The modified elevated gap interaction test: a novel paradigm to assess social preference

Social deficits play a role in numerous psychiatric, neurological and neurodevelopmental disorders. Relating complex behaviour, such as social interaction, to brain activity remains one of the biggest goals and challenges in neuroscience. Availability of standardized tests that assess social preference is however, limited. Here, we present a novel behavioural paradigm that we developed to measure social behaviour, the modified elevated gap interaction test (MEGIT). In this test, animals are placed on one of two elevated platforms separated by a gap, in which they can engage in whisker interaction with either a conspecific or an object. This allows quantification of social preference in real interaction rather than just proximity and forms an ideal setup for social behaviour-related neuronal recordings. We provide a detailed description of the paradigm and its highly reliable, deep-learning based analysis, and show results obtained from wild-type animals as well as mouse models for disorders characterized by either hyposocial (autism spectrum disorder; ASD) or hypersocial (Williams Beuren syndrome; WBS) behaviour. Wild-type animals show a clear social preference. This preference is significantly smaller in an ASD mouse model, whereas it is larger in WBS mice. The results indicate that MEGIT is a sensitive and reliable test for detecting social phenotypes.

Authors

Institutions

Publication Details

Journal
Open Biology
Published
2024-12-01
DOI
https://doi.org/10.1098/rsob.240250
Citations
2
Primary Topic
Williams Syndrome Research
Type
article
Field-Weighted Citation Impact
0.41

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The modified elevated gap interaction test: a novel paradigm to assess social preference

Arn M. J. M. van den Maagdenberg, Willem S van Hoogstraten, Chris I. De Zeeuw, Laurens W. J. Bosman et al.
2 citations
Open Biology
Williams Syndrome Research
0.41
article

The modified elevated gap interaction test: a novel paradigm to assess social preference

Arn M. J. M. van den Maagdenberg, Willem S van Hoogstraten, Chris I. De Zeeuw, Laurens W. J. Bosman, Jiawei Chen, Lieke Kros, Siyang Yu
article en
2 citations

Abstract

Social deficits play a role in numerous psychiatric, neurological and neurodevelopmental disorders. Relating complex behaviour, such as social interaction, to brain activity remains one of the biggest goals and challenges in neuroscience. Availability of standardized tests that assess social preference is however, limited. Here, we present a novel behavioural paradigm that we developed to measure social behaviour, the modified elevated gap interaction test (MEGIT). In this test, animals are placed on one of two elevated platforms separated by a gap, in which they can engage in whisker interaction with either a conspecific or an object. This allows quantification of social preference in real interaction rather than just proximity and forms an ideal setup for social behaviour-related neuronal recordings. We provide a detailed description of the paradigm and its highly reliable, deep-learning based analysis, and show results obtained from wild-type animals as well as mouse models for disorders characterized by either hyposocial (autism spectrum disorder; ASD) or hypersocial (Williams Beuren syndrome; WBS) behaviour. Wild-type animals show a clear social preference. This preference is significantly smaller in an ASD mouse model, whereas it is larger in WBS mice. The results indicate that MEGIT is a sensitive and reliable test for detecting social phenotypes.

Open BiologyVol. 14(12)
Netherlands Institute for Neuroscience (NL), Royal Netherlands Academy of Arts and Sciences (NL), Leiden University Medical Center (NL), Erasmus MC (NL), Erasmus University Rotterdam (NL)
ZonMw, Erasmus Medisch Centrum, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Aard- en Levenswetenschappen, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Medical Delta
Reduced inequalities
Openalex Percentile: Top 31%
Williams Syndrome Research
0.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.