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Article ; Online: Comprehensive analysis of shared genetic loci between hippocampal volume and schizophrenia.

Li, Zongchang / Chen, Xiaogang

2022 Volume 316, Page(s) 114795

Abstract: Schizophrenia and hippocampal volume exhibit a genetic correlation, but the underlying genetic mechanisms remain unclear. Here, we investigated the shared genetic variants in schizophrenia and hippocampal volume using the largest genome-wide association ... ...

Abstract	Schizophrenia and hippocampal volume exhibit a genetic correlation, but the underlying genetic mechanisms remain unclear. Here, we investigated the shared genetic variants in schizophrenia and hippocampal volume using the largest genome-wide association studies (GWASs) data. We identified three genetic loci associated with both schizophrenia and hippocampal volume. Functional annotation analysis suggested that shared genetic variants play a major role via the regulatory effect on gene expression. Expression pattern analyses showed that candidate genes have a spatiotemporal and cell-specific expression pattern across human brain development. These findings provided deeper insights into the genetic mechanisms underlying hippocampus and schizophrenia risk.
MeSH term(s)	Genetic Loci ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Hippocampus/diagnostic imaging ; Hippocampus/metabolism ; Humans ; Polymorphism, Single Nucleotide/genetics ; Schizophrenia/diagnostic imaging ; Schizophrenia/genetics ; Schizophrenia/metabolism
Language	English
Publishing date	2022-08-14
Publishing country	Ireland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	445361-x
ISSN	1872-7123 ; 1872-7506 ; 0925-4927 ; 0165-1781
ISSN (online)	1872-7123 ; 1872-7506
ISSN	0925-4927 ; 0165-1781
DOI	10.1016/j.psychres.2022.114795
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Zs.A 1541: Show issues

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Article ; Online: Editorial.

Soutis, Constantinos / Chen, Xiaogang

Applied composite materials

2022 Volume 29, Issue 1, Page(s) 1–2

Language	English
Publishing date	2022-01-24
Publishing country	Netherlands
Document type	Editorial
ZDB-ID	2012197-0
ISSN	1573-4897 ; 0929-189X
ISSN (online)	1573-4897
ISSN	0929-189X
DOI	10.1007/s10443-022-10013-8
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Article ; Online: β-Klotho inhibits CSF-1 secretion and delays the development of endometrial cancer.

Hua, Fu / Chen, Xiaogang

Cell cycle (Georgetown, Tex.)

2022 Volume 21, Issue 20, Page(s) 2132–2144

Abstract: Senescent cells can drive tumors development by promoting chronic inflammation. There is a significant correlation between β-Klotho expression profiles and endometrial cancer (EC). However, how β-Klotho regulates the occurrence and development of uterine ...

Abstract	Senescent cells can drive tumors development by promoting chronic inflammation. There is a significant correlation between β-Klotho expression profiles and endometrial cancer (EC). However, how β-Klotho regulates the occurrence and development of uterine EC remains to be further studied. Our research found that compared with normal endometrial tissues, β-Klotho expression levels in EC tissues were significantly reduced; overexpression of β-
MeSH term(s)	Apoptosis ; Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; Endometrial Neoplasms/pathology ; Female ; Humans ; Macrophage Colony-Stimulating Factor
Chemical Substances	Macrophage Colony-Stimulating Factor (81627-83-0)
Language	English
Publishing date	2022-06-28
Publishing country	United States
Document type	Journal Article
ZDB-ID	2146183-1
ISSN	1551-4005 ; 1538-4101 ; 1554-8627
ISSN (online)	1551-4005
ISSN	1538-4101 ; 1554-8627
DOI	10.1080/15384101.2022.2092180
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Zs.A 5881: Show issues

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Article ; Online: Fresh and saline groundwater nutrient inputs and their impacts on the nutrient budgets in a human-effected bay.

Yu, Xueqing / Liu, Jianan / Chen, Xiaogang / Yu, Huaming / Du, Jinzhou

Marine pollution bulletin

2024 Volume 199, Page(s) 116026

Abstract: Submarine groundwater discharge (SGD) can be highly enriched in nutrients, especially in bays with strong human activity, but has often been overlooked in coastal nutrient budgets. This study investigated the impact of both fresh and saline SGD on ... ...

Abstract	Submarine groundwater discharge (SGD) can be highly enriched in nutrients, especially in bays with strong human activity, but has often been overlooked in coastal nutrient budgets. This study investigated the impact of both fresh and saline SGD on nutrient budgets in Sanmen Bay, China, a region heavily influenced by human activities. Based on the
MeSH term(s)	Humans ; Bays ; Wastewater ; Environmental Monitoring/methods ; Groundwater ; Seawater ; Nutrients
Chemical Substances	Wastewater
Language	English
Publishing date	2024-01-11
Publishing country	England
Document type	Journal Article
ZDB-ID	2001296-2
ISSN	1879-3363 ; 0025-326X
ISSN (online)	1879-3363
ISSN	0025-326X
DOI	10.1016/j.marpolbul.2024.116026
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Article ; Online: Transcranial Direct Current Stimulation-based Neuromodulation Improves the Performance of Brain-Computer Interfaces Based on Steady-State Visual Evoked Potential.

Zhang, Shangen / Gao, Xiaorong / Cui, Hongyan / Chen, Xiaogang

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

2023 Volume PP

Abstract: The study of brain state estimation and intervention methods is of great significance for the utility of brain-computer interfaces (BCIs). In this paper, a neuromodulation technology using transcranial direct current stimulation (tDCS) is explored to ... ...

Abstract	The study of brain state estimation and intervention methods is of great significance for the utility of brain-computer interfaces (BCIs). In this paper, a neuromodulation technology using transcranial direct current stimulation (tDCS) is explored to improve the performance of steady-state visual evoked potential (SSVEP)-based BCIs. The effects of pre-stimulation, sham-tDCS and anodal-tDCS are analyzed through a comparison of the EEG oscillations and fractal component characteristics. In addition, in this study, a novel brain state estimation method is introduced to assess neuromodulation-induced changes in brain arousal for SSVEP-BCIs. The results suggest that tDCS, and anodal-tDCS in particular, can be used to increase SSVEP amplitude and further improve the performance of SSVEP-BCIs. Furthermore, evidence from fractal features further validates that tDCS-based neuromodulation induces an increased level of brain state arousal. The findings of this study provide insights into the improvement of BCI performance based on personal state interventions and provide an objective method for quantitative brain state monitoring that may be used for EEG modeling of SSVEP-BCIs.
Language	English
Publishing date	2023-02-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	1166307-8
ISSN	1558-0210 ; 1063-6528 ; 1534-4320
ISSN (online)	1558-0210
ISSN	1063-6528 ; 1534-4320
DOI	10.1109/TNSRE.2023.3245079
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Zs.A 4726: Show issues

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Article ; Online: A High-Frequency SSVEP-BCI System Based on Simultaneous Modulation of Luminance and Motion Using Intermodulation Frequencies.

Li, Meng / Chen, Xiaogang / Cui, Hongyan

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

2023 Volume 31, Page(s) 2603–2611

Abstract: The low-frequency steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) tend to induce visual fatigue in the subjects. In order to enhance the comfort of SSVEP-BCIs, a novel SSVEP-BCI encoding method based on simultaneous ... ...

Abstract	The low-frequency steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) tend to induce visual fatigue in the subjects. In order to enhance the comfort of SSVEP-BCIs, a novel SSVEP-BCI encoding method based on simultaneous modulation of luminance and motion is proposed. In this work, sixteen stimulus targets are simultaneously flickered and radially zoomed using a sampled sinusoidal stimulation method. The flicker frequency is set to a 30 Hz for all the targets, while assigning different radial zoom frequencies (ranging from 0.4 Hz to 3.4 Hz, with an interval of 0.2 Hz) are assigned to each target separately. Accordingly, an extended vision of the filter bank canonical correlation analysis (eFBCCA) is proposed to detect the intermodulation (IM) frequencies and classify the targets. In addition, we adopt the comfort level scale to evaluate the subjective comfort experience. By optimizing the combination of IM frequencies for the classification algorithm, the average recognition accuracy of the offline and online experiments reaches 92.74 ± 1.53% and 93.33 ± 0.01%, respectively. Most importantly, the average comfort scores are above 5. These results demonstrate the feasibility and comfort of the proposed system using IM frequencies, which provides new ideas for the further development of highly comfortable SSVEP-BCIs.
MeSH term(s)	Humans ; Evoked Potentials, Visual ; Brain-Computer Interfaces ; Photic Stimulation/methods ; Electroencephalography/methods ; Algorithms
Language	English
Publishing date	2023-06-13
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1166307-8
ISSN	1558-0210 ; 1063-6528 ; 1534-4320
ISSN (online)	1558-0210
ISSN	1063-6528 ; 1534-4320
DOI	10.1109/TNSRE.2023.3281416
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Zs.A 4726: Show issues

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Article ; Online: A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG.

Cui, Hongyan / Chi, Xinyi / Wang, Lei / Chen, Xiaogang

IEEE journal of biomedical and health informatics

2023 Volume 27, Issue 12, Page(s) 5688–5698

Abstract: Recently, various biosignals have been combined with electroencephalography (EEG) to build hybrid brain-computer interface (BCI) systems to improve system performance. Since steady-state visual evoked potential (SSVEP) and surface electromyography (sEMG) ...

Abstract	Recently, various biosignals have been combined with electroencephalography (EEG) to build hybrid brain-computer interface (BCI) systems to improve system performance. Since steady-state visual evoked potential (SSVEP) and surface electromyography (sEMG) are easy-to-use, non-invasive techniques, and have high signal-to-noise ratio (SNR), hybrid BCI systems combining SSVEP and sEMG have received much attention in the BCI literature. However, most existing studies regarding hybrid BCIs based on SSVEP and sEMG adopt low-frequency visual stimuli to induce SSVEPs. The comfort of these systems needs further improvement to meet the practical application requirements. The present study realized a novel hybrid BCI combining high-frequency SSVEP and sEMG signals for spelling applications. EEG and sEMG were obtained simultaneously from the scalp and skin surface of subjects, respectively. These two types of signals were analyzed independently and then combined to determine the target stimulus. Our online results demonstrated that the developed hybrid BCI yielded a mean accuracy of 88.07 ± 1.43% and ITR of 159.12 ± 4.31 bits/min. These results exhibited the feasibility and effectiveness of fusing high-frequency SSVEP and sEMG towards improving the total BCI system performance.
MeSH term(s)	Humans ; Brain-Computer Interfaces ; Evoked Potentials, Visual ; Electromyography ; Photic Stimulation/methods ; Electroencephalography/methods
Language	English
Publishing date	2023-12-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2023.3321722
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Zs.A 5483: Show issues

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Article: [Robotic arm control system based on augmented reality brain-computer interface and computer vision].

Chen, Xiaogang / Li, Kun

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi

2021 Volume 38, Issue 3, Page(s) 483–491

Abstract: Brain-computer interface (BCI) has great potential to replace lost upper limb function. Thus, there has been great interest in the development of BCI-controlled robotic arm. However, few studies have attempted to use noninvasive electroencephalography ( ... ...

Abstract	Brain-computer interface (BCI) has great potential to replace lost upper limb function. Thus, there has been great interest in the development of BCI-controlled robotic arm. However, few studies have attempted to use noninvasive electroencephalography (EEG)-based BCI to achieve high-level control of a robotic arm. In this paper, a high-level control architecture combining augmented reality (AR) BCI and computer vision was designed to control a robotic arm for performing a pick and place task. A steady-state visual evoked potential (SSVEP)-based BCI paradigm was adopted to realize the BCI system. Microsoft's HoloLens was used to build an AR environment and served as the visual stimulator for eliciting SSVEPs. The proposed AR-BCI was used to select the objects that need to be operated by the robotic arm. The computer vision was responsible for providing the location, color and shape information of the objects. According to the outputs of the AR-BCI and computer vision, the robotic arm could autonomously pick the object and place it to specific location. Online results of 11 healthy subjects showed that the average classification accuracy of the proposed system was 91.41%. These results verified the feasibility of combing AR, BCI and computer vision to control a robotic arm, and are expected to provide new ideas for innovative robotic arm control approaches.
MeSH term(s)	Augmented Reality ; Brain-Computer Interfaces ; Computers ; Electroencephalography ; Evoked Potentials, Visual ; Humans ; Photic Stimulation ; Robotic Surgical Procedures
Language	Chinese
Publishing date	2021-06-26
Publishing country	China
Document type	Journal Article
ZDB-ID	2576847-5
ISSN	1001-5515
ISSN	1001-5515
DOI	10.7507/1001-5515.202011039
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Article ; Online: Visual tracking brain-computer interface.

Huang, Changxing / Shi, Nanlin / Miao, Yining / Chen, Xiaogang / Wang, Yijun / Gao, Xiaorong

iScience

2024 Volume 27, Issue 4, Page(s) 109376

Abstract: Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous tasks due ...

Abstract	Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous tasks due to discrete stimulus design and decoding methods. To achieve continuous control, we implemented a novel spatial encoding stimulus paradigm and devised a corresponding projection method to enable continuous modulation of decoded velocity. Subsequently, we conducted experiments involving 17 participants and achieved Fitt's information transfer rate (ITR) of 0.55 bps for the fixed tracking task and 0.37 bps for the random tracking task. The proposed BCI with a high Fitt's ITR was then integrated into two applications, including painting and gaming. In conclusion, this study proposed a visual BCI based-control method to go beyond discrete commands, allowing natural continuous control based on neural activity.
Language	English
Publishing date	2024-03-02
Publishing country	United States
Document type	Journal Article
ISSN	2589-0042
ISSN (online)	2589-0042
DOI	10.1016/j.isci.2024.109376
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Article: Hemodynamics and arrhythmia disorder caused by lithium poisoning: A case report.

Wang, Yujue / Ouyang, Lijun / Ma, Xiaoqian / Xu, Danyan / Chen, Xiaogang / He, Ying

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences

2024 Volume 49, Issue 1, Page(s) 153–158

Abstract: Bipolar affective disorder refers to a category of mood disorders characterized clinically by the presence of both manic or hypomanic episodes and depressive episodes. Lithium stands out as the primary pharmacological intervention for managing bipolar ... ...

Title translation	锂中毒导致心律失常、血流动力学障碍1例.
Abstract	Bipolar affective disorder refers to a category of mood disorders characterized clinically by the presence of both manic or hypomanic episodes and depressive episodes. Lithium stands out as the primary pharmacological intervention for managing bipolar affective disorder. However, its therapeutic dosage closely approaches toxic levels. Toxic symptoms appear when the blood lithium concentration surpasses 1.4 mmol/L, typically giving rise to gastrointestinal and central nervous system reactions. Cardiac toxicity is rare but serious in cases of lithium poisoning. The study reports a case of a patient with bipolar affective disorder who reached a blood lithium concentration of 6.08 mmol/L after the patient took lithium carbonate sustained-release tablets beyond the prescribed dosage daily and concurrently using other mood stabilizers. This resulted in symptoms such as arrhythmia, shock, impaired consciousness, and coarse tremors. Following symptomatic supportive treatment, including blood dialysis, the patient's physical symptoms gradually improved. It is necessary for clinicians to strengthen the prevention and recognition of lithium poisoning.
MeSH term(s)	Humans ; Lithium ; Hemodynamics ; Anticonvulsants ; Arrhythmias, Cardiac/chemically induced ; Central Nervous System
Chemical Substances	Lithium (9FN79X2M3F) ; Anticonvulsants
Language	Chinese
Publishing date	2024-04-13
Publishing country	China
Document type	Case Reports ; Journal Article
ZDB-ID	2168533-2
ISSN	1672-7347
ISSN	1672-7347
DOI	10.11817/j.issn.1672-7347.2024.230367
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