has emerged as a powerful strategy. Webtoons, digital cartoons, stand out as significant resources. However, limited research has delved into effective strategies for extending these narratives. Acknowledging the crucial role of evoking viewer emotions in content success, this study investigates viewer emotional responses. Departing from conventional methods, we employ neuroscientific measurement—specifically, electroencephalography (EEG)—to capture real-time viewer emotions during content consumption, assessing valence and arousal. We examine the impact of webtoon-drama similarity on viewer emotions and scene attributes that heighten emotional responses. By integrating EEG data, interview insights, and scene analysis, our findings underscore intensified emotions when drama scenes mirror webtoon elements, particularly in sets and directing. Effective replication relies on drama-specific attributes such as choreography, original soundtracks, and casting. This study contributes academically by using EEG to evaluate webtoons’ value as original sources and practically by offering concrete webtoon extension strategy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10328701,

title = {Emotion Recognition from Few-Channel EEG Signals by Integrating Deep Feature Aggregation and Transfer Learning},

author = {F. Liu and P. Yang and Y. Shu and N. Liu and J. Sheng and J. Luo and X. Wang and Y. Liu},

doi = {10.1109/TAFFC.2023.3336531},

issn = {1949-3045},

year  = {2023},

date = {2023-11-01},

urldate = {2023-11-01},

journal = {IEEE Transactions on Affective Computing},

number = {01},

pages = {1-17},

publisher = {IEEE Computer Society},

address = {Los Alamitos, CA, USA},

abstract = {Electroencephalogram (EEG) signals have been widely studied in human emotion recognition. The majority of existing EEG emotion recognition algorithms utilize dozens or hundreds of electrodes covering the whole scalp region (denoted as full-channel EEG devices in this paper). Nowadays, more and more portable and miniature EEG devices with only a few electrodes (denoted as few-channel EEG devices in this paper) are emerging. However, emotion recognition from few-channel EEG data is challenging because the device can only capture EEG signals from a portion of the brain area. Moreover, existing full-channel algorithms cannot be directly adapted to few-channel EEG signals due to the significant inter-variation between full-channel and few-channel EEG devices. To address these challenges, we propose a novel few-channel EEG emotion recognition framework from the perspective of knowledge transfer. We leverage full-channel EEG signals to provide supplementary information for few-channel signals via a transfer learning-based model CD-EmotionNet, which consists of a base emotion model for efficient emotional feature extraction and a cross-device transfer learning strategy. This strategy helps to enhance emotion recognition performance on few-channel EEG data by utilizing knowledge learned from full-channel EEG data. To evaluate our cross-device EEG emotion transfer learning framework, we construct an emotion dataset containing paired 18-channel and 5-channel EEG signals from 25 subjects, as well as 5-channel EEG signals from 13 other subjects. Extensive experiments show that our framework outperforms state-of-the-art EEG emotion recognition methods by a large margin.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chan2023effects,

title = {Effects of multisession cathodal transcranial direct current stimulation with cognitive training on sociocognitive functioning and brain dynamics in ASD: A double-blind, sham-controlled, randomized EEG study},

author = {Melody MY Chan and Coco XT Choi and Tom CW Tsoi and Caroline KS Shea and Klaire WK Yiu and Yvonne MY Han},

doi = {https://doi.org/10.1016/j.brs.2023.10.012},

year  = {2023},

date = {2023-10-31},

urldate = {2023-01-01},

journal = {Brain Stimulation},

volume = {16},

issue = {8},

pages = {P1604-1616},

publisher = {Elsevier},

abstract = {Background

Few treatment options are available for targeting core symptoms of autism spectrum disorder (ASD). The development of treatments that target common neural circuit dysfunctions caused by known genetic defects, namely, disruption of the excitation/inhibition (E/I) balance, is promising. Transcranial direct current stimulation (tDCS) is capable of modulating the E/I balance in healthy individuals, yet its clinical and neurobiological effects in ASD remain elusive.



Objective

This double-blind, randomized, sham-controlled trial investigated the effects of multisession cathodal prefrontal tDCS coupled with online cognitive remediation on social functioning, information processing efficiency and the E/I balance in ASD patients aged 14–21 years.



Methods

Sixty individuals were randomly assigned to receive either active or sham tDCS (10 sessions in total, 20 min/session, stimulation intensity: 1.5 mA, cathode: F3, anode: Fp2, size of electrodes: 25 cm2) combined with 20 min of online cognitive remediation. Social functioning, information processing efficiency during cognitive tasks, and theta- and gamma-band E/I balance were measured one day before and after the treatment.



Results

Compared to sham tDCS, active cathodal tDCS was effective in enhancing overall social functioning [F(1, 58) = 6.79, p = .012, ηp2 = 0.105, 90% CI: (0.013, 0.234)] and information processing efficiency during cognitive tasks [F(1, 58) = 10.07, p = .002, ηp2 = 0.148, 90% CI: (0.034, 0.284)] in these individuals. Electroencephalography data showed that this cathodal tDCS protocol was effective in reducing the theta-band E/I ratio of the cortical midline structures [F(1, 58) = 4.65, p = .035, ηp2 = 0.074, 90% CI: (0.010, 0.150)] and that this reduction significantly predicted information processing efficiency enhancement (b = −2.546, 95% BCa CI: [-4.979, −0.113], p = .041).



Conclusion

Our results support the use of multisession cathodal tDCS over the left dorsolateral prefrontal cortex combined with online cognitive remediation for reducing the elevated theta-band E/I ratio in sociocognitive information processing circuits in ASD patients, resulting in more adaptive regulation of global brain dynamics that is associated with enhanced information processing efficiency after the intervention.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{georgiadis2023neuma,

title = {NeuMa-the absolute Neuromarketing dataset en route to an holistic understanding of consumer behaviour},

author = {Kostas Georgiadis and Fotis P Kalaganis and Kyriakos Riskos and Eleftheria Matta and Vangelis P Oikonomou and Ioanna Yfantidou and Dimitris Chantziaras and Kyriakos Pantouvakis and Spiros Nikolopoulos and Nikos A Laskaris and others},

doi = {https://doi.org/10.1038/s41597-023-02392-9},

year  = {2023},

date = {2023-08-03},

urldate = {2023-01-01},

journal = {Scientific Data},

volume = {10},

number = {1},

pages = {508},

publisher = {Nature Publishing Group UK London},

abstract = {Neuromarketing is a continuously evolving field that utilises neuroimaging technologies to explore consumers’ behavioural responses to specific marketing-related stimulation, and furthermore introduces novel marketing tools that could complement the traditional ones like questionnaires. In this context, the present paper introduces a multimodal Neuromarketing dataset that encompasses the data from 42 individuals who participated in an advertising brochure-browsing scenario. In more detail, participants were exposed to a series of supermarket brochures (containing various products) and instructed to select the products they intended to buy. The data collected for each individual executing this protocol included: (i) encephalographic (EEG) recordings, (ii) eye tracking (ET) recordings, (iii) questionnaire responses (demographic, profiling and product related questions), and (iv) computer mouse data. NeuMa dataset has both dynamic and multimodal nature and, due to the narrow availability of open relevant datasets, provides new and unique opportunities for researchers in the field to attempt a more holistic approach to neuromarketing.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{riek2023feedback,

title = {Feedback Related Negativity Amplitude is Greatest Following Deceptive Feedback in Autistic Adolescents},

author = {Nathan T Riek and Busra T Susam and Caitlin M Hudac and Caitlin M Conner and Murat Akcakaya and Jane Yun and Susan W White and Carla A Mazefsky and Philip A Gable},

url = {https://link.springer.com/article/10.1007/s10803-023-06038-y},

year  = {2023},

date = {2023-07-01},

urldate = {2023-01-01},

journal = {Journal of Autism and Developmental Disorders},

pages = {1–11},

publisher = {Springer},

abstract = {The purpose of this study is to investigate if feedback related negativity (FRN) can capture instantaneous elevated emotional reactivity in autistic adolescents. A measurement of elevated reactivity could allow clinicians to better support autistic individuals without the need for self-reporting or verbal conveyance. The study investigated reactivity in 46 autistic adolescents (ages 12–21 years) completing the Affective Posner Task which utilizes deceptive feedback to elicit distress presented as frustration. The FRN event-related potential (ERP) served as an instantaneous quantitative neural measurement of emotional reactivity. We compared deceptive and distressing feedback to both truthful but distressing feedback and truthful and non-distressing feedback using the FRN, response times in the successive trial, and Emotion Dysregulation Inventory (EDI) reactivity scores. Results revealed that FRN values were most negative to deceptive feedback as compared to truthful non-distressing feedback. Furthermore, distressing feedback led to faster response times in the successive trial on average. Lastly, participants with higher EDI reactivity scores had more negative FRN values for non-distressing truthful feedback compared to participants with lower reactivity scores. The FRN amplitude showed changes based on both frustration and reactivity. The findings of this investigation support using the FRN to better understand emotion regulation processes for autistic adolescents in future work. Furthermore, the change in FRN based on reactivity suggests the possible need to subgroup autistic adolescents based on reactivity and adjust interventions accordingly.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kim2023characteristic,

title = {Characteristic Behaviors of Elementary Students in a Low Attention State During Online Learning Identified Using Electroencephalography},

author = {Suhye Kim and Jung-Hwan Kim and Wooseok Hyung and Suhkyung Shin and Myoung Jin Choi and Dong Hwan Kim and Chang-Hwan Im},

doi = {10.1109/TLT.2023.3289498},

year  = {2023},

date = {2023-06-29},

urldate = {2023-01-01},

journal = {IEEE Transactions on Learning Technologies},

publisher = {IEEE},

abstract = {With the widespread application of online education platforms, the necessity for identifying learner's mental states from webcam videos is increasing as it can be potentially applied to artificial intelligence-based automatic identification of learner's states. However, the behaviors that elementary school students frequently exhibit during online learning particularly when they are in a low attention state have rarely been investigated. This study employed electroencephalography (EEG) to continuously track changes in the learner's attention state during online learning. A new EEG index reflecting elementary students' attention level was developed using an EEG dataset acquired from 30 fourth graders during a computerized d2 test of attention. Characteristic behaviors of 24 elementary students in a low attention state were then identified from the webcam videos showing their upper bodies captured during 40-minute online lectures, with the proposed EEG index being used as a reference to determine their attention level at the time. Various characteristic behaviors were identified regarding participant's mouth, head, arms, and torso. For example, opening mouth or leaning back was observed more frequently in a low attention state than in a high attention state. It is expected that the characteristic behaviors reflecting learner's low attention state would be utilized as a useful reference in developing more interactive and effective online education systems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cho2023eeg,

title = {An EEG Study on the Interior Environmental Design Elements in Promoting Healing},

author = {Ji Young Cho and Ze-Yu Wang and Yi-Kyung Hong},

url = {https://journal.khousing.or.kr/articles/xml/XeZw/},

doi = {https://doi.org/10.6107/JKHA.2023.34.3.067},

year  = {2023},

date = {2023-06-25},

urldate = {2023-01-01},

journal = {Journal of the Korean Housing Association},

volume = {34},

number = {3},

pages = {067–079},

publisher = {The Korean Housing Association},

abstract = {This study aimed to identify the attributes of environmental design elements that promote healing. Eighteen college students participated in an EEG study, and their Ratio of Alpha to Beta (RAB) was examined in relation to eight interior design stimuli consisting of different conditions of illuminance (high/low), color (green/white), and biophilia ( natural/artificial). The EEGs of the 19 channels were measured using a dry-type EEG device (DSI-24). Participants also completed a survey questionnaire, choosing the best stimuli for healing environments and for wanting to stay. The EEG data were analyzed using a Wilcoxon signed-rank test to identify statistical differences in responses to different stimuli. The main results were as follows: (1) RAB was most frequently observed in the left temporal and parietal lobes; (2) when comparing pre- and post-stimulation, significant differences were observed between background EEG and six stimuli (S1, S3, S5, S6, S7, and S8); (3) RAB tended to be high with low illuminance, white walls, and artificial biophilia; and (4) the psychological and EEG responses did not match; stimuli with high illuminance and natural biophilia were selected the most for healing and wanting to stay environments. The results indicate the necessity for studying environmental responses via both physiological and psychological aspects as they compensate for each other. and artificial biophilia; and (4) the psychological and EEG responses did not match; stimuli with high illuminance and natural biophilia were selected the most for healing and wanting to stay environments. The results indicate the necessity for studying environmental responses via both physiological and psychological aspects as they compensate for each other. and artificial biophilia; and (4) the psychological and EEG responses did not match; stimuli with high illuminance and natural biophilia were selected the most for healing and wanting to stay environments. The results indicate the necessity for studying environmental responses via both physiological and psychological aspects as they compensate for each other.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fan2023phonemic,

title = {Phonemic mismatch negativity mediates the association between phoneme awareness and character reading ability in young Chinese children},

author = {Tengwen Fan and Liming Zhang and Jianyi Liu and Yanbin Niu and Tian Hong and Wenfang Zhang and Hua Shu and Jingjing Zhao},

doi = {https://doi.org/10.1016/j.neuropsychologia.2023.108624},

year  = {2023},

date = {2023-06-15},

urldate = {2023-01-01},

journal = {Neuropsychologia},

pages = {108624},

publisher = {Elsevier},

abstract = {Poor phonological awareness is associated with greater risk for reading disability. The underlying neural mechanism of such association may lie in the brain processing of phonological information. Lower amplitude of auditory mismatch negativity (MMN) has been associated with poor phonological awareness and with the presence of reading disability. The current study recorded auditory MMN to phoneme and lexical tone contrast with odd-ball paradigm and examined whether auditory MMN mediated the associations between phonological awareness and character reading ability through a three-year longitudinal study in 78 native Mandarin-speaking kindergarten children. Hierarchical linear regression and mediation analysis showed that the effect of phoneme awareness on the character reading ability was mediated by the phonemic MMN in young Chinese children. Findings underscore the key role of phonemic MMN for the underlying neurodevelopmental mechanism linking phoneme awareness and reading ability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}