Evidence map›Paper›PMID 41242130›Full record

ReviewCurrent opinion in neurobiology2025

From neurons to novelty: Circuit mechanisms shaping courtship evolution.

Philipp Brand, Rory T Coleman

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2025. 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

2 authors.

Philipp BrandEvolutionary Neuroscience and Behavior Group, Max Planck Institute for Brain Research, Frankfurt am Main, Germany. Electronic address: philipp.brand@brain.mpg.de.
Rory T ColemanDepartment of Biology, Center for Neural Science, New York University, New York, NY, USA. Electronic address: r.coleman@nyu.edu.

Funding

Molecular and cellular mechanisms of circuit evolutionR00GM141319 · NIGMS · NEW YORK UNIVERSITY · PI Rory Tristan Coleman · 2025 to 2026
$498k
Functional mechanisms of environmental control over social behaviorK99GM151471 · NIGMS · ROCKEFELLER UNIVERSITY · PI BRAND, PHILIPP · 2023 to 2024
$250k
NIGMS NIH HHS K99 GM151471NIGMS NIH HHS R00 GM141319
6 · The paper itself

Abstract

The vast diversity of animal behaviors has long inspired ethologists and neuroscientists, but circuit mechanisms driving this variation remain elusive. Recent advances in genetic tools and comparative approaches have enabled unprecedented insights into how neural circuits evolve to produce behavioral novelty. Here we focus on the discoveries emerging from the study of courtship behaviors, which are particularly well poised to capitalize on these advances. Comparative studies of sensory and motor circuits have begun to demonstrate that evolution can act through diverse mechanisms. The modular organization of courtship-controlling circuits emerges as a key feature facilitating rapid evolutionary innovation while maintaining essential functions. Changes in the neuronal composition of circuits, by both cellular and subcellular mechanisms, represent common mechanisms. Organisms may even carry vestigial circuits with the latent potential to be repurposed for new behavioral paradigms. We highlight how understanding the 'extended nervous system' of a species has begun to provide these critical insights into courtship evolution and offers fertile ground for future discoveries. As comparative approaches expand beyond model organisms, evolutionary neuroscience is on the cusp of revealing the principles governing behavioral diversity in nature.

Indexed as

Biological EvolutionCourtshipNerve NetNeuronsSexual Behavior, AnimalAnimals

Identifiers

PMID41242130
PMCPMC13294300

What Socratic holds

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LicenceCC BY
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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.