Evidence map›Paper›PMID 21075230›Full record

ReviewProgress in brain research2010

Cognitive neuroscience of sleep.

Gina R Poe, Christine M Walsh, Theresa E Bjorness

Open access · greenAbstract readReview
In one paragraph

Review in Progress in brain research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
23.4field-weighted citation impact, top 1% of its field
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

73 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. CB-1 receptor agonist drastically changes oscillatory activity, defining active sleep.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Review
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  16. Article
  17. Article
  18. Article
  19. Article
  20. Sleep as a Therapeutic Target in the Aging Brain.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019
    Review

13 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 1 country.

Gina R PoeDepartments of Anesthesiology and Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA. ginapoe@umich.edu
Christine M Walsh
Theresa E Bjorness
Michigan Medicine · USThe University of Texas Southwestern Medical Center · USUniversity of Michigan–Ann Arbor · US

Funding

REM SLEEP AND MEMORYR01MH060670 · NIMH · WASHINGTON STATE UNIVERSITY · PI POE, GINA R · 2000 to 2023
$6.4M
CRCNS - Neuromodulation of Hippocampal Synaptic Plasticity in Waking &REM SleepR01MH076280 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI POE, GINA R · 2005 to 2007
$687k
NIMH NIH HHS MH60670NIMH NIH HHS MH76280NIMH NIH HHS R01 MH060670NIMH NIH HHS R01 MH076280
6 · The paper itself

Abstract

Mechanism is at the heart of understanding, and this chapter addresses underlying brain mechanisms and pathways of cognition and the impact of sleep on these processes, especially those serving learning and memory. This chapter reviews the current understanding of the relationship between sleep/waking states and cognition from the perspective afforded by basic neurophysiological investigations. The extensive overlap between sleep mechanisms and the neurophysiology of learning and memory processes provide a foundation for theories of a functional link between the sleep and learning systems. Each of the sleep states, with its attendant alterations in neurophysiology, is associated with facilitation of important functional learning and memory processes. For rapid eye movement (REM) sleep, salient features such as PGO waves, theta synchrony, increased acetylcholine, reduced levels of monoamines and, within the neuron, increased transcription of plasticity-related genes, cumulatively allow for freely occurring bidirectional plasticity, long-term potentiation (LTP) and its reversal, depotentiation. Thus, REM sleep provides a novel neural environment in which the synaptic remodelling essential to learning and cognition can occur, at least within the hippocampal complex. During non-REM sleep Stage 2 spindles, the cessation and subsequent strong bursting of noradrenergic cells and coincident reactivation of hippocampal and cortical targets would also increase synaptic plasticity, allowing targeted bidirectional plasticity in the neocortex as well. In delta non-REM sleep, orderly neuronal reactivation events in phase with slow wave delta activity, together with high protein synthesis levels, would facilitate the events that convert early LTP to long-lasting LTP. Conversely, delta sleep does not activate immediate early genes associated with de novo LTP. This non-REM sleep-unique genetic environment combined with low acetylcholine levels may serve to reduce the strength of cortical circuits that activate in the ~50% of delta-coincident reactivation events that do not appear in their waking firing sequence. The chapter reviews the results of manipulation studies, typically total sleep or REM sleep deprivation, that serve to underscore the functional significance of the phenomenological associations. Finally, the implications of sleep neurophysiology for learning and memory will be considered from a larger perspective in which the association of specific sleep states with both potentiation or depotentiation is integrated into mechanistic models of cognition.

Indexed as

BrainBrain WavesHumansLong-Term PotentiationNeuronsSleep

Identifiers

PMID21075230
PMCPMC4180265
OpenAlexW1638304199

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.