Evidence map›Paper›PMID 41733181›Full record

ReviewBiological reviews of the Cambridge Philosophical Society2026

A neuro-behavioural model of neophobia.

Arik Dorfman, Aziz Subach, Inon Scharf

Abstract readReview
In one paragraph

Review in Biological reviews of the Cambridge Philosophical Society, 2026. 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

3 authors.

Arik DorfmanSchool of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
Aziz SubachSchool of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
Inon ScharfSchool of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.

Funding

Israel Science Foundation 699/24
6 · The paper itself

Abstract

Fear can be defined as the internal neurological state that releases a repertoire of behaviours an animal performs to reduce the effect of an aversive factor. Neophobia, the fear of novelty, is a fundamental behavioural trait observed across a wide range of species from arthropods to humans. It has been extensively studied by ecologists and psychologists for decades. However, despite its roots in fear, there is a surprising lack of connection between the literature on neophobia and the rich body of research on the neurology of fear. Fear has been studied at the hormonal, network, and cellular levels in the context of fear learning, extinction, and innate responses. Herein, we aim to link the phenotypic expression of the fear of novelty with its underlying neurological mechanisms. Using the mammalian brain as a model system, we construct a neurobiologically based conceptual model to explain the factors influencing neophobic behaviour. We then review existing studies through the lens of our model and demonstrate its utility in exploring natural selection and phenotypic plasticity by integrating behavioural experiments and neurological insights. While behavioural ecology has traditionally focused on observable behaviour without considering the neural mechanisms behind it, we argue that incorporating neurological knowledge can greatly enhance ecological understanding. In the case of neophobia, such integration is not only possible but necessary, and thus the connection between behaviour and brain is both timely and essential.

Indexed as

Behavior, AnimalFearPhobic DisordersAnimalsBrainbehavioural ecologyfear‐generalizationfear‐learningmodelneurologypredationPTSD

Identifiers

PMID41733181
PMCPMC13326776

What OpenQuestion holds

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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.