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Yujun Gao

Biographic Data

ID7958075
NAMEYujun Gao
GIVEN NAMESYujun
FAMILY NAMEGao
SIGNATUREGAO Y
AFFILIATIONSWuhan University
ORCID0000-0002-6762-5131
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Structural Foundation of AI-Driven Digital Innovation and ESG Performance

    Open Access•Yao Pan, Abad Alzuman et al.•ARTICLE•The Journal of Environment &…•2026

    The integration of artificial intelligence (AI) into business operations is a critical driver of digital innovation and a firm’s ESG performance. This study examines the impact of AI on digital innovation and ESG performance within the Turkish service and manufacturing sectors, with a focus on underrepresented groups, including women and immigrants. This study uses structural equation modeling (SEM) to examine how AI influences ESG performance th…

  • The neural correlation of emotion recognition ability and depressive symptoms–evidence from the HCP database

    Open Access•Ze Yuan, Lin Xiao et al.•ARTICLE•Frontiers in Psychiatry•2023

    The core brain regions centered on the inferior orbitofrontal cortex such as middle temporal gyrus, precuneus lobe, frontal pole, insula and cingulate gyrus are the potential neuroimaging basis for the interaction between depressive symptoms and emotional recognition

  • Co-prescription of aripiprazole on prolactin levels in long-term hospitalized chronic schizophrenic patients with co-morbid type 2 diabetes

    Open Access•Xuebing Liu, Xianzhi Sun et al.•ARTICLE•Frontiers in Psychiatry•2023

    Aripiprazole not only worsened the severity of index disturbances associated to metabolism in long-term hospitalized chronic schizophrenia patients with co-T2DM on metformin-based hypoglycemic medications but also failed to lower PRL levels

  • Decreased resting-state neural signal in the left angular gyrus as a potential neuroimaging biomarker of schizophrenia

    Open Access•Yujun Gao, Xin Tong et al.•ARTICLE•Frontiers in Psychiatry•2022

    These data indicate that SCH patients may exhibit characteristic reductions in regional brain activity, with decreased ALFF values of the bilateral PCu potentially offering value as a candidate biomarker capable of distinguishing between SCH patients and HCs

  • Abnormal Ventral Somatomotor Network Homogeneity in Patients With Temporal Lobe Epilepsy

    Open Access•Dongbin Li, Ruoshi Liu et al.•ARTICLE•Frontiers in Psychiatry•2022

    Our findings suggest that altered NH of the postcentral gyrus, Rolandic operculum and STG might be associated with the pathophysiology of TLE, and thus, highlight the contribution of the VSN to the pathophysiology of TLE

  • Abnormal degree centrality values as a potential imaging biomarker for major depressive disorder

    Open Access•Hang Lin, Xi Xiang et al.•ARTICLE•Frontiers in Psychiatry•2022

    Our study demonstrated abnormal DC patterns in patients with MDD. Aberrant DC values in the left anterior cerebellar lobe and right caudate could be presented as potential imaging biomarkers for the diagnosis of MDD

  • Abnormal degree centrality in first-episode medication-free adolescent depression at rest

    Open Access•Xin Guo, Wei Wang et al.•ARTICLE•Frontiers in Psychiatry•2022

    These results suggest that whole-brain network centrality abnormalities may be present in many brain regions in adolescent depression patients. Accordingly, these DC maps may hold value as candidate neuroimaging biomarkers capable of differentiating between adolescents who are and are not affected by MDD, although further validation of these results will be critical

  • Abnormal Default Mode Network Homogeneity in Treatment-Naive Patients With First-Episode Depression

    Open Access•Yujun Gao, Menglin Wang et al.•ARTICLE•Frontiers in Psychiatry•2018

    Background and Objective: The default mode network (DMN) may be an important component involved in the broad-scale cognitive problems seen in patients with first-episode treatment-naive depression. Nevertheless, information is scarce regarding the changes in network homogeneity (NH) found in the DMN of these patients. Therefore, in this study, we explored the NH of the DMN in patients with first-episode treatment-naive depression. Methods: The st…

No prominent works on this page.

  • Abnormal Default Mode Network Homogeneity in Treatment-Naive Patients With First-Episode Depression

    Open Access•Yujun Gao, Menglin Wang et al.•ARTICLE•Frontiers in Psychiatry•2018

    Background and Objective: The default mode network (DMN) may be an important component involved in the broad-scale cognitive problems seen in patients with first-episode treatment-naive depression. Nevertheless, information is scarce regarding the changes in network homogeneity (NH) found in the DMN of these patients. Therefore, in this study, we explored the NH of the DMN in patients with first-episode treatment-naive depression. Methods: The st…

  • Decreased resting-state neural signal in the left angular gyrus as a potential neuroimaging biomarker of schizophrenia

    Open Access•Yujun Gao, Xin Tong et al.•ARTICLE•Frontiers in Psychiatry•2022

    These data indicate that SCH patients may exhibit characteristic reductions in regional brain activity, with decreased ALFF values of the bilateral PCu potentially offering value as a candidate biomarker capable of distinguishing between SCH patients and HCs

  • Abnormal Ventral Somatomotor Network Homogeneity in Patients With Temporal Lobe Epilepsy

    Open Access•Dongbin Li, Ruoshi Liu et al.•ARTICLE•Frontiers in Psychiatry•2022

    Our findings suggest that altered NH of the postcentral gyrus, Rolandic operculum and STG might be associated with the pathophysiology of TLE, and thus, highlight the contribution of the VSN to the pathophysiology of TLE

  • Abnormal degree centrality values as a potential imaging biomarker for major depressive disorder

    Open Access•Hang Lin, Xi Xiang et al.•ARTICLE•Frontiers in Psychiatry•2022

    Our study demonstrated abnormal DC patterns in patients with MDD. Aberrant DC values in the left anterior cerebellar lobe and right caudate could be presented as potential imaging biomarkers for the diagnosis of MDD

  • Abnormal degree centrality in first-episode medication-free adolescent depression at rest

    Open Access•Xin Guo, Wei Wang et al.•ARTICLE•Frontiers in Psychiatry•2022

    These results suggest that whole-brain network centrality abnormalities may be present in many brain regions in adolescent depression patients. Accordingly, these DC maps may hold value as candidate neuroimaging biomarkers capable of differentiating between adolescents who are and are not affected by MDD, although further validation of these results will be critical

  • The neural correlation of emotion recognition ability and depressive symptoms–evidence from the HCP database

    Open Access•Ze Yuan, Lin Xiao et al.•ARTICLE•Frontiers in Psychiatry•2023

    The core brain regions centered on the inferior orbitofrontal cortex such as middle temporal gyrus, precuneus lobe, frontal pole, insula and cingulate gyrus are the potential neuroimaging basis for the interaction between depressive symptoms and emotional recognition

  • Co-prescription of aripiprazole on prolactin levels in long-term hospitalized chronic schizophrenic patients with co-morbid type 2 diabetes

    Open Access•Xuebing Liu, Xianzhi Sun et al.•ARTICLE•Frontiers in Psychiatry•2023

    Aripiprazole not only worsened the severity of index disturbances associated to metabolism in long-term hospitalized chronic schizophrenia patients with co-T2DM on metformin-based hypoglycemic medications but also failed to lower PRL levels

  • Structural Foundation of AI-Driven Digital Innovation and ESG Performance

    Open Access•Yao Pan, Abad Alzuman et al.•ARTICLE•The Journal of Environment &…•2026

    The integration of artificial intelligence (AI) into business operations is a critical driver of digital innovation and a firm’s ESG performance. This study examines the impact of AI on digital innovation and ESG performance within the Turkish service and manufacturing sectors, with a focus on underrepresented groups, including women and immigrants. This study uses structural equation modeling (SEM) to examine how AI influences ESG performance th…

Functional Brain Connectivity Studies (6 works) · Medicine (6 works) · Psychology (6 works) · Neuroscience (5 works) · Functional magnetic resonance imaging (4 works) · Internal Medicine (4 works) · Psychiatry (4 works) · Audiology (3 works) · EEG and Brain-Computer Interfaces (3 works) · Magnetic resonance imaging (3 works)

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