Yuqin Li

University of Electronic Science and Technology of China

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Fali Li

University of Electronic Science and Technology of China

Peng Xu

University of Electronic Science and Technology of China

Dezhong Yao

University of Electronic Science and Technology of China

Lin Jiang

First People’s Hospital of Zunyi

Baodan Chen

Guangzhou Institutes of Biomedicine and Health

Yueheng Peng

University of Electronic Science and Technology of China

Xunan Huang

University of Electronic Science and Technology of China

Xiabing Zhang

Chengdu University of Traditional Chinese Medicine

Yajing Si

Xinxiang Medical University

Dezhong Yao

University of Electronic Science and Technology of China

Cooperative Institutions

University of Electronic Science and Technology of China

Chinese Academy of Sciences

Chinese Academy of Medical Sciences & Peking Union Medical College

Peking University

Xinxiang Medical University

Sichuan University

Zhejiang University

Shanghai Jiao Tong University

Central South University

Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital

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Central-Peripheral Nervous System Activation in Exoskeleton Modes: A Granger Causality Analysis via EEG-EMG Fusion

Expert Systems with Applications (2025)

Xiabing Zhang Yuqin Li Pengfei Zhang Dexian Wang Guang Yao

Causality

10.1016/j.eswa.2024.126311

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Citations (0)

Altered dynamic network interactions in children with ASD during face recognition revealed by time-varying EEG networks

Research Square (Research Square) (2023)

Baodan Chen Lin Jiang Guoqing Lu Yuqin Li Shu Zhang

Abstract Background: Although the electrophysiological event-related potential (ERP) in face processing (e.g., N170) is widely accepted as a face-sensitivity biomarker that is deficient in children with autism spectrum disorders (ASD), the time-varying brain networks during face recognition are still awaiting further investigation. Methods: To explore the social deficits in ASD, especially the time-varying brain networks during face recognition, the current study analyzed the N170, cortical activity, and time-varying networks under three tasks (face-upright, face-inverted, and house-upright) in ASD and typically developing (TD) children. Results: The results revealed a smaller N170 amplitude in ASD compared with TD, along with decreased cortical activity mainly in occipitotemporal areas. Concerning the time-varying networks, the atypically stronger information flow and brain network connections across frontal, parietal, and temporal regions in ASD were reported, which reveals greater effort was exerted by ASD to obtain comparable performance to the TD children, although the amplitude of N170 was still smaller than that of the TD children. Conclusion: Different brain activation states and interaction patterns of brain regions during face-processing were discovered between ASD and TD. These findings shed light on the face-processing mechanisms in children with ASD and provide new insight for understanding the social dysfunction of ASD.

Typically developing

10.21203/rs.3.rs-2671570/v1

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Auditory Dominance in Processing Chinese Semantic Abnormalities in Response to Competing Audio-visual Stimuli

Neuroscience (2022)

Changfu Pei Xunan Huang Yuqin Li Baodan Chen Bin Lü

Audio visual

Modalities

Modality (human–computer interaction)

10.1016/j.neuroscience.2022.08.017

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<p>Sad Music Modulates Pain Perception: An EEG Study</p>

Journal of Pain Research (2020)

Sijia Guo Jing Lu Yufang Wang Yuqin Li Binxin Huang

Music has shown positive effects on pain management in previous studies. However, the relationship between musical emotional types and therapeutic effects remains unclear. To investigate this issue, this study tested three typical emotional types of music and discussed their neural mechanisms in relation to pain modulation.In this experiment, 40 participants were exposed to cold pain under four conditions: listening to happy music, listening to neutral music, listening to sad music and no sound. EEG and pain thresholds were recorded. The participants were divided into the remission group and the nonremission group for analysis. Differences among conditions were quantified by the duration of exposure to the pain-inducing stimulus in the remission group. EEG data were obtained using a fast Fourier transform (FFT) and then correlated with the behavioral data.We found that sad music had a significantly better effect on alleviating pain, as a result of brain oscillations in a higher beta band and the gamma band at the O2 and P4 electrodes. The comparison between the remission group and the nonremission group suggested that personality may affect music-induced analgesia, and dominance, liveliness and introvert and extrovert personality traits were associated with pain modulation by sad music. Additionally, in the network analysis, we compared brain networks under the three conditions and discussed the possible mechanisms underlying the better analgesic effect of sad music.Sad music may have a better effect on alleviating pain, and its neural mechanisms are also discussed. This work may help understand the effects of music on pain modulation, which also has potential value for clinical use.

Music Therapy

Stimulus (psychology)

10.2147/jpr.s264188

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Citations (11)

Resting-state network predicts the decision-making behaviors of the proposer during the ultimatum game

Journal of Neural Engineering (2023)

Yuqin Li Qian Yang Y. Liu Rui Wang Yutong Zheng

Objective. The decision-making behavior of the proposer is a key factor in achieving effective and equitable maintenance of social resources, particularly in economic interactions, and thus understanding the neurocognitive basis of the proposer's decision-making is a crucial issue. Yet the neural substrate of the proposer's decision behavior, especially from the resting-state network perspective, remains unclear.Approach. In this study, we investigated the relationship between the resting-state network and decision proposals and further established a multivariable model to predict the proposers' unfair offer rates in the ultimatum game.Main results.The results indicated the unfair offer rates of proposers are significantly related to the resting-state frontal-occipital and frontal-parietal connectivity in the delta band, as well as the network properties. And compared to the conservative decision group (low unfair offer rate), the risk decision group (high unfair offer rate) exhibited stronger resting-state long-range linkages. Finally, the established multivariable model did accurately predict the unfair offer rates of the proposers, along with a correlation coefficient of 0.466 between the actual and predicted behaviors.Significance. Together, these findings demonstrated that related resting-state frontal-occipital and frontal-parietal connectivity may serve as a dispositional indicator of the risky behaviors for the proposers and subsequently predict a highly complex decision-making behavior, which contributed to the development of artificial intelligence decision-making system with biological characteristics as well.

Ultimatum game

Neurocognitive

10.1088/1741-2552/acf61e

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Citations (2)

Discrimination of auditory verbal hallucination in schizophrenia based on EEG brain networks

Psychiatry Research Neuroimaging (2023)

Jiuju Wang Wentian Dong Yuqin Li Taeko N. Wydell Wenxiang Quan

Oddball paradigm

10.1016/j.pscychresns.2023.111632

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Citations (2)

The dynamic causality brain network reflects whether the working memory is solidified

Cerebral Cortex (2023)

Chunli Chen Yi Liang Shiyun Xu Chanlin Yi Yuqin Li

Working memory, which is foundational to higher cognitive function, is the "sketchpad of volitional control." Successful working memory is the inevitable outcome of the individual's active control and manipulation of thoughts and turning them into internal goals during which the causal brain processes information in real time. However, little is known about the dynamic causality among distributed brain regions behind thought control that underpins successful working memory. In our present study, given that correct responses and incorrect ones did not differ in either contralateral delay activity or alpha suppression, further rooting on the high-temporal-resolution EEG time-varying directed network analysis, we revealed that successful working memory depended on both much stronger top-down connections from the frontal to the temporal lobe and bottom-up linkages from the occipital to the temporal lobe, during the early maintenance period, as well as top-down flows from the frontal lobe to the central areas as the delay behavior approached. Additionally, the correlation between behavioral performance and casual interactions increased over time, especially as memory-guided delayed behavior approached. Notably, when using the network metrics as features, time-resolved multiple linear regression of overall behavioral accuracy was exactly achieved as delayed behavior approached. These results indicate that accurate memory depends on dynamic switching of causal network connections and shifting to more task-related patterns during which the appropriate intervention may help enhance memory.

Association (psychology)

Causality

Frontal lobe

10.1093/cercor/bhad467

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[Relationship between impulse noise and continuous noise inducing hearing loss by dosimeter measurement in working populations].

Yiming Zhao Shan-song Chen Xiaoru Cheng Yuqin Li

To compare the dose-response relationship differences between impulse noise exposure workers and continuous noise exposure workers in prevalence of noise inducing hearing loss using dosimeter measurement.Thirty-two mechanical workers in a workshop were selected as impulse noise group and 163 textile workers in a textile factory as continuous noise group. SH-126 dosimeter was used to measure A weighted equal sound level of eight hours (L(Aeq.8 h)) during full working duration with equal energy rule for the selected workers. The cumulative noise exposure (CNE) was calculated by L(Aeq.8 h) and noise working years with equal energy rule for each worker. Hearing thresholds were measured by audiometer by routine method and adjusted by age and gender with GBZ49 - 2002. Hearing loss was diagnosed by GBZ49 - 2002 for each worker.CNE of impulse noise group [(103.2 +/- 4.2) dB (A) .year] was found lower than the continuous noise group [(110.6 +/- 6.0) dB (A) .year] by significance, P < 0.05. The hearing loss prevalence of impulse noise group (68.8%) was similar as continuous noise group (65%) without significance, P > 0.05. Strata analysis showed the hearing loss prevalence in 100 - 104 dB (A) .year and 105 - 109 dB (A) .year of impulse noise group was double than that of continuous noise group (76.9%, 90.9% vs 30.4%, 50.0%), P < 0.05. The chi-square test showed a relationship between CNE and hearing loss prevalence that was in high significance (P < 0.01) in both impulse noise group and continuous noise group. Logistic regression model showed the dose-response relationship curve of impulse noise group was left shift and sharp slope.The damage of impulse noise on hearing loss was much more than that of continuous noise according to equal energy rule of dosimeter data.

Impulse noise

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Citations (3)

Chaos and Complexity Analysis of a Discrete Permanent-Magnet Synchronous Motor System

Complexity (2018)

Jie Ran Yuqin Li Changchun Wang

In this paper, a spectral entropy algorithm has been used successfully for complexity measure of a discrete permanent‐magnet synchronous motor (PMSM) system. Firstly, the discrete PMSM system is achieved using the forward Euler scheme. Secondly, by adopting the bifurcation diagram, phase portraits, 0‐1 test, and largest Lyapunov exponent, the chaotic dynamics of the discrete PMSM system are analyzed. The complexity of the discrete PMSM system is discussed by employing the spectral entropy algorithm. It shows that the spectral entropy complexity analysis is an efficient tool to study chaotic dynamics. Finally, we illustrate this result through numerical experiments.

Phase portrait

Approximate entropy

10.1155/2018/7961214

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Citations (10)

The Time-varying Networks of the Wrist Extension in Post-stroke Hemiplegic Patients

Research Square (Research Square) (2020)

Fali Li Lin Jiang Yuqin Li Dongfeng Huang Yuanling Jiang

Abstract Background: Hemiplegia is a common dysfunction caused by a stroke and leads to movement disability. Although the movement-related oscillation, the lateralization of the movement-related potential, and the event-related desynchronization have been investigated, the dynamic network modalities related to the movements in post-stroke hemiplegic patients are still left unveiled. Methods: In our present study, we designed the motor execution task of the wrist extension, collected the movement-related electroencephalograms, and adopted the adaptive directed transfer function to investigate the dynamic motor networks in post-stroke hemiplegic patients. The corresponding time-varying networks of the wrist extension in post-stroke hemiplegic patients were constructed and then statistically explored. Results: The results demonstrated that the effective connectivity between the stroked motor area and other areas decreased. In contrast, connectivity between non-stroked motor area and other areas was enhanced, especially the frontal and parietal-occipital lobes, to compensate for the dysfunction of the motor behaviors of the stroked patients. Conclusions: These findings help us better understand the time-varying networks underlying the implementation of the motor behaviors of the patients with post-stroke hemiplegia and might provide a reliable biomarker to predict their future rehabilitation.

Stroke

Modalities

10.21203/rs.3.rs-97653/v1

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Citations (1)