A minimal dynamical model linking early embryonic asymmetry to hemispheric lateralization

Hemispheric asymmetry is a defining feature of the human brain, yet how weak early left-right biases develop into stable hemispheric specialization remains unclear. Although molecular mechanisms establish initial embryonic asymmetries, a mechanistic explanation linking these early biases to persistent hemispheric differences has been lacking. Here we introduce a minimal dynamical model that isolates the developmental conditions under which small left-right asymmetries can be amplified and stabilized. Each hemisphere is represented by a continuous maturation variable, with reciprocal interhemispheric interactions modelled as nonlinear inhibitory coupling. Analytical stability analysis shows that hemispheric differentiation emerges when the symmetric equilibrium becomes unstable, allowing asymmetry to arise as a dynamical outcome of coupled development rather than explicit hemisphere-specific programming. Numerical simulations demonstrate that stable hemispheric asymmetry robustly emerges once interhemispheric coupling exceeds a critical threshold. Without intrinsic bias (ϵ = 0), symmetry breaking occurs through stochastic amplification, producing left- and right-dominant outcomes with approximately equal probability. Introducing a weak intrinsic bias does not create asymmetry but biases the selection among available asymmetric states. These results provide a minimal dynamical bridge linking early embryonic asymmetry to later hemispheric specialization.

Authors

Institutions

Publication Details

Journal
Laterality Asymmetries of Body Brain and Cognition
Published
2026-03-20
DOI
https://doi.org/10.1080/1357650x.2026.2646484
Primary Topic
Hemispheric Asymmetry in Neuroscience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A minimal dynamical model linking early embryonic asymmetry to hemispheric lateralization

Tenna Churiki, Nobuchika Yamaki
Laterality Asymmetries of Body Brain and Cognition
Hemispheric Asymmetry in Neuroscience
article

A minimal dynamical model linking early embryonic asymmetry to hemispheric lateralization

Tenna Churiki, Nobuchika Yamaki
article en

Abstract

Hemispheric asymmetry is a defining feature of the human brain, yet how weak early left-right biases develop into stable hemispheric specialization remains unclear. Although molecular mechanisms establish initial embryonic asymmetries, a mechanistic explanation linking these early biases to persistent hemispheric differences has been lacking. Here we introduce a minimal dynamical model that isolates the developmental conditions under which small left-right asymmetries can be amplified and stabilized. Each hemisphere is represented by a continuous maturation variable, with reciprocal interhemispheric interactions modelled as nonlinear inhibitory coupling. Analytical stability analysis shows that hemispheric differentiation emerges when the symmetric equilibrium becomes unstable, allowing asymmetry to arise as a dynamical outcome of coupled development rather than explicit hemisphere-specific programming. Numerical simulations demonstrate that stable hemispheric asymmetry robustly emerges once interhemispheric coupling exceeds a critical threshold. Without intrinsic bias (ϵ = 0), symmetry breaking occurs through stochastic amplification, producing left- and right-dominant outcomes with approximately equal probability. Introducing a weak intrinsic bias does not create asymmetry but biases the selection among available asymmetric states. These results provide a minimal dynamical bridge linking early embryonic asymmetry to later hemispheric specialization.

Laterality Asymmetries of Body Brain and Cognition
King's College London (GB), III-N Technology (United States) (US)
Openalex Percentile: Top 18%
Hemispheric Asymmetry in Neuroscience
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.