Article
Psychology, Multidisciplinary
Liyan Xu, Biye Wang, Wei Guo
Summary: Self-contribution plays an influential role in fairness consideration and behavioral decisions. This study investigated the combined effects of task difficulty and self-contribution on fairness consideration outcomes and associated neurophysiological responses. The results showed that individuals' decisions in cooperative contexts are influenced by their own effort contributions relative to those of others.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Clinical Neurology
Yifan Sun, Zixuan Huang, Xuezheng Gao, Limin Chen, Jun Wang, Zhenhe Zhou, Hongliang Zhou
Summary: In this study, the neural underpinnings of anhedonia in major depressive disorder (MDD) were explored through the examination of two event-related potential (ERP) components: feedback-related negativity (FRN) and stimulus-preceding negativity (SPN). The study found that MDD patients exhibited lower scores in anhedonia assessment and consistently reduced amplitudes of FRN and SPN compared to healthy controls. Limited correlations were observed between ERP metrics and clinical indicators, except for positive correlations between certain amplitudes and scores. The study suggests a shared impairment in reward feedback processing and anticipatory neural mechanisms in individuals with MDD.
NEUROPSYCHIATRIC DISEASE AND TREATMENT
(2023)
Article
Multidisciplinary Sciences
Huiqiao Jia, Chiuhsiang Joe Lin, Eric Min-yang Wang
Summary: This study examined the effect of mental fatigue on risk decision-making performance and risk-preference, finding that individuals with mental fatigue tended to be more risk-averse. The results provide insight into the relationship between mental fatigue and decision-making from a neurological perspective.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Cybernetics
Jiasen Li, Huiping Yao
Summary: This study utilized ERPs and sLORETA to investigate the neural activity of drug addicts in response to monetary incentives. Results showed that heroin addicts had faster reactions and exhibited abnormalities in reward-related brain regions, leading to insensitivity to potential punishments and deficits in impulsive control. These findings contribute to the understanding of the neural basis of reward anticipation and processing in drug addicts and provide implications for withdrawal treatment.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Psychology, Multidisciplinary
Ita Puusepp, Tanja Linnavalli, Milla Huuskonen, Karoliina Kukkonen, Minna Huotilainen, Teija Kujala, Sonja Laine, Elina Kuusisto, Kirsi Tirri
Summary: Neuroscientific research on mindsets, especially among children, is limited. This study focused on general intelligence and math ability mindsets and their impact on automatic reactions to negative feedback in mathematics. The findings suggest that having a higher growth mindset towards math ability is associated with specific brain responses to negative feedback, highlighting the importance of addressing academic-domain-specific beliefs in addition to general mindsets in research and practice.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Psychology, Biological
Ruth Garrido-Chaves, Mario Perez-Alarcon, Vanesa Perez, Vanesa Hidalgo, Matias M. Pulopulos, Alicia Salvador
Summary: Previous research has shown gender-related psychobiological differences in risky and competitive strategies that affect win and loss outcomes. Women were found to have greater sensitivity to losses than to wins during the decision-making task, as reflected in the FRN component, but there were no significant gender differences observed in behavioral performance, P3 component, or directly in the feedback processing stage for the FRN or P3.
Article
Physics, Multidisciplinary
Francisco J. Ruiz-Martinez, Antonio Arjona, Carlos M. Gomez
Summary: The study demonstrates the presence of MMN to deviant trials in complex auditory stimuli sequences, indicating a possible relationship to predictive coding. The appearance of an SPN during intertrial intervals, with reduced amplitude in response to deviant trials, supports the predictive coding framework.
Article
Psychology, Biological
James Glazer, Robin Nusslock
Summary: This study investigated the effects of stimulus frequency and outcome valence on event-related potentials following reward and punishment feedback. The results revealed that infrequent feedback stimuli elicited strong salience effects, while favorable outcomes increased positivity in the components studied.
Article
Multidisciplinary Sciences
Magnus Liebherr, Andrew W. Corcoran, Phillip M. Alday, Scott Coussens, Valeria Bellan, Caitlin A. Howlett, Maarten A. Immink, Mark Kohler, Matthias Schlesewsky, Ina Bornkessel-Schlesewsky
Summary: This study used a 'real-world' EEG design to investigate how attentional processing varies under increasing cognitive, motor, and environmental demands. The findings demonstrate the significant impact of environmental factors on attentional processing during simultaneously-performed motor and cognitive tasks, highlighting the value of incorporating dynamic and unpredictable contexts within naturalistic designs.
SCIENTIFIC REPORTS
(2021)
Article
Psychology, Biological
Yoshimi Ohgami, Yasunori Kotani, Nobukiyo Yoshida, Akira Kunimatsu, Shigeru Kiryu, Yusuke Inoue
Summary: This study found that auditory stimuli with different contents can affect right laterality and different components of SPN. Voice sounds enhanced early SPN and component related to language processing, while beep sounds elicited right hemisphere dominance in early SPN and components. Rhythmic sound tended to attenuate amplitude compared to other stimuli.
BIOLOGICAL PSYCHOLOGY
(2021)
Article
Clinical Neurology
Narges Moein, Reza Rostami, Reyhane Mohamadi, Reza Zomorrodi, Michael Nitsche, Amir Ostadi, Mohsen Shabani
Summary: This study investigates the correlation between stuttering severity and ERP measures, and finds differences not only between stutterers and fluent speakers, but also among different levels of stuttering severity.
JOURNAL OF CLINICAL NEUROSCIENCE
(2022)
Article
Psychology, Biological
Cameron D. Hassall, Yan Yan, Laurence T. Hunt
Summary: Feedback processing is commonly studied by analyzing the brain's response to discrete events. Recent animal work suggests that midbrain dopaminergic activity can track moment-to-moment changes in reward, but there is a debate whether this activity reflects reward prediction errors or state values. In this study, researchers developed an EEG measure of continuous feedback processing and found that scalp-recorded potentials were consistent with reward anticipation and tonic dopamine release, supporting the hypothesis that this activity is related to reward prediction errors.
Article
Behavioral Sciences
Kunying Zhang, Yuhao Li, Xi Chen, Yan Xu, Can Zhang, Jiahui Wen, Sihua Xu
Summary: This study examined the influence of money priming on outcome evaluation in decision-making under uncertainty and its related neural mechanisms. The results showed that positive outcome feedback in the money priming condition evoked greater brain response compared to the neutral priming condition, while there was no significant effect of money priming on negative outcome feedback. The study also found that individuals in the money priming condition prioritize financial gains before focusing on preventing financial losses.
Article
Multidisciplinary Sciences
Chikara Ishii, Jun'ichi Katayama
Summary: This study investigated how predictions of performance history from oneself and others interact. The results showed that the frequency of one's own action outcomes influenced the brain activity of the observer when evaluating others' outcomes, while the performance history of others did not affect the evaluation of one's own outcomes. The study demonstrates that the monitoring system separately tracks the histories of one's own and observed outcomes, considering information related to one's own action outcomes to be more important.
SCIENTIFIC REPORTS
(2022)
Article
Neurosciences
Tingting Zeng, Shida Li, Li Wu, Zuxing Feng, Xinxin Fan, Jing Yuan, Xin Wang, Junyu Meng, Huan Ma, Guanyong Zeng, Chuanyuan Kang, Jianzhong Yang
Summary: The aim of this study was to compare impulsiveness, negative emotions, cognitive function, and P300 components among different types of addicts. The results showed that GHB addicts had the highest levels of impulsiveness and the most severe impairment in cognitive function, as indicated by abnormalities in BJ-MoCA, response time, and P300 components.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Zepeng Li, Rikui Huang, Yufeng Zhang, Jianghong Zhu, Bin Hu
Summary: Knowledge Graph Embedding (KGE) has been proven effective in completing and improving the quality of knowledge graphs. Existing models have achieved success, but there is still room for improvement in dealing with complex relations. This paper proposes single-directional-flexible (sdf) and multi-directional-flexible (mdf) models to increase the flexibility and expressiveness of entity embeddings, leading to significant improvement in triplet classification and link prediction tasks.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Ariana M. Familiar, Anahita Fathi Kazerooni
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Engineering, Biomedical
Zixuan Shangguan, Zhenyu Liu, Gang Li, Qiongqiong Chen, Zhijie Ding, Bin Hu
Summary: Depression is a common mental illness and automated detection using physiological signals is urgent and important. This study proposes a weakly supervised learning approach using multiple instance learning (MIL) on videos from depressed and healthy individuals. The method achieves high accuracy and recall, surpassing previous methods and showcasing the potential of MIL for depression classification.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Biomedical
Li Zhou, Zhenyu Liu, Zixuan Shangguan, Xiaoyan Yuan, Yutong Li, Bin Hu
Summary: With the widespread popularity of the Internet, social media has become an essential tool for interaction and communication. Mental health research on social media has gained attention due to the convenience of data acquisition. Early detection of psychological disorders on social media can prevent further deterioration in at-risk individuals.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Biomedical
Jian Shen, Yanan Zhang, Huajian Liang, Zeguang Zhao, Qunxi Dong, Kun Qian, Xiaowei Zhang, Bin Hu
Summary: Depression, a severe psychiatric illness, has a significant impact on patients' thoughts, behaviors, feelings, and well-being. However, current clinical practice lacks effective methods for recognizing and treating depression. Electroencephalogram (EEG) signals, which reflect the internal workings of the brain, show promise as an objective tool for depression recognition and diagnosis. In this study, we propose a regularization parameter-based improved intrinsic feature extraction method using empirical mode decomposition (EMD) to enhance depression recognition performance.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Psychiatry
Xuexiao Shao, Danfeng Yan, Wenwen Kong, Shuting Sun, Mei Liao, Wenwen Ou, Yan Zhang, Fang Zheng, Xiaowei Li, Lingjiang Li, Bin Hu
Summary: This study assessed the effect of nitrous oxide on brain function for treatment-resistant depression (TRD) using event-related potential (ERP) components and functional connectivity networks (FCNs) methods. The results showed that nitrous oxide improved depressive symptoms better than placebo, with significant differences found in ERP components and increased brain functional connectivity after nitrous oxide treatment. These findings suggest that nitrous oxide improves depression symptoms for TRD by modifying brain function.
PSYCHIATRY RESEARCH
(2023)
Article
Geriatrics & Gerontology
Shouzi Zhang, Lixin Liu, Li Zhang, Li Ma, Haiyan Wu, Xuelin He, Meng Cao, Rui Li
Summary: This study conducted a randomized, sham-controlled clinical trial of repetitive transcranial magnetic stimulation (rTMS) in 35 moderate-to-severe Alzheimer's disease patients. The results showed that rTMS significantly improved cognitive performance, reduced psychiatric symptoms, and improved the clinician's evaluation of change. Furthermore, resting-state functional connectivity in certain brain regions was proposed as a potential neuroimaging marker for predicting treatment outcomes.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Clinical Neurology
Lin Yang, Guangyao Liu, Shan Li, Chaofan Yao, Ziyang Zhao, Nan Chen, Pengfei Zhang, Yingying Shang, Yin Wang, Dekui Zhang, Xiaozhu Tian, Jing Zhang, Zhijun Yao, Bin Hu
Summary: This study aimed to explore abnormalities in brain-gut-microbiome (BGM) interactions in irritable bowel syndrome (IBS). The findings revealed four different dynamic functional states in IBS patients, with abnormal temporal properties observed in one of the states (State 4). Additionally, there was an association between IBS-related gut microbiota and functional connectivity variability. These findings provide new insights into the dysconnectivity hypothesis in IBS and establish a basis for future research on disrupted BGM interactions.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Neurosciences
Zhaoning Li, Qunxi Dong, Bin Hu, Haiyan Wu
Summary: Mentalising ability, which involves understanding others' beliefs, feelings, intentions, thoughts, and traits, is a crucial aspect of human social cognition. However, there has been limited research on individual differences in different components of mentalising ability and how these differences are related to the structural and functional patterns of the amygdala and hippocampus. In this study, the authors used inter-subject representational similarity analysis (IS-RSA) to examine the relationships between amygdala and hippocampal morphometry, connectivity, and mentalising ability. They found significant correlations between these three modalities, highlighting the unique patterns of brain morphometry, connectivity, and mentalising ability. Additionally, they discovered a region-specific association, with hippocampus being more related to self-self and self-other mentalisation, while the amygdala showed a closer link with other-self mentalisation. The findings suggest that IS-RSA can be a valuable tool for studying individual differences in mentalising abilities and enhancing our understanding of how individual brains contribute to these abilities.
HUMAN BRAIN MAPPING
(2023)
Article
Biochemical Research Methods
Xiangbin Lin, Weizhuang Kong, Jianxiu Li, Xuexiao Shao, Changting Jiang, Ruilan Yu, Xiaowei Li, Bin Hu
Summary: This study analyzed the abnormal topology and changes in functional connectivity network (FCN) of depression using both static and dynamic methods. The results showed increased clustering coefficient and local efficiency, decreased characteristic path length and global efficiency in depression. Depressed patients had reduced connectivity in most resting state networks (RSNs) but increased connectivity in the default mode network, and there was a decoupling phenomenon between different RSNs. This research provides a deeper understanding of the neurophysiological mechanisms of depression and potential biomarkers for clinical diagnosis.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2023)
Article
Computer Science, Cybernetics
Fei-Yue Wang, Juanjuan Li, Rui Qin, Jing Zhu, Hong Mo, Bin Hu
Summary: The second issue of the IEEE Transactions on Computational Social Systems (TCSS) for 2023 has been released, with a record high CiteScore of 9.6, according to Elsevier Scopus's latest update on February 5, 2023. Many thanks to everyone for their hard work and support.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Huayu Chen, Shuting Sun, Jianxiu Li, Ruilan Yu, Nan Li, Xiaowei Li, Bin Hu
Summary: In this study, the individual differences in EEG were analyzed and a Personal-Zscore feature processing method was proposed to improve the accuracy and robustness of emotion recognition models. The findings are of great significance for the universal implementation of EEG-based applications.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Fuze Tian, Lixian Zhu, Qiuxia Shi, Xiaokun Jin, Ran Cai, Qunxi Dong, Qinglin Zhao, Bin Hu
Summary: This article introduces a challenge in noncontact presentation of human cardiopulmonary activity using a bioradar sensor, which is to linearly demodulate the Doppler cardiopulmonary diagram (DCD) signal from baseband signals. A fast Fourier transform (FFT)-based algorithm is proposed to compensate for time-varying DC offset and correct I/Q imbalance, improving the accuracy of arctangent demodulation.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2023)
Article
Computer Science, Artificial Intelligence
Hongmin Cai, Xiaoqi Sheng, Guorong Wu, Bin Hu, Yiu-Ming Cheung, Jiazhou Chen
Summary: There is increasing evidence that Alzheimer's disease (AD) disrupts the brain network before clinical symptoms appear, allowing for early diagnosis. The current methods of analyzing brain networks treat the high-dimensional data as regular matrices or vectors, which leads to a loss of essential network topology and affects diagnosis accuracy. To address this issue, this article proposes a network manifold harmonic discriminant analysis (MHDA) method for accurately detecting AD. The effectiveness of the proposed method in stratifying cognitively normal controls, mild cognitive impairment, and AD is demonstrated through extensive experiments.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Optics
Naeem Ullah, Ata Ur Rahman Khalid, Shehzad Ahmed, Shahid Iqbal, Muhammad Ismail Khan, Majeed Ur Rehman, Andleeb Mehmood, Bin Hu, Xiaoqing Tian
Summary: Active metasurfaces, specifically adjustable metalenses and intensity-tunable metalenses in the visible frequency regime, have been developed using hydrogel with hydrophilic and hydrophobic properties. The focal length of the metalenses can be continuously adjusted by controlling the phase transition of the hydrogel, and the devices exhibit diffraction-limited performance. Furthermore, the versatility of hydrogel-based metasurfaces is demonstrated by designing intensity-tunable metalenses capable of dynamically adjusting transmission intensity and confining it to the same focal spot under different states. The non-toxicity and biocompatibility of hydrogel-based active metasurfaces make them suitable for various applications in biomedical imaging, sensing, and encryption systems.