1.Research on hybrid brain-computer interface based on imperceptible visual and auditory stimulation responses.
Zexin PANG ; Yijun WANG ; Qingpeng DONG ; Zijian CHENG ; Zhaohui LI ; Ruoqing ZHANG ; Hongyan CUI ; Xiaogang CHEN
Journal of Biomedical Engineering 2025;42(4):660-667
In recent years, hybrid brain-computer interfaces (BCIs) have gained significant attention due to their demonstrated advantages in increasing the number of targets and enhancing robustness of the systems. However, Existing studies usually construct BCI systems using intense auditory stimulation and strong central visual stimulation, which lead to poor user experience and indicate a need for improving system comfort. Studies have proved that the use of peripheral visual stimulation and lower intensity of auditory stimulation can effectively boost the user's comfort. Therefore, this study used high-frequency peripheral visual stimulation and 40-dB weak auditory stimulation to elicit steady-state visual evoked potential (SSVEP) and auditory steady-state response (ASSR) signals, building a high-comfort hybrid BCI based on weak audio-visual evoked responses. This system coded 40 targets via 20 high-frequency visual stimulation frequencies and two auditory stimulation frequencies, improving the coding efficiency of BCI systems. Results showed that the hybrid system's averaged classification accuracy was (78.00 ± 12.18) %, and the information transfer rate (ITR) could reached 27.47 bits/min. This study offers new ideas for the design of hybrid BCI paradigm based on imperceptible stimulation.
Brain-Computer Interfaces
;
Humans
;
Evoked Potentials, Visual/physiology*
;
Acoustic Stimulation
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Photic Stimulation
;
Electroencephalography
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Evoked Potentials, Auditory/physiology*
;
Adult
2.Correlation analysis between inflammatory markers in complete blood counts and influenza A virus infection
Zexin DONG ; Ling JIN ; Bangshun HE ; Weiwei CUI
Chinese Journal of Clinical Laboratory Science 2025;43(10):780-786
Objective To retrospectively analyze the correlation between inflammatory markers in complete blood counts(CBC)and influenza A virus infection in patients visited the outpatient department of Nanjing First Hospital.Methods The suspected influenza A virus infection patients visited the outpatient department of Nanjing First Hospital from February to March 2023 were collected and di-vided into the positive and negative groups based on the detection results of influenza A virus antigen.The differences in inflammatory markers in CBC between the two groups were compared.The Logistic regression analysis was used to evaluate the correlation between inflammatory markers and influenza A virus infection.Meanwhile,the restricted cubic spline(RCS)and age subgroup(≤6 years,7-12 years,13-17 years,and ≥18 years)analysis were also performed.Results A total of 1 487 outpatients were included,of which 404(27.2%)were positive for influenza A virus antigen.The Logistic regression analysis showed that white blood cell count(WBC),lymphocyte percentage(LY%),and lymphocyte count(LYM)were significantly negatively correlated with influenza A virus infection(P<0.01),while the neutrophil percentage(NE%),monocyte/lymphocyte ratio(MLR),and neutrophil/lymphocyte ratio(NLR)were significantly positively correlated with influenza A virus infection(P<0.01).The RCS analysis exhibited the same trend.The age subgroup analysis showed that when the age was greater than 6 years,LYM was significantly negatively correlated with influenza A virus infection(P<0.01).When the age was greater than 12 years,MLR was significantly positively correlated with influenza A virus infec-tion(P<0.01).Conclusion The WBC,LY%,LYM,NE%,MLR,and NLR in CBC parameters are important indicators associated with the occurrence of Influenza A virus infection,especially LYM in patients aged over 6 years and MLR in patients aged over 12 years,which may serve as biomarkers for the diagnosis and differential diagnosis of influenza A virus infection.
3.Correlation analysis between inflammatory markers in complete blood counts and influenza A virus infection
Zexin DONG ; Ling JIN ; Bangshun HE ; Weiwei CUI
Chinese Journal of Clinical Laboratory Science 2025;43(10):780-786
Objective To retrospectively analyze the correlation between inflammatory markers in complete blood counts(CBC)and influenza A virus infection in patients visited the outpatient department of Nanjing First Hospital.Methods The suspected influenza A virus infection patients visited the outpatient department of Nanjing First Hospital from February to March 2023 were collected and di-vided into the positive and negative groups based on the detection results of influenza A virus antigen.The differences in inflammatory markers in CBC between the two groups were compared.The Logistic regression analysis was used to evaluate the correlation between inflammatory markers and influenza A virus infection.Meanwhile,the restricted cubic spline(RCS)and age subgroup(≤6 years,7-12 years,13-17 years,and ≥18 years)analysis were also performed.Results A total of 1 487 outpatients were included,of which 404(27.2%)were positive for influenza A virus antigen.The Logistic regression analysis showed that white blood cell count(WBC),lymphocyte percentage(LY%),and lymphocyte count(LYM)were significantly negatively correlated with influenza A virus infection(P<0.01),while the neutrophil percentage(NE%),monocyte/lymphocyte ratio(MLR),and neutrophil/lymphocyte ratio(NLR)were significantly positively correlated with influenza A virus infection(P<0.01).The RCS analysis exhibited the same trend.The age subgroup analysis showed that when the age was greater than 6 years,LYM was significantly negatively correlated with influenza A virus infection(P<0.01).When the age was greater than 12 years,MLR was significantly positively correlated with influenza A virus infec-tion(P<0.01).Conclusion The WBC,LY%,LYM,NE%,MLR,and NLR in CBC parameters are important indicators associated with the occurrence of Influenza A virus infection,especially LYM in patients aged over 6 years and MLR in patients aged over 12 years,which may serve as biomarkers for the diagnosis and differential diagnosis of influenza A virus infection.
4. Sequence analysis of enterovirus 71 3′UTR and construction of a recombinant cDNA infectious clone
Zhen DONG ; Lihong WANG ; Ziwei LIU ; Rui CHEN ; Zexin TAO ; Li ZHAO ; Zhiyu WANG ; Hongling WEN
Chinese Journal of Experimental and Clinical Virology 2019;33(1):83-88
Objective:
To sequence the 3′UTR of enterovirus 71 strains, investigate its foundation and impact in virulence by constructing a 3′UTR-replaced recombinant cDNA infectious clone.
Methods:
Viral RNA of EV-A71 isolated viruses were extracted, and the nucleotide analysis was performed after sequencing. The 3′UTR of a full-length infectious clone of SDLY107 strain was replaced by its corresponding part of SDLY1 strain, and then the recombinant virus was constructed and identified.
Results:
The nine isolated strains were classified into sub-genotype C4a of enterovirus (EV)-A71 by analysis, and nucleotide sequence homology for 3′UTR were 94%-100%. 3′UTR of EV-A71 strains may be associated with its pathogenicity. Identification of the rescued virus by sequencing and indirect immunofluorescence confirmed the successful construction of infectious recombinant virus.
Conclusions
Sequence analysis indicated that the 3′UTR may be involved in the pathogenicity of EV-A71. The recombinant virus SDLY107(1-3′UTR) was rescued successfully. Our study may provide evidence for further research on the influence of 3′UTR on the virulence of enterovirus 71.

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