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Call for papers - Computational psychiatry

Guest Editors

Zhiyi Chen, PhD, Third Military Medical University, China 
Jony Sheynin, PhD, Texas A&M University, USA

Submission Status: Open   |   Submission Deadline: 6 May 2025


BMC Psychiatry welcomes submissions to our Computational psychiatry Collection. This Collection seeks to showcase research that applies computational methods, develops predictive models for treatment response, and explores the ethical implications of computational psychiatry. By bridging computational modeling with clinical psychiatry, this Collection aims to drive innovation in precision medicine and improve mental health outcomes.

Meet the Guest Editors

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Zhiyi Chen, PhD, Third Military Medical University, China

Dr Zhiyi Chen is currently appointed to a professorship at the Third Military Medical University School of Psychology, and is the designated director of its Experimental Research Center for Medical and Psychological Science. His research expertise lies in computational neuroimaging, machine learning, and human decision making (e.g., human procrastination behaviors). Dr Chen's recent work involves meta-research and open science, especially concerning authorship inequalities, overfitting issues and improving the quality and reliability of AI-based neuropsychiatric diagnoses. He currently serves on the board of executives in the Chinese Open Science Network (COSN).

Jony Sheynin, PhD, Texas A&M University, USA 

Dr Jony Sheynin obtained his PhD degree in Biomedical Engineering from Rutgers University, where he followed empirical and computational approaches to study approach-avoidance behavior in humans. He then completed a post-doctoral training in the Department of Psychiatry at University of Michigan, where he used functional MRI (fMRI) to study neural alterations in Post-traumatic Stress Disorder. He is currently a Research Assistant Professor in the Department of Psychiatry and Behavioral Science at Texas A&M University. He conducts research on psychopathologies and neurological conditions, focusing on the following domains: (1) Studying neural patterns using fMRI; (2) Studying decision-making patterns using computer tasks; (3) Studying the cognitive mechanisms that underlie maladaptive processes using computational modeling. 
 

About the Collection

BMC Psychiatry is calling for submissions to our Collection on Computational psychiatry. This Collection aims to gather groundbreaking studies that explore the integration of computational methods and psychiatric research, promoting a deeper understanding of mental health disorders and their treatment. We invite contributions that highlight innovative approaches and interdisciplinary collaborations, advancing the frontiers of psychiatric knowledge.

Continued research in computational psychiatry holds the potential for significant future advances. With ongoing investigation, we anticipate the refinement of predictive models for early intervention and prevention of mental disorders, the development of novel digital tools for monitoring and managing psychiatric symptoms, and the integration of computational approaches into routine clinical practice. Furthermore, the application of computational psychiatry in global mental health initiatives and the exploration of its ethical implications are areas that warrant further exploration.

Topics of interest include, but are not limited to:

  • Computational models of psychiatric disorders and symptoms
  • Big data, machine learning, and AI applications
  • Neuroimaging and data analysis
  • Predictive analytics and personalized medicine
  • Digital phenotyping and mobile health technologies
  • Network analysis and systems psychiatry
  • Ethical considerations in computational psychiatry
  • Translational research bridging computational and clinical psychiatry
     

We encourage submissions that provide new insights, methodologies, and perspectives, fostering a rich dialogue within the psychiatric community. By bringing together diverse research efforts, this Collection aims to create a comprehensive resource for understanding and addressing the complexities of mental health through computational approaches.

Image credit: © Lee / stock.adobe.com

  1. Nonsuicidal self-injury is a common health problem in adolescents and associated with future suicidal behavior. Predicting who will benefit from treatment is an urgent and a critical first step towards persona...

    Authors: Moa Pontén, Oskar Flygare, Martin Bellander, Moa Karemyr, Jannike Nilbrink, Clara Hellner, Olivia Ojala and Johan Bjureberg
    Citation: BMC Psychiatry 2024 24:904
    Content type: Research Published on:

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Computational psychiatry" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.

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