Evidence map›Paper›PMID 35170839›Full record

ReviewGenes, brain, and behavior2022

Individual differences in social attachment: A multi-disciplinary perspective.

Morgan L Gustison, Steven M Phelps

Abstract readReview
In one paragraph

Review in Genes, brain, and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
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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.

Morgan L GustisonDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-1162-8966
Steven M PhelpsDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-1095-361X

Funding

The bonding brain: Substrates of social attachment in monogamous volesR01MH115267 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI OSTEN, PAVEL, PHELPS, STEVEN M · 2017 to 2021
$3.5M
Neural circuits of vocal communication during social bondingK99MH126164 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI GUSTISON, MORGAN · 2021 to 2022
$213k
NIMH NIH HHS K99 MH126164NIMH NIH HHS R01 MH115267
6 · The paper itself

Abstract

Social behavior varies across both individuals and species. Research to explain this variation falls under the purview of multiple disciplines, each with its own theoretical and empirical traditions. Integration of these disciplinary traditions is key to developing a holistic perspective. Here, we review research on the biology of social attachment, a phenomena in which individuals develop strong affective connections to one another. We provide a historical overview of research on social attachment from psychological, ethological and neurobiological perspectives. As a case study, we describe work on pair-bonding in prairie voles, a socially monogamous rodent. This specific topic takes advantage of many biological perspectives and techniques to explain social bonds. Lastly, we conclude with an overview of multi-dimensional conceptual frameworks that can be used to explain social phenomena, and we propose a new framework for research on individual variation in attachment behavior. These conceptual frameworks originate from philosophy, physics, ethology, cognitive science and neuroscience. The application and synthesis of such frameworks offers a rich opportunity to advance understanding of social behavior and its mechanisms.

Indexed as

ArvicolinaeIndividualityAnimalsSocial Behaviorindividual variationlevels of analysisprairie volesocial attachmentsocial behaviorsocial neuroscience

Identifiers

PMID35170839
PMCPMC8916993

What Socratic 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 Socratic graph.