Cognitive Bias Modification in Psychiatric Disorders

A special issue of Psychiatry International (ISSN 2673-5318).

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 3085

Special Issue Editor


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Guest Editor
1. National Addictions Management Service, Institute of Mental Health, Singapore 539747, Singapore
2. Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore 308232, Singapore
Interests: e-health; m-health; addiction psychiatry; psychiatry

Special Issue Information

Dear Colleagues,

The advances in experimental psychology over the last decade has led to the discovery of unconscious, automatic biases, such as that of attentional and approach biases. Prior research has provided evidence for the existence of these automatic biases in several psychiatric disorders, ranging from that of depressive disorders to substance use disorders. The dual-process theoretical model best accounts for the existence of these unconscious processes; and the advances in neurobiological and imaging research has also provided biological explanation for the existence of these biases. Cognitive bias modification, which involves the retraining and modification of these biases, has provided evidence that bias modification could lead to a potential improvement in symptoms.

We hope that this special issue would enable researchers to share their new discovery and findings pertaining to the effectiveness of bias modification amongst the varied psychiatric disorders; and provide an avenue for researchers to share their neuroimaging findings as well. We also hope that this special issue would allow researchers to share how they have utilized technology in enhancing the delivery of bias modification interventions and provide insights into the effectiveness of technologically enabled solutions. We also hope that researchers could highlight some of the individual differences with regards to the presence or absence of cognitive bias amongst individuals. It is hope that the findings shared would help share the future of cognitive bias modification for psychiatric disorders.

Dr. Melvyn Zhang Weibin
Guest Editor

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Keywords

  • cognitive bias
  • cognitive bias modification
  • attention bias: approach bias
  • cognitive bias modification for interpretation
  • psychiatry
  • mental health

Published Papers (1 paper)

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Review

11 pages, 1394 KiB  
Review
Cognitive Biases and Addictive Disorders: A Bibliometric Review
by Melvyn W. B. Zhang
Psychiatry Int. 2022, 3(2), 131-141; https://doi.org/10.3390/psychiatryint3020011 - 08 Apr 2022
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Abstract
Introduction: Since the early 2000s, there have been extensive investigations into cognitive biases in addictive disorders. The advances in the field have led to the discovery that cognitive bias exists in substance disorders and could in turn be modified. To date, there have [...] Read more.
Introduction: Since the early 2000s, there have been extensive investigations into cognitive biases in addictive disorders. The advances in the field have led to the discovery that cognitive bias exists in substance disorders and could in turn be modified. To date, there have been primary studies and meta-analysis demonstrating the existence of these biases and the effectiveness of cognitive bias modification (i.e., whereby such biases are retrained). There remains a lack of understanding of how the field has progressed and the research gaps, in light of the evidences provided by these primary studies. Objectives: A bibliometric analysis of the publications to date was performed to provide a map of the work that has been done so far. This would help researchers to better understand the development of cognitive bias research, the direction of the research, and the recent trends. Methods: For the purposes of this bibliometric research, Web of Science (WOS) was used in the identification of relevant articles. To identify the relevant articles, the following search strategy was implemented, that of ((((((TS = (“cognitive bias”)) OR TS = (“attention bias”)) OR TS = (“approach bias”)) OR TS = (“avoidance bias)) OR TS = (“interpretative bias”))). Bibliometric data analysis was conducted based on the identified articles. Results: A total of 161 citations were eventually included. These citations were published between 1994 and 2022. The average number of citations per documents was 26.73. Of these 161 citations, 122 were articles, 2 were editorials, 3 were corrections to the original manuscript, 5 were reviews, and 29 were meeting abstracts. The analysis of the trend of topics has shown that researchers were focused on understanding and gaining insights into cognitive biases and potentially examining the association between cognitive biases and cravings and aggression in the early days. Over the years, there has been an evolution into examining specific unconscious biases, namely, that of attention and approach biases. In the most recent years, the investigations have been more focused on examining bias modification/retraining. Conclusions: From our knowledge, this is the first bibliometric analysis that has been undertaken to explore all the publications related to cognitive bias in the field of addiction. The insights gained from this article could inform future research. Full article
(This article belongs to the Special Issue Cognitive Bias Modification in Psychiatric Disorders)
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