Early-life adversity in rodents: Experimental design is of the essence

Early-life adversity (ELA) is a well-documented risk factor for the development of psychiatric illnesses. Prospective investigations in humans are complex and limited in their ability to study the underlying neurobiological mechanisms, which is why many have reverted to animal models to examine the lasting consequences of ELA. In this contribution, we focus primarily on exposure to ELA during the postnatal period and highlight crucial elements of the experimental design that decisively contribute to the observed outcome. These elements include i) aspects of timing, encompassing the developmental stage during which ELA is experienced, the duration and repetitiveness of early-life stressors, and the time point at which the outcomes are investigated; ii) the early-life environment, e.g., the quality and quantity of parental care, the breeding specifics, housing conditions and nutrition, or mitigating interventions; iii) characteristics of later-life readouts, i.e., specific behavioral domains examined, the tasks selected to probe these domains, and the state of the animal at the time of testing; and iv) sex differences. We conclude by discussing how to maximize the advantages of ELA animal models to gain a comprehensive insight into the (neuro)biological mechanisms underlying the lasting consequences of ELA.

Authors

Institutions

Publication Details

Journal
Neurobiology of Stress
Published
2026-04-16
DOI
https://doi.org/10.1016/j.ynstr.2026.100813
Primary Topic
Evolutionary Psychology and Human Behavior
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Early-life adversity in rodents: Experimental design is of the essence

Rixt van der Veen, Marian Joëls, Anikó Kőrösi
Neurobiology of Stress
Evolutionary Psychology and Human Behavior
article

Early-life adversity in rodents: Experimental design is of the essence

Rixt van der Veen, Marian Joëls, Anikó Kőrösi
article en

Abstract

Early-life adversity (ELA) is a well-documented risk factor for the development of psychiatric illnesses. Prospective investigations in humans are complex and limited in their ability to study the underlying neurobiological mechanisms, which is why many have reverted to animal models to examine the lasting consequences of ELA. In this contribution, we focus primarily on exposure to ELA during the postnatal period and highlight crucial elements of the experimental design that decisively contribute to the observed outcome. These elements include i) aspects of timing, encompassing the developmental stage during which ELA is experienced, the duration and repetitiveness of early-life stressors, and the time point at which the outcomes are investigated; ii) the early-life environment, e.g., the quality and quantity of parental care, the breeding specifics, housing conditions and nutrition, or mitigating interventions; iii) characteristics of later-life readouts, i.e., specific behavioral domains examined, the tasks selected to probe these domains, and the state of the animal at the time of testing; and iv) sex differences. We conclude by discussing how to maximize the advantages of ELA animal models to gain a comprehensive insight into the (neuro)biological mechanisms underlying the lasting consequences of ELA.

Neurobiology of StressVol. 42
Netherlands Institute for Neuroscience (NL), University Medical Center Groningen (NL), University of Groningen (NL), University of Amsterdam (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 25%
Evolutionary Psychology and Human Behavior
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.