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ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Addictive Disorders
Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1520496
This article is part of the Research Topic Impulsivity and Compulsivity Related to Substance Use Disorders View all 11 articles
Classification of Intrusive Thought Patterns Based on Differences in the Mechanisms of Occurrence and Persistence
Provisionally accepted
Saki Hinuma 1
Hiroyoshi Ogishima 2*
Hironori Shimada 3
Yuki Tanaka 4 Masumi Osao 5 Chihiro Moriishi 6 Shugo Obata 7- 1 Department of Clinical Psychology, Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Tokyo, Japan
- 2 Division of Information Science, Nara Institute of Science and Technology, Nara, Nara, Japan
- 3 Faculty of Human Sciences, Waseda University, Saitama, Kanagawa, Japan
- 4 Faculty of Humanities, Wayo Women’s University, Chiba, Japan
- 5 Yoyogi Sleep Disorder Center, Tokyo, Japan
- 6 Human Informatics and Interaction Research Institute, the National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Ōsaka, Japan
- 7 Department of Clinical Psychology, International University of Health and Welfare, Tokyo, Japan
This study explores the classification of intrusive thought patterns through a cognitivebehavioral framework, with a focus on the mechanisms driving their occurrence and maintenance. Using coclustering techniques, we identify key factors such as stress responses, obsessive beliefs, and coping strategies that contribute to intrusive thoughts both in individuals with elevated tendencies for OCD and those without such tendencies. Our findings reveal diverse psychological states and thought patterns, offering insights into personalized interventions for intrusive thoughts and compulsive behaviors, including those associated with substance use disorders.
Keywords: intrusive thoughts, co-clustering, Obsessive-compulsive disorder (OCD), coping strategy, Cognitive behavioral theory
Received: 31 Oct 2024; Accepted: 21 Feb 2025.
Copyright: © 2025 Hinuma, Ogishima, Shimada, Tanaka, Osao, Moriishi and Obata. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hiroyoshi Ogishima, Division of Information Science, Nara Institute of Science and Technology, Nara, Nara, Japan
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