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Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers.

Ayaka Kato1,2,3, Yoshihiko Kunisato4, Kentaro Katahira5

  • 1Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.

Frontiers in Psychiatry
|December 21, 2020
PubMed
Summary
This summary is machine-generated.

Computational psychiatry research is advancing, but its multidisciplinary nature is challenging. We developed CPSYMAP, a novel research map to visualize and navigate computational psychiatry studies, integrating neuroscience, psychology, and computation.

Keywords:
DSM-5RDoC = Research Domain Criteriacomputational psychiatrydatabaseneuroscienceopen-sciencepsychiatry

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Area of Science:

  • Computational psychiatry
  • Neuroscience
  • Machine learning
  • Psychiatric disorders

Background:

  • Computational psychiatry is a rapidly growing field integrating neuroscience, psychology, and computational methods.
  • Advances in computational neuroscience, machine learning, and understanding psychiatric disorders are driving this growth.
  • The multidisciplinary nature of computational psychiatry presents challenges for research integration and development.

Purpose of the Study:

  • To address the need for a platform that integrates and coordinates diverse perspectives in computational psychiatry.
  • To develop a novel database for visualizing research papers in computational psychiatry.
  • To facilitate the discovery of niche research areas and deepen the understanding of the field.

Main Methods:

  • Development of a new database called the Computational Psychiatry Research Map (CPSYMAP).
  • Visualization of research papers as a two-dimensional map.
  • Mapping papers along neuroscientific, psychiatric, and computational dimensions.

Main Results:

  • CPSYMAP provides a visual representation of the distribution of research papers.
  • The map enables users to identify emerging trends and specialized areas within computational psychiatry.
  • Facilitates a deeper understanding of the field's landscape.

Conclusions:

  • CPSYMAP serves as a valuable tool for researchers in computational psychiatry.
  • The visualization map aids in navigating the complex, multidisciplinary landscape of the field.
  • Promotes integration and coordination of neuroscience, psychiatry, and computational perspectives.