Evidence map›Paper›PMID 40437139›Full record

ArticleNature computational science2025

A computational approach to evaluate how molecular mechanisms impact large-scale brain activity.

Maria Sacha, Federico Tesler, Rodrigo Cofre, Alain Destexhe

Abstract read
In one paragraph

Article in Nature computational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Spatially structured heterogeneity shapes large-scale cortical dynamics in a model of the human cortex.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

4 authors.

Maria Sacha *Paris-Saclay University, CNRS, Paris-Saclay Institute of Neuroscience (NeuroPSI), Saclay, France.
Federico Tesler *Paris-Saclay University, CNRS, Paris-Saclay Institute of Neuroscience (NeuroPSI), Saclay, France.
Rodrigo CofreParis-Saclay University, CNRS, Paris-Saclay Institute of Neuroscience (NeuroPSI), Saclay, France.ORCID 0000-0002-7498-7122
Alain DestexheParis-Saclay University, CNRS, Paris-Saclay Institute of Neuroscience (NeuroPSI), Saclay, France. alain.destexhe@cnrs.fr.ORCID 0000-0001-7405-0455

Funding

European Commission (EC) H2020-945539
6 · The paper itself

Abstract

Assessing the impact of pharmaceutical compounds on brain activity is a critical issue in contemporary neuroscience. Currently, no systematic approach exists for evaluating these effects in whole-brain models, which typically focus on macroscopic phenomena, while pharmaceutical interventions operate at the molecular scale. Here we address this issue by presenting a computational approach for brain simulations using biophysically grounded mean-field models that integrate membrane conductances and synaptic receptors, showcased in the example of anesthesia. We show that anesthetics targeting GABA

Indexed as

BrainModels, NeurologicalAnestheticsAnimalsComputer SimulationHumansReceptors, GABA-AReceptors, N-Methyl-D-AspartateAnestheticsReceptors, GABA-AReceptors, N-Methyl-D-Aspartate

Identifiers

PMID40437139
PMCPMC12119344

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.