Evidence map›Paper›PMID 41040254›Full record

ArticlebioRxiv : the preprint server for biology2025

Context rescales a social action code in a hormone-sensitive network.

Eartha Mae Guthman, Jorge M Iravedra-Garcia, Lucy Sirrs, Alissa Le, Annegret L Falkner

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Eartha Mae GuthmanPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08540, U.S.A.
Jorge M Iravedra-GarciaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08540, U.S.A.
Lucy SirrsPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08540, U.S.A.
Alissa LePrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08540, U.S.A.
Annegret L FalknerPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08540, U.S.A.ORCID 0000-0001-9756-7887

Funding

Mapping experience-dependent change in a circuit for aggressionR01MH126035 · NIMH · PRINCETON UNIVERSITY · PI FALKNER, ANNEGRET LEA · 2021 to 2025
$2.6M
Generating pro-resilient states through individualized circuit read-write therapeuticsDP2MH126375 · NIMH · PRINCETON UNIVERSITY · PI FALKNER, ANNEGRET LEA · 2020 to 2020
$2.4M
Mapping Neural Dynamics in Hormone-sensitive NetworksK99MH135212 · NIMH · PRINCETON UNIVERSITY · PI GUTHMAN, EARTHA MAE · 2024 to 2025
$272k
Experience dependent regulation of subcortical neural circuits for aggressionF32MH126562 · NIMH · PRINCETON UNIVERSITY · PI GUTHMAN, EARTHA MAE · 2022 to 2024
$169k
NIMH NIH HHS DP2 MH126375NIMH NIH HHS F32 MH126562NIMH NIH HHS K99 MH135212NIMH NIH HHS R01 MH126035
6 · The paper itself

Abstract

Deciding whether and when to engage in social interaction depends on external factors including the location of the interaction and the identity of the social partner (the social "context") as well as internal factors such as an individual's hormonal state. However, we lack a mechanistic understanding of how external and internal variables coordinate social action through networks of hormone-sensitive neurons. In particular, while gonadal hormones have long been suggested to coordinate territorial behaviors, direct evidence of how this coordination occurs has been lacking. To answer this, we combined large-scale neural recordings with large-scale unsupervised behavioral quantification

Identifiers

PMID41040254
PMCPMC12485785

What OpenQuestion 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 OpenQuestion graph.