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Shao-Cheng Wang

Dados Biográficos

ID7956930
NOMEShao-Cheng Wang
PRENOMESShao-Cheng
SOBRENOMEWang
ASSINATURAWANG S
AFILIAÇÕESJohns Hopkins University
ORCID0000-0002-7009-5338
VERIFICADOSim
TOTAL DE OBRAS5
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0
  • Trauma-related guilt as a mediator between post-traumatic stress disorder and suicidal ideation

    Open Access•Po‐Han Chou, Po-Han Chou et al.•ARTICLE•Frontiers in Psychiatry•2023

    Our results implied that trauma-related guilt may represent a critical link between PTSD and suicidal ideation, which may be a noteworthy target for therapeutic intervention

  • Associations between frontal lobe activity and depressive symptoms in patients with major depressive disorder receiving rTMS treatment

    Open Access•Po‐Han Chou, Wen‐Chun Liu et al.•ARTICLE•Frontiers in Psychiatry•2023

    The findings from this study indicate distinct patterns of frontal lobe activity between responders and non-responders to rTMS treatment, suggesting that NIRS has the potential to serve as a biomarker for monitoring treatment response in MDD patients undergoing rTMS

  • A machine-learning model to predict suicide risk in Japan based on national survey data

    Open Access•Po‐Han Chou, Po-Han Chou et al.•ARTICLE•Frontiers in Psychiatry•2022

    This prognostic study suggests the ability to identify patients at a high risk of suicide using an online survey method. In addition to confirming several well-known risk factors of suicide, new risk measures related to trauma and trauma-related experiences were also identified, which may help guide future clinical assessments and early intervention approaches

  • Associations Between PTSD Symptom Custers and Longitudinal Changes in Suicidal Ideation

    Open Access•Che‐Sheng Chu, Po‐Han Chou et al.•ARTICLE•Frontiers in Psychiatry•2021

    Objective: The association between posttraumatic stress disorder (PTSD) and suicidal ideation (SI) is well-known. However, a few studies have investigated the associations between PTSD symptom clusters based on the fifth edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) and changes in suicide risk longitudinally. Methods: We adopted a longitudinal study design using data from the National Survey for Stress and Health o…

  • Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals

    Open Access•Po‐Han Chou, Yun-Han Yao et al.•ARTICLE•Frontiers in Psychiatry•2021

    Backgrounds: Reduced brain cortical activity over the frontotemporal regions measured by near infrared spectroscopy (NIRS) has been reported in patients with first-episode schizophrenia (FES). This study aimed to differentiate between patients with FES and healthy controls (HCs) on basis of the frontotemporal activity measured by NIRS with a support vector machine (SVM) and deep neural network (DNN) classifier. In addition, we compared the accura…

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  • Associations Between PTSD Symptom Custers and Longitudinal Changes in Suicidal Ideation

    Open Access•Che‐Sheng Chu, Po‐Han Chou et al.•ARTICLE•Frontiers in Psychiatry•2021

    Objective: The association between posttraumatic stress disorder (PTSD) and suicidal ideation (SI) is well-known. However, a few studies have investigated the associations between PTSD symptom clusters based on the fifth edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) and changes in suicide risk longitudinally. Methods: We adopted a longitudinal study design using data from the National Survey for Stress and Health o…

  • Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals

    Open Access•Po‐Han Chou, Yun-Han Yao et al.•ARTICLE•Frontiers in Psychiatry•2021

    Backgrounds: Reduced brain cortical activity over the frontotemporal regions measured by near infrared spectroscopy (NIRS) has been reported in patients with first-episode schizophrenia (FES). This study aimed to differentiate between patients with FES and healthy controls (HCs) on basis of the frontotemporal activity measured by NIRS with a support vector machine (SVM) and deep neural network (DNN) classifier. In addition, we compared the accura…

  • A machine-learning model to predict suicide risk in Japan based on national survey data

    Open Access•Po‐Han Chou, Po-Han Chou et al.•ARTICLE•Frontiers in Psychiatry•2022

    This prognostic study suggests the ability to identify patients at a high risk of suicide using an online survey method. In addition to confirming several well-known risk factors of suicide, new risk measures related to trauma and trauma-related experiences were also identified, which may help guide future clinical assessments and early intervention approaches

  • Trauma-related guilt as a mediator between post-traumatic stress disorder and suicidal ideation

    Open Access•Po‐Han Chou, Po-Han Chou et al.•ARTICLE•Frontiers in Psychiatry•2023

    Our results implied that trauma-related guilt may represent a critical link between PTSD and suicidal ideation, which may be a noteworthy target for therapeutic intervention

  • Associations between frontal lobe activity and depressive symptoms in patients with major depressive disorder receiving rTMS treatment

    Open Access•Po‐Han Chou, Wen‐Chun Liu et al.•ARTICLE•Frontiers in Psychiatry•2023

    The findings from this study indicate distinct patterns of frontal lobe activity between responders and non-responders to rTMS treatment, suggesting that NIRS has the potential to serve as a biomarker for monitoring treatment response in MDD patients undergoing rTMS

Medicine (5 obras) · Psychology (4 obras) · Clinical Psychology (3 obras) · Clinical Psychology (3 obras) · Injury prevention (3 obras) · Poison control (3 obras) · Population (3 obras) · Psychiatry (3 obras) · Suicidal ideation (3 obras) · Suicide and Self-Harm Studies (3 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae