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IEEE International Symposium on Applications of Ferroelectrics (ISAF)

作者： Xue Wang Chen Zhang Guowei Chen Jia He Mingyu Li Feng He Hao Zhang Minpeng Xu Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China School of Biomedical Engineering and Technology Tianjin Medical University Tianjin China Haihe Laboratory of Brain -Computer Interaction and Human-Machine Integration Tianjin China

ISBN: (数字)9798350371901

ISBN: (纸本)9798350371918

Acoustoelectric imaging (AEI) combines electroencephalography (EEG) and transcranial focused ultrasound (tFUS) with the advantages of high temporal and spatial resolution, which is expected to provide safe, accurate and non-invasive neurofunctional imaging of the brain. Previous AEI studies were mainly based on isotropic homogeneous media, but the actual skull and brain white matter show anisotropic resistivity distributions, making it difficult for isotropic media to mimic the imaging results of real brain tissue. In this study, a multi-source AEI dipole localisation and decoding platform was established based on a 128-array ultrasound phase-controlled transducer. Using a phantom of imitation brain tissue and an isolated porcine brain tissue as experimental materials, the discharged dipole was raster scanned by focused ultrasound, and the acoustoelectric (AE) signals were decoded and analysed using an envelope decoding algorithm. The results show that the decoding and localisation of AE signals based on the anisotropic phantom was achieved, with a localisation error of less than 0.6 mm, a localisation signal-to-noise ratio (SNR) of at least 18.17 dB, a decoding half-peak width of at least 0.21 mm, and a decoding accuracy of 0.87. This study will further promote the development of AEI in the field of neuroimaging.

关键词： Neuroimaging brain Ultrasonic imaging Imaging Phantoms Anisotropic Media Electroencephalography Decoding Signal to noise ratio

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Eeg-Based Evaluation of Individual Preferences for Diesel Engine Sound Quality

SSRN

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SSRN 2024年

作者： Guo, Mingkun Han, Siyang Liu, Hongxing Bai, Yanru Lin, Jiewei Ni, Guangjian Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Beijing Shijitan Hospital Capital Medical University Beijing China Haihe Laboratory of Brain-computer Interaction and Human-machine Integration Tianjin China State Key Laboratory of Engines Tianjin University Tianjin China

Diesel engines are prevalent in industrial settings and everyday life, but their high compression rates often result in significant noise emissions. Studies have shown that prolonged exposure to such noise can lead to negative emotional states and health issues. Traditional evaluations of sound quality, which typically rely on subjective and objective assessments, often reflect the preferences of the general population and psychoacoustic perceptions, respectively. However, these evaluations fail to account for the physiological processes involved in sound perception adequately. Electroencephalogram (EEG) signals can provide insights into the brain's physiological responses to external stimuli. This paper proposes an EEG-based method for evaluating sound quality and understanding individual sound quality preferences. EEG signals were collected while participants evaluated diesel engine noise samples. The subjective and psychoacoustic annoyance of the noise samples was analyzed, and EEG features were extracted. The correlation between EEG features and subjective and objective annoyance confirms the feasibility of the proposed method. © 2024, The Authors. All rights reserved.

关键词： Electroencephalography

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Eeg-Based Evaluation of Individual Preferences for Diesel Engine Noise Sound Quality

SSRN

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SSRN 2024年

Diesel engines are prevalent in industrial settings and everyday life, but their high compression rates often result in significant noise emissions. Studies have shown that prolonged exposure to such noise can lead to negative emotional states and health issues. Traditional evaluations of sound quality, which typically rely on subjective and objective assessments, often reflect the preferences of the general population and psychoacoustic perceptions, respectively. However, these evaluations fail to account for the physiological processes involved in sound perception adequately. Electroencephalogram (EEG) signals can provide insights into the brain physiological responses to external stimuli. This paper proposes an EEG-based method for evaluating the sound quality of diesel engine noise and understanding individual sound quality preferences. EEG signals were collected while participants evaluated diesel engine noise samples. The subjective and psychoacoustic annoyance of the noise samples was analyzed, and EEG features were extracted. The correlation between EEG features and subjective and objective annoyance confirms the feasibility of the proposed method. © 2024, The Authors. All rights reserved.

关键词： Electroencephalography

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Study on the Temporal Patterns of CA1 Pyramidal Neuron Activity in Mice Hippocampus under Simulated Spaceflight Composite Environment

Study on the Temporal Patterns of CA1 Pyramidal Neuron Activ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Shufan Sun Jing Ren Meiling Zhao Ling Wang Chenguang Zheng Jiajia Yang Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Brain-Computer Interaction and Human-Machine Fusion Haihe Laboratory Tianjin University Tianjin China Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin University Tianjin China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

With the gradual realization of manned spaceflight goals, the physical and mental health of astronauts has become a core concern. Numerous studies in recent years have indicated that the aerospace special environment (ASE) can lead to alterations in astronaut cognitive function. However, the adaptive changes in neuronal activity underlying these alterations remain unclear. This study utilized animal models and two-photon imaging technology to investigate the adaptive changes in the activity characteristics and synchronicity of pyramidal neurons in the CA1 region of the mice hippocampus under simulated spaceflight composite environment (SSCE). The results indicate that, with prolonged modeling time, the number of active pyramidal neurons in the CA1 region gradually decreases. Significant reductions in both the frequency and amplitude of neuronal calcium transients occur, stabilizing at lower levels. The calcium transient decay constant extends, and significant decorrelation in neuronal calcium activity is observed. Thus, we posit that these changes may constitute crucial factors leading to the alterations in individual cognitive function induced by the aerospace special environment.

关键词： Adaptation models Calcium Neurons Neural networks Mental health Information processing Mice Decorrelation Transient analysis Hippocampus

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Temporal aware Mixed Attention-based Convolution and Transformer Network for cross-subject EEG emotion recognition

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computers in Biology and Medicine 2024年 181卷 108973-108973页

作者： Si, Xiaopeng Huang, Dong Liang, Zhen Sun, Yulin Huang, He Liu, Qile Yang, Zhuobin Ming, Dong Academy of Medical Engineering and Translational Medicine State Key Laboratory of Advanced Medical Materials and Devices Haihe Laboratory of Brain-computer Interaction and Human-machine Integration Tianjin Key Laboratory of Brain Science and Neural Engineering Institute of Applied Psychology Tianjin University Tianjin300072 China School of Biomedical Engineering Medical School Shenzhen University Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging Shenzhen518060 China

Emotion recognition is crucial for human–computer interaction, and electroencephalography (EEG) stands out as a valuable tool for capturing and reflecting human emotions. In this study, we propose a hierarchical hybrid model called Mixed Attention-based Convolution and Transformer Network (MACTN). This model is designed to collectively capture both local and global temporal information and is inspired by insights from neuroscientific research on the temporal dynamics of emotions. First, we introduce depth-wise temporal convolution and separable convolution to extract local temporal features. Then, a self-attention-based transformer is used to integrate the sparse global emotional features. Besides, channel attention mechanism is designed to identify the most task-relevant channels, facilitating the capture of relationships between different channels and emotional states. Extensive experiments are conducted on three public datasets under both offline and online evaluation modes. In the multi-class cross-subject online evaluation using the THU-EP dataset, MACTN demonstrates an approximate 8% enhancement in 9-class emotion recognition accuracy in comparison to state-of-the-art methods. In the multi-class cross-subject offline evaluation using the DEAP and SEED datasets, a comparable performance is achieved solely based on the raw EEG signals, without the need for prior knowledge or transfer learning during the feature extraction and learning process. Furthermore, ablation studies have shown that integrating self-attention and channel-attention mechanisms improves classification performance. This method won the Emotional BCI Competition's final championship in the World Robot Contest. The source code is available at https://***/ThreePoundUniverse/MACTN. © 2024 Elsevier Ltd

关键词： Emotion Recognition

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Low intensity focused ultrasound stimulation targeted on M1 ameliorates neuroinflammation in hemi-parkinsonian rats

Low intensity focused ultrasound stimulation targeted on M1 ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Chunchan Li Tianyi Sun Rong Liang Zihui Yang Weifan Yang Wanzhe Li Yiwei Yin Guanglu Zhang Ling Wang Jiajia Yang Feng He Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Brain-Computer Interaction and Human-Machine Fusion Haihe Laboratory Tianjin University Tianjin China Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin University Tianjin China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Objective: Low intensity focused stimulation (LIFUS) has been proved to improve motor function in Parkinson’s disease (PD) animal modules. The aim of this study is to investigate whether LIFUS target on the primary motor cortex (M1) can improve motor deficit in the PD rats. Methods: The PD rat model was induced by injection of 6-hydroxydopamine (6-OHDA) in the medial forebrain bundle (MFB). Two weeks after the injection, LIFUS was used on PD rats for two weeks. Behavioral tests were performed including open field test and rotarod test to examine the motor ability of the rats. The activity of microglia and astrocyte were tested to evaluate the inflammation level in the brain. The tyrosine hydroxylase (TH) staining was done to detect the recovery of dopaminergic (DA) neurons in the substantia nigra (SN) and DA fibers in the striatum (STR). Results: LIFUS treatment decreased the resting time in OFT(p<0.05) and increased the latency to falls in the rotarod test(p<0.05) compared with the untreated PD rats. Moreover, LIFUS reduced the inflammation response reflected in microglia and astrocyte activation. Additionally, TH-immunoreactive fibers increased in the STR after LIFUS. Conclusion: These findings demonstrated that LIPUS targeted on M1 can inhibit neuroinflammation and improve movement disorders of PD rats. Significance: This study provides a new therapeutic strategy for further clinical application in PD.

关键词： Primary motor cortex Ultrasonic imaging Neurons Rats Forebrain Motors brain modeling Optical fiber testing Engineering in medicine and biology Diseases

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Transcriptomic Study of Neural Regulation in the Medial Prefrontal Cortex of Depressive Mice with Low-Intensity Focused Ultrasound

Transcriptomic Study of Neural Regulation in the Medial Pref...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Qiuquan Cai Lianghui Meng Ling Wang Jing Ren Jiajia Yang Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Brain-Computer Interaction and Human-Machine Fusion Haihe Laboratory Tianjin University Tianjin China Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin University Tianjin China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Exploring new effective treatments for depression holds important social significance and clinical value. Low-intensity focused ultrasound stimulation (LIFUS) has been proven to have significant neuroprotective effects on depression. However, the specific genes regulated by LIFUS in depressive mice remain unclear. We established a depression mice model using chronic restraint stress (CRS) and applied LIFUS to the medial prefrontal cortex (mPFC) following CRS. We explored the impact of modeling and treatment on gene expression changes through transcriptomics, revealing that the therapeutic effect of LIFUS may be associated with the improvement of the activity of calcium signaling pathway and synaptic plasticity. The study provides preclinical evidence and a theoretical basis for applying LIFUS for depression treatment.

关键词： Ultrasonic imaging Calcium Transcriptomics Depression brain modeling Mice Regulation Gene expression Synapses Stress

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Network Properties Analysis in Stroke Patients Based on the resting-state EEG 23

Network Properties Analysis in Stroke Patients Based on the ...

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Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering

作者： Zhongpeng Wang Jinxiang Nan Yijie Zhou Long Chen Shuang Liu Minpeng Xu Qi Li Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University China and Haihe Laboratory of Brain-computer Interaction and Human-machine Integration China Academy of Medical Engineering and Translational Medicine Tianjin University China Academy of Medical Engineering and Translational Medicine Tianjin University China and Department of Rehabilitation Tianjin Hospital China

ISBN: (纸本)9798400708343

In recent years, the researches on brain networks in stroke patients based on EEG signals have attracted attention. Few of them have investigated the specific patterns of FCs across metrics. In this paper, we focus on the lesion properties of common brain regions under different network metrics. Phase synchronization indexes (PSI) between EEG channels were calculated to construct graph theory networks in the Alpha and Beta bands for stroke patients and healthy controls. Network metrics degree, clustering coefficient, and local efficiency were utilized to characterize brain network differences between groups. The results revealed that in Alpha band, patients were characterized by a lower clustering coefficient and exhibited lower global efficiency and lower degree in the Beta band. Regionally, the motor cortex and parietal cortex were identified as common impaired regions across all network metrics, performing weaker capacity for information transfer and integration, which may explain their motor disability. The findings of our study will play an important role in motor evaluation after stroke.

关键词： Electroencephalography (EEG) graph theory phase synchronization index (PSI) stroke

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Congenital hydrocephalus:a review of recent advances in genetic etiology and molecular mechanisms

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Military Medical Research 2024年第6期11卷 942-958页

作者： Xiu-Yun Liu Xin Song Marek Czosnyka Chiara Robba Zofia Czosnyka Jennifer Lee Summers Hui-Jie Yu Guo-Yi Gao Peter Smielewski Fang Guo Mei-Jun Pang Dong Ming Medical School Tianjin UniversityTianjin 300072China State Key Laboratory of Advanced Medical Materials and Devices Tianjin UniversityTianjin 300072China Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration Tianjin 300380China School of Pharmaceutical Science and Technology Tianjin University300072 TianjinChina Department of Clinical Neurosciences Addenbrooke’s HospitalUniversity of CambridgeCambridge CB20QQUK San Martino Policlinico Hospital IRCCS for Oncology and Neuroscience16132 GenoaItaly Department of Anesthesiology and Critical Care Medicine Johns Hopkins UniversityBaltimoreMD 21287USA Department of Neurosurgery Tianjin Medical University General HospitalTianjin 300052China Department of Neurosurgery Beijing Tiantan HospitalCapital Medical UniversityBeijing 100070China Department of Neurosurgery Tianjin Huanhu HospitalTianjin 300350China

The global prevalence rate for congenital hydrocephalus(CH)is approximately one out of every five hundred births with multifaceted predisposing factors at *** influences stand as a major contributor to CH pathogenesis,and epidemiological evidence suggests their involvement in up to 40%of all cases observed *** about an individual’s genetic susceptibility can significantly improve prognostic precision while aiding clinical decision-making ***,the precise genetic etiology has only been pinpointed in fewer than 5%of human *** occurrences of CH cases are required for comprehensive gene sequencing aimed at uncovering additional potential genetic loci.A deeper comprehension of its underlying genetics may offer invaluable insights into the molecular and cellular basis of this brain *** review provides a summary of pertinent genes identified through gene sequencing technologies in humans,in addition to the 4 genes currently associated with CH(2 X-linked genes L1CAM and AP1S2,2 autosomal recessive MPDZ and CCDC88C).Others predominantly participate in aqueduct abnormalities,ciliary movement,and nervous system *** prospective CH-related genes revealed through animal model gene-editing techniques are further outlined,focusing mainly on 4 pathways,namely cilia synthesis and movement,ion channels and transportation,Reissner’s fiber(RF)synthesis,cell apoptosis,and ***,the proper functioning of motile cilia provides significant impulsion for cerebrospinal fluid(CSF)circulation within the brain ventricles while mutations in cilia-related genes constitute a primary cause underlying this *** far,only a limited number of CH-associated genes have been identified in *** integration of genotype and phenotype for disease diagnosis represents a new trend in the medical *** models provide insights into the pathogenesis of CH and contribute to our understanding of its association w

关键词： Congenital hydrocephalus Genetic disease Central system Cilia Ventricle

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Hydrocephalus: An update on latest progress in pathophysiological and therapeutic research

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Biomedicine and Pharmacotherapy 2024年 181卷 117702-117702页

作者： Anwar, Faheem Zhang, Kuo Sun, Changcheng Pang, Meijun Zhou, Wanqi Li, Haodong He, Runnan Liu, Xiuyun Ming, Dong Medical School Tianjin University Tianjin 300072 China School of Pharmaceutical Science and Technology Tianjin University 300072 China Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration Tianjin 300380 China State Key Laboratory of Advanced Medical Materials and Devices Tianjin 300072 China

Hydrocephalus is a severe and life-threatening disease associated with the imbalance of CSF dynamics and affects millions globally at any age, including infants. One cause of pathology that is wide-ranging is genetic mutations to post-traumatic injury. The most effective current pharmacological treatments provide only symptomatic relief and do not address the underlying pathology. At the same time, surgical procedures such as VP shunts performed in lower-income countries are often poorly tolerated due to insufficient diagnostic resources and suboptimal outcomes partially attributable to inferior materials. These problems are compounded by an overall lack of funding that keeps high-quality medical devices out of reach for all but the most developed countries and even among those states. There is a massive variance in treatment effectiveness. This review indicates the necessity for innovative and low-cost, accessible treatment strategies to close these gaps, focusing on current advances in novel therapies, including Pharmacological, gene therapy, and nano-based technologies, which are currently at different stages of clinical trial phases. This review provides an overview of pathophysiology, current treatments, and promising new therapeutic strategies for hydrocephalus. © 2024 The Authors

关键词： Clinical trials Hydrocephalus Non-surgical treatment Pathophysiology Pharmacological treatment Surgical interventions

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