Evidence map›Paper›PMID 41463944›Full record

ReviewBehavioral sciences (Basel, Switzerland)2025

Sex and Gender Identities Are Emergent Properties of Neural Complexity.

Simone Di Plinio, Olatz Etxebarria-Perez-De-Nanclares

Abstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Simone Di PlinioDepartment of Neuroscience, Imaging, and Clinical Science, University of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-2551-0985
Olatz Etxebarria-Perez-De-NanclaresFaculty of Education and Sport, University of the Basque Country, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0002-2998-4395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate why the remarkable diversity of human identity, including gender fluidity, non-binary roles, and varied sexual orientations, is fundamentally rooted in the evolutionary and neurocognitive complexity of the human brain. Drawing upon interdisciplinary evidence from comparative biology, neuroimaging, anthropology, and social neuroscience, this paper explores how increased neural complexity across evolutionary trajectories supports behavioral plasticity and identity diversification. The concept of neural degeneracy, wherein different neural structures produce functionally similar outcomes, is central to understanding how individual and cultural diversity naturally emerges from the brain's highly adaptable networks. By reviewing historical, prehistoric, and cross-species data, the paper demonstrates that identity diversity is neither recent nor culturally limited but has longstanding evolutionary and social foundations. Despite substantial scientific consensus on this inherent complexity, societal resistance persists, often driven by oversimplified and biologically reductionist interpretations of neuroscience. To counter these misunderstandings, the article introduces Complexity Neuroethics, a framework advocating the acknowledgment of diversity of identity expressions as an evolutionarily expected outcome of neurocognitive evolution. Ultimately, the review calls for a transformative dialogue between neuroscience and society, promoting policies, healthcare practices, and educational initiatives aligned with neuroscientific realities to foster more inclusive societies that embrace self-identity as an evolutionary and cognitive achievement.

Indexed as

behavioral plasticityevolutionary psychologygender fluidityidentity diversityneural degeneracyneurodiversity

Identifiers

PMID41463944
PMCPMC12730070

What OpenQuestion holds

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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 OpenQuestion graph.