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Mental imagery in psychiatry: conceptual & clinical implications

Published online by Cambridge University Press:  28 January 2019

Julie L. Ji*
Affiliation:
Centre for the Advancement of Research on Emotion, School of Psychological Science, University of Western Australia, Australia
David J. Kavanagh
Affiliation:
Institute of Health & Biomedical Innovation and School of Psychology & Counselling, Queensland University of Technology, Brisbane, Australia
Emily A. Holmes
Affiliation:
Division of Psychology, Department for Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
Colin MacLeod
Affiliation:
Centre for the Advancement of Research on Emotion, School of Psychological Science, University of Western Australia, Australia
Martina Di Simplicio
Affiliation:
Centre for Psychiatry, Imperial College London, UK
*
*Address for correspondence: Dr. Julie L. Ji, School of Psychological Science, The University of Western Australia, 35 Stirling Hwy, Crawley 6009 WA Australia. (Email: julie.ji@uwa.edu.au)
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Abstract

Mental imagery refers to the experience of perception in the absence of external sensory input. Deficits in the ability to generate mental imagery or to distinguish it from actual sensory perception are linked to neurocognitive conditions such as dementia and schizophrenia, respectively. However, the importance of mental imagery to psychiatry extends beyond neurocognitive impairment. Mental imagery has a stronger link to emotion than verbal-linguistic cognition, serving to maintain and amplify emotional states, with downstream impacts on motivation and behavior. As a result, anomalies in the occurrence of emotion-laden mental imagery has transdiagnostic significance for emotion, motivation, and behavioral dysfunction across mental disorders. This review aims to demonstrate the conceptual and clinical significance of mental imagery in psychiatry through examples of mood and anxiety disorders, self-harm and suicidality, and addiction. We contend that focusing on mental imagery assessment in research and clinical practice can increase our understanding of the cognitive basis of psychopathology in mental disorders, with the potential to drive the development of algorithms to aid treatment decision-making and inform transdiagnostic treatment innovation.

Information

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© Cambridge University Press 2019