IEEE Transactions on Neural Systems and Rehabilitation Engineering最新文献

{"title":"High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface","authors":"Jiayuan Meng;Xiaoyu Li;Simiao Li;Xinan Fan;Minpeng Xu;Dong Ming","doi":"10.1109/TNSRE.2025.3529997","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3529997","url":null,"abstract":"Active brain-computer interface (BCI) provides a natural way for direct communications between the brain and devices. However, its detectable intention is very limited, let alone of detecting dual intentions from a single electroencephalography (EEG) feature. This study aims to develop time-based active BCI, and further investigate the feasibility of detecting time-movement dual intentions using a single EEG feature. A time-movement synchronization experiment was designed, which contained the intentions of both time (500 ms vs. 1000 ms) and movement (left vs. right). Behavioural and EEG data of 22 healthy participants were recorded and analyzed in both the before (BT) and after (AT) timing prediction training sessions. Consequently, compared to the BT sessions, AT sessions led to substantially smaller absolute deviation time behaviourally, along with larger high-frequency event-related desynchronization (ERD) in frontal-motor areas, and significantly improved decoding accuracy of time. Moreover, AT sessions achieved enhanced motor-related contralateral dominance of event-related potentials (ERP) and ERDs than the BT, which illustrated a synergistic relationship between the two intentions. The feature of 20–60 Hz power can simultaneously reflect the time and movement intentions, achieving a 73.27% averaged four-classification accuracy (500 ms-left vs. 500 ms-right vs. 1000 ms-left vs.1000 ms-right), with the highest up to 93.81%. The results initiatively verified the dual role of high-frequency (20–60 Hz) power in representing both the time and movement intentions. It not only broadens the detectable intentions of active BCI, but also enables it to read user’s mind concurrently from two information dimensions.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"630-639"},"PeriodicalIF":4.8,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10843282","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short Pulse Epiretinal Stimulation Allows Focal Activation of Retinal Ganglion Cells","authors":"Laurin X. Koppenwallner;Günther Zeck;Paul Werginz","doi":"10.1109/TNSRE.2025.3529940","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3529940","url":null,"abstract":"Epiretinal implants suffer from a lack of spatial resolution, which is greatly influenced by the undesired co-activation of distal cells with their axons passing close to targeted somas. Short current pulses in the range of <inline-formula> <tex-math>$50mu $ </tex-math></inline-formula>s have been shown to preferentially activate somas, but the low specificity may limit practical applications. In this paper, we explored decreasing pulse durations down to <inline-formula> <tex-math>$10mu $ </tex-math></inline-formula>s for achieving focal activation, i.e., a large differentiation between axonal and somatic activation in epiretinal configuration. We determined thresholds for pulses ranging between 10 and <inline-formula> <tex-math>$500mu $ </tex-math></inline-formula>s in retinal ganglion cells of both wild-type and photoreceptor-degenerated mouse retina. Ex-vivo stimulation using biphasic rectangular pulses was performed using a custom-built modified Howland-type current-controlled stimulator and a microelectrode. We demonstrate reliable direct activation of retinal ganglion cells using <inline-formula> <tex-math>$10mu $ </tex-math></inline-formula>s pulses for both somatic and axonal electrode positions. Cells from wild-type and photoreceptor-degenerated retinas exhibited similar thresholds. Axonal thresholds were significantly higher for all pulse durations, with the ratio between axonal and somatic thresholds strongly increasing with decreasing pulse duration (1.32 and 4.39 for pulse durations of 500 and <inline-formula> <tex-math>$10mu $ </tex-math></inline-formula>s, respectively). Computational modeling points to somatic polarization as the underlying mechanism for lower somatic thresholds. Our results demonstrate focal activation with pulses in the range of <inline-formula> <tex-math>$10mu $ </tex-math></inline-formula>s as a potential strategy to avoid the long-standing problem of axonal co-activation in epiretinal implants.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"542-553"},"PeriodicalIF":4.8,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10843246","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiangle Correlation Feature Extraction and Disease Prediction Model Construction for Patients With Post-Stroke Dysarthria","authors":"Ting Zhu;Shufei Duan;Huizhi Liang;Fujiang Li;Wei Zhang","doi":"10.1109/TNSRE.2025.3529518","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3529518","url":null,"abstract":"The clinical diagnosis and treatment of motor dysarthria in post-stroke patients is often subjective and neglects the impact of psychological and emotional disorders on disease progression. This study aims to analyze the correlation among emotional expression, psychological state, facial expression, and dysarthria disease severity and is dedicated to the construction of a dysarthria prediction model. We first designed THE-POSSD, a novel Chinese multimodal emotional pathology expression database, which collected acoustic, glottal, and facial data under emotional stimuli from patients at different disease stages and healthy controls. Emotional speech was labeled for intelligibility scores, emotion types, and discrete dimensional space. Then, their correlation with disease development was investigated and analyzed. A total of 154 significant correlation features were extracted for analysis. To mitigate the limitations of subjective clinical scale diagnosis and account for psychological and emotional factors, this study introduced the grey correlation theory and constructed a dysarthria prediction model based on the grey relational analysis-deep belief network (GRA-DBN). Principal Component Analysis and Variance Inflation Factor were employed to optimize GRA-DBN model. Both proposed models achieved a high prediction accuracy, with an adjusted R2 value of 0.85 for GRA-DBN and 0.92 for optimised model. This study fills the gap in the international multimodal emotional pathological expression dataset and provides a comprehensive framework for analyzing the association between mental state, emotional expression, and the degree of dysarthria. Furthermore, the incorporation of key multimodal features into the predictive model highlights its potential to enhance the precision of clinical diagnostic processes significantly.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"587-597"},"PeriodicalIF":4.8,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10841469","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Wearable System for Experimental Knee Pain During Real-World Locomotion: Habituation and Motor Adaptation","authors":"Jesse M. Charlton;Liam H. Foulger;Calvin Kuo;Jean-Sébastien Blouin","doi":"10.1109/TNSRE.2025.3528910","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3528910","url":null,"abstract":"We developed a novel, wearable system that couples motion sensing and electrical stimulation in real-time to study motor adaptation in new environments. In two experiments we established key information needed in the development of our system including 1) pain habituation patterns and motor adaptations to knee pain while walking; 2) a model of electrical stimulation magnitude as a function of pain perception; and 3) gait-phase-dependent modulation of pain intensity. Over three 10-minute walking bouts, we observed significant pain habituation (p<0.001)>1/10, though a piecewise linear (Adj R<inline-formula> <tex-math>$^{{2}} =0.874$ </tex-math></inline-formula>) or exponential model (Adj R<inline-formula> <tex-math>$^{{2}} =0.869$ </tex-math></inline-formula>) was required to fit the perception data across the stimulus intensity range (0-5/10). Finally, participants did not report gait-phase-dependent modulation of pain intensity while walking with tonic electrical stimulation. Our wearable system supports new motor adaptation experiments in novel contexts not previously possible. These results show the system induces localized pain perceptions and motor adaptations in complex movements (walking) while providing guidelines to structure future experimental pain studies.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"441-452"},"PeriodicalIF":4.8,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10838588","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effects of Different Phase on Independent Visual Fields SSVEP Responses","authors":"Dalu Zheng;Songyun Xie;Xinzhou Xie;Michael Scholz;Hao Tang","doi":"10.1109/TNSRE.2025.3528884","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3528884","url":null,"abstract":"Binocular disparate stimulation based on steady-state visual evoked potentials (SSVEP) generates more recognizable features but also introduces complexity hardening the interpretability of SSVEP responses. The individual contribution of each visual pathway when stimulating parts of the visual field remains unclear and is further obfuscated by the large spatial integration of EEG systems. We propose “independent visual field stimulation” (IVFS), utilizing a head-mounted display (HMD) as a novel experimental paradigm to improve the interpretability of SSVEP responses. By stimulating only half of the visual field and “coding” the stimulus further with different phases individual contributions of pathways and eyes can be easily separated and thus the mode of action becomes clearer. In a first proof-of-principles study on 15 subjects we demonstrate that IVFS with a 180° phase difference causes left and right scalp SSVEPs to exhibit a similar phase difference, and the propagation mechanism of SSVEPs conforms to the standing wave mode. Stimulating ipsilateral or contralateral pathways individually does influence temporal information processing but not SSVEP amplitudes. Utilizing the phase of the stimulus in addition to its frequency creates a new dimension and thus helps significantly to overcome frequency limitations in SSVEP research which otherwise dramatically hinder the read-out due to the prominent lowpass nature of the human head.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"577-586"},"PeriodicalIF":4.8,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10838597","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying Joystick Interactions and Movement Patterns of Toddlers With Disabilities Using Powered Mobility With an Instrumented Explorer Mini","authors":"Kimberly A. Ingraham;Nicole L. Zaino;Claire Feddema;Mia E. Hoffman;Liesbeth Gijbels;Alexis Sinclair;Andrew N. Meltzoff;Patricia K. Kuhl;Heather A. Feldner;Katherine M. Steele","doi":"10.1109/TNSRE.2025.3528454","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3528454","url":null,"abstract":"Powered mobility technology can be a powerful tool to facilitate self-initiated exploration and play for toddlers with motor disabilities. The joystick-controlled Permobil Explorer Mini is currently the only commercially available powered mobility device for children ages 1-3 years in the United States. However, many open questions persist regarding how joystick-based mobility technologies should be designed to optimally suit the developmental needs of toddlers. The purpose of this study was to quantify how toddlers with motor disabilities use the Explorer Mini during free exploration and play. For this work, we developed a custom-instrumented Explorer Mini with embedded sensors to measure joystick interactions and wheel rotations. Nine children with motor disabilities (ages 12-36 months) participated in 12 in-lab visits, and during each visit they engaged in two 15-20 minute play sessions. For each session, we calculated several quantitative outcome metrics, including the time spent using the joystick, distance traveled, and the number, duration, and complexity of joystick interactions. Every participant independently interacted with the joystick and moved the Explorer Mini during every session. Over 12 visits, participants significantly increased their distance traveled and the time spent with the joystick active. Surprisingly, we found that only 48% of joystick interactions resulted in device movement, which has important implications for learning. These results can serve as a benchmark for caregivers and clinicians to understand early device use patterns. Furthermore, this knowledge can be used to inform the design of new powered mobility technologies for toddlers with disabilities or support the refinement of existing devices.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"431-440"},"PeriodicalIF":4.8,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10839087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Amplitude Modulation Depth Coding Method for SSVEP-Based Brain–Computer Interfaces","authors":"Ruxue Li;Zhenyu Wang;Xi Zhao;Guiying Xu;Honglin Hu;Ting Zhou;Tianheng Xu","doi":"10.1109/TNSRE.2025.3528409","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3528409","url":null,"abstract":"In steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs), the limited availability of frequency resources inherently constrains the scale of the instruction set, presenting a substantial challenge for efficient communication. As the number of stimuli increases, the comfort level of the stimulus interface also becomes increasingly demanding due to the expanded flickering area. To address these issues, we proposed a novel amplitude modulation depth coding (AMDC) method that employs Amplitude Shift Keying (ASK) technique to modulate the luminance level of stimuli dynamically. Each stimulus with a single carrier frequency was assigned a specific binary sequence to operate two modulation depths. Two experiments were conducted to comprehensively assess the effectiveness of this approach. In Experiment 1, the time-frequency responses at two modulation depths across different frequencies were examined. A 36-target paradigm based on AMDC strategy was designed and evaluated in terms of user experience and classification performance in Experiment 2. The results show that the proposed paradigm obtains an average classification accuracy of <inline-formula> <tex-math>$81.7~pm ~12.6$ </tex-math></inline-formula>% with an average information transfer rate (ITR) of <inline-formula> <tex-math>$45.4~pm ~11.5$ </tex-math></inline-formula> bits/min. Moreover, it significantly reduces flicker perception and improves comfort level compared to traditional SSVEP stimuli with uniform modulation depth. Given its capability to improve coding efficiency for a single frequency and improve user experience, this method shows promising potential for application in large-scale command SSVEP-based BCI systems.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"391-403"},"PeriodicalIF":4.8,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10839059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Humanoid Prosthetic Hands: Modular Terminal Devices That Improve User Performance","authors":"Digby Chappell;Barry Mulvey;Shehara Perera;Fernando Bello;Petar Kormushev;Nicolas Rojas","doi":"10.1109/TNSRE.2025.3528725","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3528725","url":null,"abstract":"Despite decades of research and development, myoelectric prosthetic hands lack functionality and are often rejected by users. This lack in functionality can be partially attributed to the widely accepted anthropomorphic design ideology in the field; attempting to replicate human hand form and function despite severe limitations in control and sensing technology. Instead, prosthetic hands can be tailored to perform specific tasks without increasing complexity by shedding the constraints of anthropomorphism. In this paper, we develop and evaluate four open-source modular non-humanoid devices to perform the motion required to replicate human flicking motion and to twist a screwdriver, and the functionality required to pick and place flat objects and to cut paper. Experimental results from these devices demonstrate that, versus a humanoid prosthesis, non-humanoid prosthesis design dramatically improves task performance, reduces user compensatory movement, and reduces task load. Case studies with two end users demonstrate the translational benefits of this research. We found that special attention should be paid to monitoring end-user task load to ensure positive rehabilitation outcomes.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"466-475"},"PeriodicalIF":4.8,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10838713","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visually Impaired People Learning Virtual Textures Through Multimodal Feedback Combining Vibrotactile and Voice","authors":"Dapeng Chen;Yi Ding;Hao Wu;Qi Jia;Hong Zeng;Lina Wei;Chengcheng Hua;Jia Liu;Aiguo Song","doi":"10.1109/TNSRE.2025.3528048","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3528048","url":null,"abstract":"In recent years, various haptic rendering methods have been proposed to help people obtain interactive experiences with virtual textures through vibration feedback. However, due to impaired vision, the blind or visually impaired (BVI) is still unable to effectively perceive and learn virtual textures through these methods. To help BVIs have the opportunity to improve their object cognition by learning virtual textures, we built a virtual texture learning system based on multimodal feedback. We first propose an Informer based haptic texture rendering model that can fuse texture images with real-time action information to generate vibration acceleration (VA) signals. We further propose a texture classification method using the generated VA signals, and broadcast the classified texture description information to BVI through a speaker. We described the construction process of rendering model and classification method in detail, and compared the perceptual effects of subjects on textures under four rendering models through user experiments, as well as the accuracy of texture matching under two learning modes. The experimental results show that the proposed rendering model can accurately and efficiently generate VA signals, providing subjects with realistic vibration feedback. The constructed learning system enables BVI to know the type, material and other attribute information of virtual texture in the process of obtaining vibrotactile sensation. By establishing the correspondence between haptic stimuli and texture attributes, the system enables BVIs to enhance their ability to recognize objects through learning a large number of virtual textures.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"453-465"},"PeriodicalIF":4.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10836946","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Distribution Adaptive Feedback Training Method to Improve Human Motor Imagery Ability","authors":"Yukun Zhang;Chuncheng Zhang;Rui Jiang;Shuang Qiu;Huiguang He","doi":"10.1109/TNSRE.2025.3527629","DOIUrl":"https://doi.org/10.1109/TNSRE.2025.3527629","url":null,"abstract":"A brain-computer interface (BCI) based on motor imagery (MI) can translate users’ subjective movement-related mental state without external stimulus, which has been successfully used for replacing and repairing motor function. In contrast with studies about decoding methods, less work was reported about training users to improve the performance of MI-BCIs. This study aimed to develop a novel MI feedback training method to enhance the ability of humans to use the MI-BCI system. In this study, an adaptive MI feedback training method was proposed to improve the effectiveness of the training process. The method updated the feedback model during training process and assigned different weights to the samples to better adapt the changes in the distribution of the Electroencephalograms (EEGs). An online feedback training system was established. Each of ten subjects participated in a three-day experiment involving three different feedback methods: no feedback algorithm update, feedback algorithm update, and feedback algorithm update using the proposed adaptive method. Comparison experiments were conducted on three different feedback methods. The experimental results showed that the feedback algorithm using the proposed method can most quickly improve the MI classification accuracy and has the largest increase in accuracy. This indicates that the proposed method can enhance the effectiveness of feedback training and improve the practicality of MI-BCI systems.","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"33 ","pages":"380-390"},"PeriodicalIF":4.8,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10835223","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}