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Zhengjun Hu

Biographic Data

ID7801988
NAMEZhengjun Hu
GIVEN NAMESZhengjun
FAMILY NAMEHu
SIGNATUREHU Z
AFFILIATIONSHuazhong University of Science and Technology
ORCID0009-0000-7346-9174
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0
  • The relationships between short video addiction, subjective well-being, social support, personality, and core self-evaluation

    Open Access•Jie Ding, Zhengjun Hu et al.•ARTICLE•BMC Public Health•2024

    This study reveals that students with low extraversion, low SS and CSE scores tend to become addicted to short videos. SVA has negatively affected these personal traits. Our study explored the heterogeneity of SVA among college students from an individual-centered perspective, providing empirical support for scientifically and reasonably guiding the use of short videos among college students

  • Orbitofrontal Cortex Functional Connectivity-Based Classification for Chronic Insomnia Disorder Patients With Depression Symptoms

    Open Access•Liang Gong, Ronghua Xu et al.•ARTICLE•Frontiers in Psychiatry•2022

    Depression is a common comorbid symptom in patients with chronic insomnia disorder (CID). Previous neuroimaging studies found that the orbital frontal cortex (OFC) might be the core brain region linking insomnia and depression. Here, we used a machine learning approach to differentiate CID patients with depressive symptoms from CID patients without depressive symptoms based on OFC functional connectivity. Seventy patients with CID were recruited …

No prominent works on this page.

  • Orbitofrontal Cortex Functional Connectivity-Based Classification for Chronic Insomnia Disorder Patients With Depression Symptoms

    Open Access•Liang Gong, Ronghua Xu et al.•ARTICLE•Frontiers in Psychiatry•2022

    Depression is a common comorbid symptom in patients with chronic insomnia disorder (CID). Previous neuroimaging studies found that the orbital frontal cortex (OFC) might be the core brain region linking insomnia and depression. Here, we used a machine learning approach to differentiate CID patients with depressive symptoms from CID patients without depressive symptoms based on OFC functional connectivity. Seventy patients with CID were recruited …

  • The relationships between short video addiction, subjective well-being, social support, personality, and core self-evaluation

    Open Access•Jie Ding, Zhengjun Hu et al.•ARTICLE•BMC Public Health•2024

    This study reveals that students with low extraversion, low SS and CSE scores tend to become addicted to short videos. SVA has negatively affected these personal traits. Our study explored the heterogeneity of SVA among college students from an individual-centered perspective, providing empirical support for scientifically and reasonably guiding the use of short videos among college students

Clinical Psychology (2 works) · Clinical Psychology (2 works) · Mental Health Research Topics (2 works) · Psychiatry (2 works) · Psychology (2 works) · Addiction (1 work) · Advanced Neuroimaging Techniques and Applications (1 work) · Big Five personality traits (1 work) · Cognition (1 work) · Default mode network (1 work)

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