Brain Science Advances最新文献_第4页

Overview of the winning approaches in BCI Controlled Robot Contest in World Robot Contest 2021: Calibration-free SSVEP 2021年世界机器人大赛:无校准SSVEP中BCI控制机器人比赛获胜方法概述

Brain Science Advances Pub Date : 2022-06-01 DOI: 10.26599/BSA.2022.9050002

Rui Bian, Dongrui Wu

引用次数: 3

An improved EEGNet for single-trial EEG classification in rapid serial visual presentation task 一种改进的EEGNet用于快速序列视觉呈现任务中的单次试验EEG分类

Brain Science Advances Pub Date : 2022-06-01 DOI: 10.26599/BSA.2022.9050007

Hongfei Zhang, Zehui Wang, Yinhu Yu, Haojun Yin, Chuangquan Chen, Hongtao Wang

{"title":"An improved EEGNet for single-trial EEG classification in rapid serial visual presentation task","authors":"Hongfei Zhang, Zehui Wang, Yinhu Yu, Haojun Yin, Chuangquan Chen, Hongtao Wang","doi":"10.26599/BSA.2022.9050007","DOIUrl":"https://doi.org/10.26599/BSA.2022.9050007","url":null,"abstract":"As a new type of brain–computer interface (BCI), the rapid serial visual presentation (RSVP) paradigm has attracted significant attention. The mechanism of RSVP is detecting the P300 component corresponding to the target image to realize fast and correct recognition. This paper proposed an improved EEGNet model to achieve good performance in offline and online data. Specifically, the data were filtered by xDAWN to enhance the signal-to-noise ratio of the electroencephalogram (EEG) signals. The focal loss function was used instead of the cross-entropy loss function to solve the classification problems of unbalanced samples. Additionally, the subject-specific data were fed to the improved EEGNet model to obtain a subject-specific model. We applied the proposed model at the BCI Controlled Robot Contest in World Robot Contest 2021 and won the second place. The average recall rate of the four participants reached 51.56% in triple classification. In the offline data benchmark dataset (64 subjects-RSVP tasks), the average recall rates of groups A and B reached 76.07% and 78.11%, respectively. We provided an alternative method to identify targets based on the RSVP paradigm.","PeriodicalId":67062,"journal":{"name":"Brain Science Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49375963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Review of training-free event-related potential classification approaches in the World Robot Contest 2021 2021年世界机器人大赛中与事件相关的无训练分类方法综述

Brain Science Advances Pub Date : 2022-06-01 DOI: 10.26599/BSA.2022.9050001

Huanyu Wu, Dongrui Wu

引用次数: 2

Algorithm Contest of Calibration-free Motor Imagery BCI in the BCI Controlled Robot Contest in World Robot Contest 2021: A survey 2021年世界机器人大赛脑机接口控制机器人大赛无标定运动图像脑机接口算法竞赛：调查

Brain Science Advances Pub Date : 2022-06-01 DOI: 10.26599/BSA.2022.9050011

Jing Luo, Qi Mao, Yaojie Wang, Zhenghao Shi, X. Hei

{"title":"Algorithm Contest of Calibration-free Motor Imagery BCI in the BCI Controlled Robot Contest in World Robot Contest 2021: A survey","authors":"Jing Luo, Qi Mao, Yaojie Wang, Zhenghao Shi, X. Hei","doi":"10.26599/BSA.2022.9050011","DOIUrl":"https://doi.org/10.26599/BSA.2022.9050011","url":null,"abstract":"Objective: From September 10 to 13, 2021, the finals of the BCI Controlled Robot Contest in World Robot Contest 2021 were held in Beijing, China. Eleven teams participated in the Algorithm Contest of Calibration-free Motor Imagery BCI. The participants employed both traditional electroencephalograph (EEG) analysis methods and deep learning-based methods in the contest. In this paper, we reviewed the algorithms utilized by the participants, extracted the trends and highlighted interesting approaches from these methods to inform future contests and research recommendations. Method: First, we analyzed the algorithms in separate steps, including EEG channel and signal segment setup, prepossessing technology, and classification model. Then, we emphasized the highlights of each algorithm. Finally, we compared the competition algorithm with the SOTA algorithm. Results: The algorithm employed in the finals performed better than that of the SOTA algorithm. During the final stage of the contest, four of the top five teams used convolutional neural network models, suggesting that with the rapid development of deep learning, convolutional neural network-based models have been the most popular methods in the field of motor imagery BCI.","PeriodicalId":67062,"journal":{"name":"Brain Science Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46129926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A solution to supervised motor imagery task in the BCI Controlled Robot Contest in World Robot Contest 世界机器人大赛BCI控制机器人比赛中监督运动图像任务的解决方案

Brain Science Advances Pub Date : 2022-06-01 DOI: 10.26599/BSA.2022.9050014

Huixing Gou, Yi Piao, Jiecheng Ren, Qian Zhao, Yijun Chen, Chang Liu, Wei Hong, Xiaochu Zhang

引用次数: 1

Ongoing pain facilitates emotional decision-making behaviors 持续的疼痛会促进情绪化的决策行为

Brain Science Advances Pub Date : 2022-03-01 DOI: 10.26599/BSA.2022.9050005

Chennan Lin, Shiwei Zhuo, W. Peng

{"title":"Ongoing pain facilitates emotional decision-making behaviors","authors":"Chennan Lin, Shiwei Zhuo, W. Peng","doi":"10.26599/BSA.2022.9050005","DOIUrl":"https://doi.org/10.26599/BSA.2022.9050005","url":null,"abstract":"Emotion toward anticipated and actual outcomes acts as a vital signal on emotional decision-making, and the Iowa Gambling Task (IGT) can mimic this decision-making process. Pain can impair emotional decision-making behaviors because it captures attention and distracts from the task at hand. Alternatively, pain may facilitate emotional decision-making behaviors by prompting alertness and mobilizing cognitive resources to maximize rewards. The present study investigated the influence of ongoing pain on emotional decision-making behaviors using the IGT. Our study recruited two groups of participants and applied capsaicin (pain group) or control cream (control group) to their forearms. We then compared performances and selections between the pain and control groups. The results revealed that participants successfully learned the required adaptive selection strategy as the task progressed. The study observed a tendency toward optimal choices for both groups under the condition of frequent–small losses. However, we observed a disadvantageous preference for the control group, but not the pain group, when faced with choices with infrequent but large losses. The study implies that a distressing pain experience motivates individuals to adjust goal-directed behaviors to maximize their rewards in a task. Thus, the finding suggests that ongoing pain facilitates emotional decision-making behaviors.","PeriodicalId":67062,"journal":{"name":"Brain Science Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43252469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Prenatal bisphenol A exposure impairs the aversive and spatial memory reduces the level of NMDA receptor subunits in the hippocampus of male Sprague Dawley rats 产前双酚A暴露损害雄性Sprague-Dawley大鼠的厌恶性和空间记忆降低海马NMDA受体亚基水平

Brain Science Advances Pub Date : 2022-03-01 DOI: 10.26599/BSA.2022.9050009

Norazirah Mat Nayan, A. Husin, S. Kadir, Che Badariah Abdul Aziz, M. Mazlan, R. Siran

{"title":"Prenatal bisphenol A exposure impairs the aversive and spatial memory reduces the level of NMDA receptor subunits in the hippocampus of male Sprague Dawley rats","authors":"Norazirah Mat Nayan, A. Husin, S. Kadir, Che Badariah Abdul Aziz, M. Mazlan, R. Siran","doi":"10.26599/BSA.2022.9050009","DOIUrl":"https://doi.org/10.26599/BSA.2022.9050009","url":null,"abstract":"Memory impairment in children is an ongoing issue worldwide related to a learning disability. This neurobiological condition has been suggested to associate with bisphenol A (BPA) exposure during pregnancy. BPA is an inorganic compound used to produce polycarbonate plastics and epoxy resins. We conduct this study to investigate the effects of prenatal BPA exposure on the level of the N-methyl-D-aspartate (NMDA) receptor subunits, synaptic markers of the hippocampus and neurobehavioral outcomes in rats. The pregnant rats were given a daily dose of 5 mg/kg and 50 mg/kg of BPA with 0.5% Tween 80 orally from gestation day 2 until 21 (GD21). The level of GluN2A, GluN2B, PSD-95 and synapsin I in the hippocampus and its neurobehaviour outcomes were quantified and evaluated in the male foetus and adolescent rat. Prenatal BPA exposure reduced GluN2A, GluN2B, synapsin I and PSD-95 (Postsynaptic Density-95) in the male foetus and adolescent rat hippocampus compared to the control group. The prenatal BPA exposed rats demonstrated anxiety-related behaviour and impairment in aversive and spatial memory. The findings suggested that the impairment in neurobehavioral performance may inhibit the signalling pathway in the NMDA receptor subunits in the male foetus rat hippocampus leading to learning and memory deficits when reaching adolescence.","PeriodicalId":67062,"journal":{"name":"Brain Science Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43482734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Functions of Yes-association protein (YAP) in cancer progression and anticancer therapy resistance yes相关蛋白(YAP)在癌症进展和抗癌治疗耐药中的作用

Brain Science Advances Pub Date : 2022-03-01 DOI: 10.26599/BSA.2022.9050008

Yu Zhang, Xiang Wang, Xiuping Zhou

引用次数: 3

Co-immunolocalization of Disc1 and Gas7 protein in adult mice brain Disc1和Gas7蛋白在成年小鼠脑内的共免疫定位

Brain Science Advances Pub Date : 2022-03-01 DOI: 10.26599/BSA.2022.9050010

Udaya Kumar

引用次数: 2

Effect of background luminance of visual stimulus on elicited steady-state visual evoked potentials 视觉刺激背景亮度对诱发稳态视觉诱发电位的影响

Brain Science Advances Pub Date : 2022-03-01 DOI: 10.26599/BSA.2022.9050006

Shangen Zhang, Xiaogang Chen

{"title":"Effect of background luminance of visual stimulus on elicited steady-state visual evoked potentials","authors":"Shangen Zhang, Xiaogang Chen","doi":"10.26599/BSA.2022.9050006","DOIUrl":"https://doi.org/10.26599/BSA.2022.9050006","url":null,"abstract":"Steady-state visual evoked potential (SSVEP)-based brain– computer interfaces (BCIs) have been widely studied. Considerable progress has been made in the aspects of stimulus coding, electroencephalogram processing, and recognition algorithms to enhance system performance. The properties of SSVEP have been demonstrated to be highly sensitive to stimulus luminance. However, thus far, there have been very few reports on the impact of background luminance on the system performance of SSVEP-based BCIs. This study investigated the impact of stimulus background luminance on SSVEPs. Specifically, this study compared two types of background luminance, i.e., (1) black luminance [red, green, blue (rgb): (0, 0, 0)] and (2) gray luminance [rgb: (128, 128, 128)], and determined their effect on the classification performance of SSVEPs at the stimulus frequencies of 9, 11, 13, and 15 Hz. The offline results from nine healthy subjects showed that compared with the gray background luminance, the black background luminance induced larger SSVEP amplitude and larger signal-to-noise ratio, resulting in a better classification accuracy. These results suggest that the background luminance of visual stimulus has a considerable effect on the SSVEP and therefore has a potential to improve the BCI performance.","PeriodicalId":67062,"journal":{"name":"Brain Science Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46188025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4