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  1. Article: Editorial: Exploration of the non-invasive brain-computer interface and neurorehabilitation.

    Chen, Shugeng / Yao, Lin / Cao, Lei / Caimmi, Marco / Jia, Jie

    Frontiers in neuroscience

    2024  Volume 18, Page(s) 1377665

    Language English
    Publishing date 2024-02-13
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2024.1377665
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Sensorimotor Rhythm-Based Brain-Computer Interfaces for Motor Tasks Used in Hand Upper Extremity Rehabilitation after Stroke: A Systematic Review.

    Fu, Jianghong / Chen, Shugeng / Jia, Jie

    Brain sciences

    2022  Volume 13, Issue 1

    Abstract: Brain-computer interfaces (BCIs) are becoming more popular in the neurological rehabilitation field, and sensorimotor rhythm (SMR) is a type of brain oscillation rhythm that can be captured and analyzed in BCIs. Previous reviews have testified to the ... ...

    Abstract Brain-computer interfaces (BCIs) are becoming more popular in the neurological rehabilitation field, and sensorimotor rhythm (SMR) is a type of brain oscillation rhythm that can be captured and analyzed in BCIs. Previous reviews have testified to the efficacy of the BCIs, but seldom have they discussed the motor task adopted in BCIs experiments in detail, as well as whether the feedback is suitable for them. We focused on the motor tasks adopted in SMR-based BCIs, as well as the corresponding feedback, and searched articles in PubMed, Embase, Cochrane library, Web of Science, and Scopus and found 442 articles. After a series of screenings, 15 randomized controlled studies were eligible for analysis. We found motor imagery (MI) or motor attempt (MA) are common experimental paradigms in EEG-based BCIs trials. Imagining/attempting to grasp and extend the fingers is the most common, and there were multi-joint movements, including wrist, elbow, and shoulder. There were various types of feedback in MI or MA tasks for hand grasping and extension. Proprioception was used more frequently in a variety of forms. Orthosis, robot, exoskeleton, and functional electrical stimulation can assist the paretic limb movement, and visual feedback can be used as primary feedback or combined forms. However, during the recovery process, there are many bottleneck problems for hand recovery, such as flaccid paralysis or opening the fingers. In practice, we should mainly focus on patients' difficulties, and design one or more motor tasks for patients, with the assistance of the robot, FES, or other combined feedback, to help them to complete a grasp, finger extension, thumb opposition, or other motion. Future research should focus on neurophysiological changes and functional improvements and further elaboration on the changes in neurophysiology during the recovery of motor function.
    Language English
    Publishing date 2022-12-28
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci13010056
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Correlation between the ERD in grasp/open tasks of BCIs and hand function of stroke patients: a cross-sectional study.

    Fu, Jianghong / Jiang, ZeWu / Shu, Xiaokang / Chen, Shugeng / Jia, Jie

    Biomedical engineering online

    2023  Volume 22, Issue 1, Page(s) 36

    Abstract: Background and aims: Brain-computer interfaces (BCIs) are emerging as a promising tool for upper limb recovery after stroke, and motor tasks are an essential part of BCIs for patient training and control of rehabilitative/assistive BCIs. However, the ... ...

    Abstract Background and aims: Brain-computer interfaces (BCIs) are emerging as a promising tool for upper limb recovery after stroke, and motor tasks are an essential part of BCIs for patient training and control of rehabilitative/assistive BCIs. However, the correlation between brain activation with different levels of motor impairment and motor tasks in BCIs is still not so clear. Thus, we aim to compare the brain activation of different levels of motor impairment in performing the hand grasping and opening tasks in BCIs.
    Methods: We instructed stroke patients to perform motor attempts (MA) to grasp and open the affected hand for 30 trials, respectively. During this period, they underwent EEG acquisition and BCIs accuracy recordings. They also received detailed history records and behavioral scale assessments (the Fugl-Meyer assessment of upper limb, FMA-UE).
    Results: The FMA-UE was negatively correlated with the event-related desynchronization (ERD) of the affected hemisphere during open MA (R = - 0.423, P = 0.009) but not with grasp MA (R = - 0.058, P = 0.733). Then we divided the stroke patients into group 1 (Brunnstrom recovery stages between I to II, n = 19) and group 2 (Brunnstrom recovery stages between III to VI, n = 23). No difference during the grasping task (t = 0.091, P = 0.928), but a significant difference during the open task (t = 2.156, P = 0.037) was found between the two groups on the affected hemisphere. No significant difference was found in the unaffected hemisphere.
    Conclusions: The study indicated that brain activation is positively correlated with the hand function of stroke in open-hand tasks. In the grasping task, the patients in the different groups have a similar brain response, while in the open task, mildly injured patients have more brain activation in open the hand than the poor hand function patients.
    MeSH term(s) Humans ; Cross-Sectional Studies ; Brain-Computer Interfaces ; Recovery of Function/physiology ; Stroke ; Upper Extremity ; Stroke Rehabilitation ; Hand Strength
    Language English
    Publishing date 2023-04-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2084374-4
    ISSN 1475-925X ; 1475-925X
    ISSN (online) 1475-925X
    ISSN 1475-925X
    DOI 10.1186/s12938-023-01091-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Correction: Correlation between the ERD in grasp/open tasks of BCIs and hand function of stroke patients: a cross‑sectional study.

    Fu, Jianghong / Jiang, ZeWu / Shu, Xiaokang / Chen, Shugeng / Jia, Jie

    Biomedical engineering online

    2023  Volume 22, Issue 1, Page(s) 60

    Language English
    Publishing date 2023-06-16
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2084374-4
    ISSN 1475-925X ; 1475-925X
    ISSN (online) 1475-925X
    ISSN 1475-925X
    DOI 10.1186/s12938-023-01127-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: A Novel Deep Learning Method Based on an Overlapping Time Window Strategy for Brain-Computer Interface-Based Stroke Rehabilitation.

    Cao, Lei / Wu, Hailiang / Chen, Shugeng / Dong, Yilin / Zhu, Changming / Jia, Jie / Fan, Chunjiang

    Brain sciences

    2022  Volume 12, Issue 11

    Abstract: Globally, stroke is a leading cause of death and disability. The classification of motor intentions using brain activity is an important task in the rehabilitation of stroke patients using brain-computer interfaces (BCIs). This paper presents a new ... ...

    Abstract Globally, stroke is a leading cause of death and disability. The classification of motor intentions using brain activity is an important task in the rehabilitation of stroke patients using brain-computer interfaces (BCIs). This paper presents a new method for model training in EEG-based BCI rehabilitation by using overlapping time windows. For this aim, three different models, a convolutional neural network (CNN), graph isomorphism network (GIN), and long short-term memory (LSTM), are used for performing the classification task of motor attempt (MA). We conducted several experiments with different time window lengths, and the results showed that the deep learning approach based on overlapping time windows achieved improvements in classification accuracy, with the LSTM combined vote-counting strategy (VS) having achieved the highest average classification accuracy of 90.3% when the window size was 70. The results verified that the overlapping time window strategy is useful for increasing the efficiency of BCI rehabilitation.
    Language English
    Publishing date 2022-11-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci12111502
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Functional-oriented, portable brain-computer interface training for hand motor recovery after stroke: a randomized controlled study.

    Fu, Jianghong / Chen, Shugeng / Shu, Xiaokang / Lin, Yifang / Jiang, Zewu / Wei, Dongshuai / Gao, Jiajia / Jia, Jie

    Frontiers in neuroscience

    2023  Volume 17, Page(s) 1146146

    Abstract: Background: Brain-computer interfaces (BCIs) have been proven to be effective for hand motor recovery after stroke. Facing kinds of dysfunction of the paretic hand, the motor task of BCIs for hand rehabilitation is relatively single, and the operation ... ...

    Abstract Background: Brain-computer interfaces (BCIs) have been proven to be effective for hand motor recovery after stroke. Facing kinds of dysfunction of the paretic hand, the motor task of BCIs for hand rehabilitation is relatively single, and the operation of many BCI devices is complex for clinical use. Therefore, we proposed a functional-oriented, portable BCI equipment and explored the efficiency of hand motor recovery after a stroke.
    Materials and methods: Stroke patients were randomly assigned to the BCI group and the control group. The BCI group received BCI-based grasp/open motor training, while the control group received task-oriented guidance training. Both groups received 20 sessions of motor training in 4 weeks, and each session lasted for 30 min. The Fugl-Meyer assessment of the upper limb (FMA-UE) was applied for the assessment of rehabilitation outcomes, and the EEG signals were obtained for processing.
    Results: The progress of FMA-UE between the BCI group [10.50 (5.75, 16.50)] and the control group [5.00 (4.00, 8.00)] was significantly different (
    Conclusion: Targeted hand movement and two motor task modes, namely grasp and open, to be applied in a BCI design may be suitable in stroke patients with hand dysfunction. The functional-oriented, portable BCI training can promote hand recovery after a stroke, and it is expected to be widely used in clinical practice. The lateral index change of inter-hemispheric balance may be the mechanism of motor recovery.
    Trial registration number: ChiCTR2100044492.
    Language English
    Publishing date 2023-05-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2023.1146146
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Comparative analysis of sleep parameters and structures derived from wearable flexible electrode sleep patches and polysomnography in young adults.

    Wang, Yuqi / Zhou, Jing / Zha, Fubing / Zhou, Mingchao / Li, Dongxia / Zheng, Qian / Chen, Shugeng / Yan, Shuiping / Geng, Xinling / Long, Jianjun / Wan, Li / Wang, Yulong

    Journal of neurophysiology

    2024  Volume 131, Issue 4, Page(s) 738–749

    Abstract: Polysomnography (PSG) is the gold standard for clinical sleep monitoring, but its cost, discomfort, and limited suitability for continuous use present challenges. The flexible electrode sleep patch (FESP) emerges as an economically viable and patient- ... ...

    Abstract Polysomnography (PSG) is the gold standard for clinical sleep monitoring, but its cost, discomfort, and limited suitability for continuous use present challenges. The flexible electrode sleep patch (FESP) emerges as an economically viable and patient-friendly solution, offering lightweight, simple operation, and self-applicable. Nevertheless, its utilization in young individuals remains uncertain. The objective of this study was to compare sleep data obtained by FESP and PSG in healthy young individuals and analyze agreement for sleep parameters and structure classification. Overnight monitoring with FESP and PSG recordings in 48 participants (mean age: 23 yr) was done. Correlation analysis, Bland-Altman plots, and Cohen's kappa coefficient assessed consistency. Sensitivity, specificity, and predictive values compared classification against PSG. FESP showed strong correlation and consistency with PSG for sleep monitoring. Bland-Altman plots indicated small errors and high consistency. Kappa values (0.70-0.84) suggested substantial agreement for sleep stage classification. Pearson correlation coefficient values for sleep stages (0.75-0.88) and sleep parameters (0.80-0.96) confirm that FESP has a strong application. Intraclass correlation coefficient yielded values between 0.65 and 0.97. In addition, FESP demonstrated an impressive accuracy range of 84.12-93.47% for sleep stage classification. The FESP also features a wearable self-test program with an error rate of no more than 8% for both deep sleep and wake. In young adults, FESP demonstrated reliable monitoring capabilities comparable to PSG. With its low cost and user-friendly design, FESP is a potential alternative for portable sleep assessment in clinical and research applications. Further studies involving larger populations are needed to validate its diagnostic potential.
    MeSH term(s) Humans ; Young Adult ; Adult ; Polysomnography ; Actigraphy ; Reproducibility of Results ; Sleep ; Wearable Electronic Devices ; Electrodes ; Spiperone/analogs & derivatives
    Chemical Substances 3-N-(2-fluoroethyl)spiperone (106114-42-5) ; Spiperone (4X6E73CJ0Q)
    Language English
    Publishing date 2024-02-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80161-6
    ISSN 1522-1598 ; 0022-3077
    ISSN (online) 1522-1598
    ISSN 0022-3077
    DOI 10.1152/jn.00465.2023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: The Differences Between Motor Attempt and Motor Imagery in Brain-Computer Interface Accuracy and Event-Related Desynchronization of Patients With Hemiplegia.

    Chen, Shugeng / Shu, Xiaokang / Wang, Hewei / Ding, Li / Fu, Jianghong / Jia, Jie

    Frontiers in neurorobotics

    2021  Volume 15, Page(s) 706630

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2021-11-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2453002-5
    ISSN 1662-5218
    ISSN 1662-5218
    DOI 10.3389/fnbot.2021.706630
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: An Inter- and Intra-Subject Transfer Calibration Scheme for Improving Feedback Performance of Sensorimotor Rhythm-Based BCI Rehabilitation.

    Cao, Lei / Chen, Shugeng / Jia, Jie / Fan, Chunjiang / Wang, Haoran / Xu, Zhixiong

    Frontiers in neuroscience

    2021  Volume 14, Page(s) 629572

    Abstract: The Brain Computer Interface (BCI) system is a typical neurophysiological application which helps paralyzed patients with human-machine communication. Stroke patients with motor disabilities are able to perform BCI tasks for clinical rehabilitation. This ...

    Abstract The Brain Computer Interface (BCI) system is a typical neurophysiological application which helps paralyzed patients with human-machine communication. Stroke patients with motor disabilities are able to perform BCI tasks for clinical rehabilitation. This paper proposes an effective scheme of transfer calibration for BCI rehabilitation. The inter- and intra-subject transfer learning approaches can improve the low-precision classification performance for experimental feedback. The results imply that the systematical scheme is positive in increasing the confidence of voluntary training for stroke patients. In addition, it also reduces the time consumption of classifier calibration.
    Language English
    Publishing date 2021-01-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2020.629572
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: EEG-Based Brain Network Analysis of Chronic Stroke Patients After BCI Rehabilitation Training.

    Zhan, Gege / Chen, Shugeng / Ji, Yanyun / Xu, Ying / Song, Zuoting / Wang, Junkongshuai / Niu, Lan / Bin, Jianxiong / Kang, Xiaoyang / Jia, Jie

    Frontiers in human neuroscience

    2022  Volume 16, Page(s) 909610

    Abstract: Traditional rehabilitation strategies become difficult in the chronic phase stage of stroke prognosis. Brain-computer interface (BCI) combined with external devices may improve motor function in chronic stroke patients, but it lacks comprehensive ... ...

    Abstract Traditional rehabilitation strategies become difficult in the chronic phase stage of stroke prognosis. Brain-computer interface (BCI) combined with external devices may improve motor function in chronic stroke patients, but it lacks comprehensive assessments of neurological changes regarding functional rehabilitation. This study aimed to comprehensively and quantitatively investigate the changes in brain activity induced by BCI-FES training in patients with chronic stroke. We analyzed the EEG of two groups of patients with chronic stroke, one group received functional electrical stimulation (FES) rehabilitation training (FES group) and the other group received BCI combined with FES training (BCI-FES group). We constructed functional networks in both groups of patients based on direct directed transfer function (dDTF) and assessed the changes in brain activity using graph theory analysis. The results of this study can be summarized as follows: (i) after rehabilitation training, the Fugl-Meyer assessment scale (FMA) score was significantly improved in the BCI-FES group (
    Language English
    Publishing date 2022-06-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2425477-0
    ISSN 1662-5161
    ISSN 1662-5161
    DOI 10.3389/fnhum.2022.909610
    Database MEDical Literature Analysis and Retrieval System OnLINE

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