Evidence map›Paper›PMID 39265570›Full record

ArticleCurrent biology : CB2024

Cingulate to septal circuitry facilitates the preference to affiliate with large peer groups.

Brandon A Fricker, Malavika Murugan, Ashley W Seifert, Aubrey M Kelly

Abstract read
In one paragraph

Article in Current biology : CB, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Safety in numbers.Nature reviews. Neuroscience · 2024
    Article
  4. 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

4 authors.

Brandon A FrickerDepartment of Psychology, Emory University, 36 Eagle Row, Atlanta, GA 30322, USA.
Malavika MuruganDepartment of Biology, Emory University, 1510 Clifton Road NE, Atlanta, GA 30322, USA.
Ashley W SeifertDepartment of Biology, University of Kentucky, 211 Thomas Hunt Morgan Building, Lexington, KY 40506, USA.
Aubrey M KellyDepartment of Psychology, Emory University, 36 Eagle Row, Atlanta, GA 30322, USA. Electronic address: aubrey.kelly@emory.edu.

Funding

Macrophage phenotype orchestrates mammalian tissue regenerationR01AR070313 · NIAMS · UNIVERSITY OF KENTUCKY · PI Ashley Winn Seifert · 2017 to 2026
$3.3M
Prefrontal circuits in processing social versus non-social rewardsR01MH130755 · NIMH · EMORY UNIVERSITY · PI Malavika Murugan · 2023 to 2026
$1.5M
NIAMS NIH HHS R01 AR070313NIMH NIH HHS R01 MH130755
6 · The paper itself

Abstract

Despite the prevalence of large-group living across the animal kingdom, no studies have examined the neural mechanisms that make group living possible. Spiny mice, Acomys, have evolved to live in large groups and exhibit a preference to affiliate with large over small groups. Here, we determine the neural circuitry that facilitates the drive to affiliate with large groups. We first identify an anterior cingulate cortex (ACC) to lateral septum (LS) circuit that is more responsive to large than small groups of novel same-sex peers. Using chemogenetics, we then demonstrate that this circuit is necessary for both male and female group investigation preferences but only males' preference to affiliate with larger peer groups. Furthermore, inhibition of the ACC-LS circuit specifically impairs social, but not nonsocial, affiliative grouping preferences. These findings reveal a key circuit for the regulation of mammalian peer group affiliation.

Indexed as

Gyrus CinguliAnimalsArvicolinaeFemaleMalePeer GroupSocial Behavioraffiliationanterior cingulate cortexchemogeneticslateral septumpeer group preferencesocial behaviorsocial investigationspiny mouse

Identifiers

PMID39265570
PMCPMC11486304

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Registered trials

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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.