ijerph-logo

Journal Browser

Journal Browser

Computational Approaches in Psychiatry and Neuropsychiatry: Issues and Challenges on Mental Disorders

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 3333

Special Issue Editors


E-Mail Website
Guest Editor
Institute of Computer Sciences, Polish Academy of Sciences, 01-248 Warszawa, Poland
Interests: automated deception detection; sentiment analysis; computational psychiatry
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Psychiatry and Neurology, Sobieskiego 9, 02-957 Warszawa, Poland
Interests: clinical psychiatry; mental health; anxiety disorders

Special Issue Information

Dear Colleagues,

Reduced availability of psychiatrists and therapists, the increasing supply of computational resources, and the ease of large-scale data processing have amplified the value of computing-based methods, allowing at least partial automation of some activities related to the diagnosis and treatment of mental disorders.

This Special Issue is devoted to computer methods of assisting researchers and clinicians in the fields of psychology, psychiatry and neuropsychiatry. We are seeking articles that address screening, clinical diagnosis, and therapy, using all kinds of computational methods. Deep learning and machine learning are of particular interest, but submissions from broadly understood computational data analysis are also welcome.

Potential topics include (but are not limited to):

  • Methods supporting clinical diagnosis and treatment using computer-based approaches.
  • Using computational data analysis to identify disorder-related signals at various stages.
  • Detecting phenomena such as prosody, emotions, sentiment, metaphors, and various semantic, syntactic, and behavioral patterns in relation to mental disorders and psychiatric conditions.
  • Automated disorder detection from one modality data (e.g., text, sound, and video).
  • Automated disorder detection from multimodal data.
  • Hybrid methods, data fusion, and the design of effective multimodal feature spaces and vector representations.
  • Using social media data to detect potential disorders from online samples to support large-scale automated screening.
  • Deep learning applied to neuroimaging data (e.g., MRI, EEG) to diagnose disorders.
  • Computer support for therapy and treatment, including avatars and therapy bots using both text and multimodal interfaces.
  • Issues of dialogue systems and natural language generation.

Dr. Aleksander Wawer
Dr. Izabela Stefaniak
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computational psychiatry
  • disorder detection using machine learning
  • automating diagnosis
  • computer-aided therapy

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 1553 KiB  
Article
Co-Transformation of Digital Health and eSport in Metaverse: Moderating Effects of Digital Personality on Mental Health in Multiplayer Online Battle Arena (MOBA)
by Lin Cai, Zengsong Huang, Qiujin Feng, Xiaoming Chang and Kexin Yan
Int. J. Environ. Res. Public Health 2023, 20(1), 760; https://doi.org/10.3390/ijerph20010760 - 31 Dec 2022
Cited by 8 | Viewed by 3069
Abstract
Mental health issues (e.g., social exclusion, depression, anxiety, and burnout) became highly prevalent in the global eSport industry. Likewise, the eSport trend in China also dramatically increased, while the attitudes and behaviours of the players also impacted their intentions to utilize video gaming. [...] Read more.
Mental health issues (e.g., social exclusion, depression, anxiety, and burnout) became highly prevalent in the global eSport industry. Likewise, the eSport trend in China also dramatically increased, while the attitudes and behaviours of the players also impacted their intentions to utilize video gaming. As China became the epicentre of the online video gaming industry, especially MOBA, it primarily influenced young athletes to adopt video gaming strategies for training purposes. Still, preventive measures are needed for video gaming addictions by athletes to improve their overall eSport performance. To conduct this study, self-administered questionnaires were distributed to 400 athletes aged 18–27 years; the response rate was adequate after screening, out of which 345 were finalized for the data analysis. The results indicate that metaverse-based digital healthcare significantly impacts eSport performance. Moreover, mental health significantly mediated the relationship between metaverse-based digital health and eSport performance. In addition, the digital personality also significantly moderated the relationship between metaverse-based digital healthcare and eSport performance. This research holds tremendous significance both from theoretical and practical perspectives. The study adds valuable insights to the growing body of literature regarding eSport gaming and mental health. The beneficial and constructive intuitions regarding eSport from a psychological perspective can be gained from this study, along with its pros and cons on the mental health of young Chinese athletes. Full article
Show Figures

Figure 1

Back to TopTop