Zhengjun Hu
Dados Biográficos
| ID | 7801988 |
|---|---|
| NOME | Zhengjun Hu |
| PRENOMES | Zhengjun |
| SOBRENOME | Hu |
| ASSINATURA | HU Z |
| AFILIAÇÕES | Huazhong University of Science and Technology |
| ORCID | 0009-0000-7346-9174 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 2 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2022 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 0 |
The relationships between short video addiction, subjective well-being, social support, personality, and core self-evaluation
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
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 …
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Orbitofrontal Cortex Functional Connectivity-Based Classification for Chronic Insomnia Disorder Patients With Depression Symptoms
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
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 obras) · Clinical Psychology (2 obras) · Mental Health Research Topics (2 obras) · Psychiatry (2 obras) · Psychology (2 obras) · Addiction (1 obra) · Advanced Neuroimaging Techniques and Applications (1 obra) · Big Five personality traits (1 obra) · Cognition (1 obra) · Default mode network (1 obra)