Evidence map›Paper›PMID 38486965›Full record

ArticleCurrent opinion in endocrine and metabolic research2022

The glucocorticoid footprint on the memory engram.

Freddy Jeanneteau, Laurence Coutellier

Abstract read
In one paragraph

Article in Current opinion in endocrine and metabolic research, 2022. 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. Review
  2. Article
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

2 authors.

Freddy JeanneteauInstitut de Génomique Fonctionnelle, University of Montpellier, INSERM, CNRS, Montpellier, France.
Laurence CoutellierDepartments of Psychology and Neuroscience, Ohio State University, Columbus, USA.

Funding

Glucocorticoid receptor phosphorylation in endocrine adaptation to stressR56MH115281 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GARABEDIAN, MICHAEL J. · 2019 to 2020
$1.0M
REGULATION OF GLUCOCORTICOID RECEPTOR BY PHOSPHORYLATIONR01DK054836 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GARABEDIAN, MICHAEL J · 1999 to 2002
$952k
Prefrontal modulation of vulnerability to stress-induced emotional dysregulationR21MH119090 · NIMH · OHIO STATE UNIVERSITY · PI COUTELLIER, LAURENCE D · 2019 to 2020
$436k
NIDDK NIH HHS R01 DK054836NIMH NIH HHS R21 MH119090NIMH NIH HHS R56 MH115281
6 · The paper itself

Abstract

The complexity of the classical inverted U-shaped relationship between cortisol levels and responses transposable to stress reactivity has led to an incomplete understanding of the mechanisms enabling healthy and toxic effects of stress on brain and behavior. A clearer, more detailed, picture of those relationships can be obtained by integrating cortisol effects on large-scale brain networks, in particular, by focusing on neural network configurations from the perspective of inhibition and excitation. A unifying view of Semon and Hebb's theories of cellular memory links the biophysical and metabolic changes in neuronal ensembles to the strengthening of collective synapses. In that sense, the neuronal capacity to record, store, and retrieve information directly relates to the adaptive capacity of its connectivity and metabolic reserves. Here, we use task-activated cell ensembles or simply engram cells as an example to demonstrate that the adaptive behavioral responses to stress result from collective synapse strength within and across networks of interneurons and excitatory ones.

Indexed as

ExcitationFunctional connectivityInhibitionLarge-scale brain networksRetrograde signalingSynapse

Identifiers

PMID38486965
PMCPMC10938917

What Socratic 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 Socratic graph.