Evidence map›Paper›PMID 36443640›Full record

ArticleCommunications biology2022

Global dissociation of the posterior amygdala from the rest of the brain during REM sleep.

Marta Matei, Antoine Bergel, Sophie Pezet, Mickaël Tanter

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

4 authors.

Marta Matei *Physics for Medicine Paris, Inserm U1273, ESPCI Paris, CNRS UMR 8063, Paris Sciences et Lettres research University, Paris, France.
Antoine Bergel *Physics for Medicine Paris, Inserm U1273, ESPCI Paris, CNRS UMR 8063, Paris Sciences et Lettres research University, Paris, France.ORCID 0000-0002-3011-205X
Sophie PezetPhysics for Medicine Paris, Inserm U1273, ESPCI Paris, CNRS UMR 8063, Paris Sciences et Lettres research University, Paris, France.ORCID 0000-0002-3305-3315
Mickaël TanterPhysics for Medicine Paris, Inserm U1273, ESPCI Paris, CNRS UMR 8063, Paris Sciences et Lettres research University, Paris, France. mickael.tanter@espci.fr.ORCID 0000-0001-7739-8051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid-eye-movement sleep (REMS) or paradoxical sleep is associated with intense neuronal activity, fluctuations in autonomic control, body paralysis and brain-wide hyperemia. The mechanisms and functions of these energy-demanding patterns remain elusive and a global picture of brain activation during REMS is currently missing. In the present work, we performed functional ultrasound imaging on rats over multiple coronal and sagittal brain sections during hundreds of spontaneous REMS episodes to provide the spatiotemporal dynamics of vascular activity in 259 brain regions spanning more than 2/3 of the total brain volume. We first demonstrate a dissociation between basal/midbrain and cortical structures, the first ones sustaining tonic activation during REMS while the others are activated in phasic bouts. Second, we isolated the vascular compartment in our recordings and identified arteries in the anterior part of the brain as strongly involved in the blood supply during REMS episodes. Finally, we report a peculiar activation pattern in the posterior amygdala, which is strikingly disconnected from the rest of the brain during most REMS episodes. This last finding suggests that the amygdala undergoes specific processing during REMS and may be linked to the regulation of emotions and the creation of dream content during this very state.

Indexed as

BrainSleep, REMAmygdalaAnimalsEmotionsMesencephalonRats

Identifiers

PMID36443640
PMCPMC9705305

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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 OpenQuestion graph.