We examined the physiological correlates of insomnia in a large dataset. Brain recordings are rarely performed in insomnia. Partly because they sometimes contradict patients’ report: some people complain from insomnia but show "normal" sleep recordings ("paradoxical insomnia")
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To understand insomnia's physiology, we looked at brain recordings (
#EEG) at different levels. 1/ Macro level obtained with visual inspection. 2/ Meso: more fine-grained, looks at the spectrum (neural dynamics). 3/ Micro, targets specific brain rhythms (slow waves, spindles)Prikaži ovu nit -
Discrepancies between what people report and what we record exist only superficially, at the macro level, when looking at the data visually. Quantitative analyses (meso + micro) show striking similarities across insomnia groups and in contrast with good sleepers.
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In particular, insomnia patients show more wake-like rhythms during sleep. As if their brain was not separating wake and sleep as well as good sleepers.
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It is not only that wake oscillations are more prevalent. Insomnia affects sleep rhythms as well. The brain produces less slow waves; more and faster sleep spindles. This pattern could result from an increased cortical excitability: sleeping brains more awake than they should!
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Overall, our results confirm that insomnia is not only about sleeping less: sleep itself is impacted. Global, visual analyses (classically done) are not enough. We argue that an increase in cortical excitability represents an interesting framework to understand and cure insomnia
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As we show, most of our analyses can be automatised and used to diagnose insomnia subtypes with very high accuracy. Quantitative analyses,
#AI and the existence of portable brain recording systems make now sleep recordings highly valuable!Prikaži ovu nit -
This study was part of a broader project on the use of
#AI in sleep medicine with Paris-Descartes Uni,@Polytechnique and@dreem_official funded by@Bpifrance. I also thank the@turnerinstitute for its support!Prikaži ovu nit -
Our article is part of a special issue in Sleep Medicine on "Artificial Intelligence and Sleep": check it out! https://www.sciencedirect.com/journal/sleep-medicine/special-issue/10B5LCK8972 …
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Permanent link: https://doi.org/10.1016/j.sleep.2019.12.002 …
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