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Preprint . 2025
License: CC BY
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Terminal Dream Hypothesis (TDH)

Authors: Evgeny Matveenko;

Terminal Dream Hypothesis (TDH)

Abstract

It's a well-known fact that time flows differently in dreams compared to reality, and this servesas the starting point for my hypothesis. In this paper, I extrapolate this idea to the final stages oflife, leading to what I call the Terminal Dream Hypothesis (TDH). According to TDH, whencerebral ischemia begins, it sets off an uncontrolled neurochemical cascade—involving spikes inacetylcholine, dopamine, and possibly DMT. This creates a super-intense state much like REMsleep. At the same time, the neural networks handling our sense of time sequence break downquickly, causing a huge gap between what we feel subjectively and actual time. So, somethingthat lasts just seconds or minutes in the real world feels like an endless, vibrant, ongoing dreamto the person experiencing it, with the limbic system going into overdrive and cutting off outsideinputs. In short, TDH gives a straightforward, materialist take on near-death experiences (likereviewing your life or feeling eternity) without needing any dualism. It comes with testablepredictions, such as spotting gamma oscillations on EEGs of dying patients that mimic REMsleep, or linking survivors' stories to expected neurochemical patterns. This bridges the gapbetween personal experiences and brain science, opening doors for real-world testing in labs andclinics.

Keywords

near-death experiences, terminal consciousness, rapid eye movement sleep, time perception, neurochemical surge, DMT

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green