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  5. I overthink—therefore I am not: Altered Sense of Self and Agency in Depersonalisation Disorder

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Preprint
en
2021

I overthink—therefore I am not: Altered Sense of Self and Agency in Depersonalisation Disorder

0 Datasets

0 Files

en
2021
DOI: 10.31234/osf.io/k9d2n

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Karl Friston
Karl Friston

University College London

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Anna Ciaunica
Casper Hesp
Anil K. Seth
+2 more

Abstract

This paper considers the phenomenology of depersonalisation disorder, in relation to predictive processing and its associated pathophysiology. To do this, we first establish a few mechanistic tenets of predictive processing that are necessary to talk about phenomenal transparency, mental action, and self as subject. We briefly review the important role of ‘predicting precision’ and how this affords mental action and the loss of phenomenal transparency. We then turn to sensory attenuation and the phenomenal consequences of (pathophysiological) failures to attenuate or modulate sensory precision. We then consider this failure in the context of depersonalisation disorder. The key idea here is that depersonalisation disorder reflects the remarkable capacity to explain perceptual engagement with the world via the hypothesis that “I am an embodied perceiver, but I am not in control of my perception”. We suggest that individuals with depersonalisation may believe that ‘another agent’ is controlling their thoughts, perceptions or actions, while maintaining full insight that the ‘another agent’ is ‘me’ (the self). Finally, we rehearse the predictions of this formal analysis, with a special focus on the psychophysical and physiological abnormalities that may underwrite the phenomenology of depersonalisation.

How to cite this publication

Anna Ciaunica, Casper Hesp, Anil K. Seth, Jakub Limanowski, Karl Friston (2021). I overthink—therefore I am not: Altered Sense of Self and Agency in Depersonalisation Disorder. , DOI: https://doi.org/10.31234/osf.io/k9d2n.

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Publication Details

Type

Preprint

Year

2021

Authors

5

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.31234/osf.io/k9d2n

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