Evidence map›Paper›PMID 40387303›Full record

ReviewJournal of sleep research2025

The Future of Parasomnias.

Claudia Picard-Deland, Matteo Cesari, Ambra Stefani, Jean-Baptiste Maranci, Birgit Hogl, Isabelle Arnulf

Abstract readReview
In one paragraph

Review in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. The Future of Parasomnias.Journal of sleep research · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Claudia Picard-DelandDreamTeam, Paris Brain Institute, Paris, France.ORCID 0000-0001-9605-8132
Matteo CesariDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0001-6554-1033
Ambra StefaniDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-4259-8824
Jean-Baptiste MaranciDreamTeam, Paris Brain Institute, Paris, France.ORCID 0000-0002-0817-4262
Birgit HoglDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-1894-7641
Isabelle ArnulfDreamTeam, Paris Brain Institute, Paris, France.ORCID 0000-0002-2240-2516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parasomnias are abnormal behaviours or mental experiences during sleep or the sleep-wake transition. As disorders of arousal (DOA) or REM sleep behaviour disorder (RBD) can be difficult to capture in the sleep laboratory and may need to be diagnosed in large communities, new home diagnostic devices are being developed, including actigraphy, EEG headbands, as well as 2D infrared and 3D time of flight home cameras (often with automatic analysis). Traditional video-polysomnographic diagnostic criteria for RBD and DOA are becoming more accurate, and deep learning methods are beginning to accurately classify abnormal polysomnographic signals in these disorders. Big data from vast collections of clinical, cognitive, brain imaging, DNA and polysomnography data have provided new information on the factors that are associated with parasomnia and, in the case of RBD, may predict the individual risk of conversion to an overt neurodegenerative disease. Dream engineering, including targeted reactivation of memory during sleep, combined with image repetition therapy and lucid dreaming, is helping to alleviate nightmares in patients. On a political level, RBD has brought together specialists in abnormal movements and sleep neurologists, and research into nightmares and sleep-wake dissociations has brought together sleep and consciousness scientists.

Indexed as

ParasomniasActigraphyDreamsElectroencephalographyHumansPolysomnographyREM Sleep Behavior Disorderbig datacomputerised methodshome videoParasomniaprodromal neurodegeneration

Identifiers

PMID40387303
PMCPMC12426708

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.