An Adaptive Network Model for Sleep Paralysis: The Risk Factors and Working Mechanisms

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Abstract

In this paper, an adaptive network model is presented for working mechanisms and risk factors of sleep paralysis with and without hallucinations. Sleep paralysis is a mysterious phenomenon where a person is awake but not able to move. Correspondingly, people can experience hallucinations and if so, often in a horrifying manner. The introduced network model covers the potential role of serotonin, temporoparietal junction, amygdala, 5-HT2AR receptor and covers the influence of risk factors as sleep deprivation, alcohol use, and the HT2AR gene.

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Huijzer, W., & Treur, J. (2021). An Adaptive Network Model for Sleep Paralysis: The Risk Factors and Working Mechanisms. In Lecture Notes in Networks and Systems (Vol. 232 LNNS, pp. 540–556). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-90318-3_44

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