Brain–Behavior–Environment Coupling in Neurodevelopment: From Multimodal Mechanisms to Precision Intervention

Neurodevelopment is shaped by dynamic interactions among neural systems, behavioral functions, and environmental contexts. Recent advances in multimodal neuroimaging, computational modeling, and developmental science have highlighted that atypical development—particularly in conditions such as autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and language impairments—cannot be fully explained by isolated neural deficits. Instead, emerging evidence supports a coupling framework in which brain activity, behavioral adaptation, and environmental input form an integrated system. However, current research remains fragmented across modalities (e.g., EEG, fMRI, eye-tracking) and levels of analysis, limiting our understanding of how these components interact over developmental time and how such interactions can inform targeted interventions.This Research Topic aims to establish a unified framework for understanding neurodevelopment through brain–behavior–environment coupling. Specifically, it seeks to address three critical gaps: (1) the lack of integrative models that link neural dynamics with real-time behavioral and environmental variability; (2) insufficient identification of mechanistic pathways underlying individual differences and developmental heterogeneity; and (3) limited translation of neurocognitive findings into precision intervention strategies.To achieve these goals, we encourage contributions that combine multimodal methodologies (e.g., EEG, fNIRS, fMRI, eye-tracking, behavioral paradigms) with advanced analytical approaches such as computational modeling, network analysis, and machine learning. Particular emphasis will be placed on studies that move beyond group-level comparisons to characterize individual trajectories and develop predictive models of developmental outcomes. Ultimately, this Research Topic aims to bridge basic neuroscience and applied intervention research, promoting the development of personalized, data-driven intervention frameworks grounded in neurobiological mechanisms.We welcome original research articles, systematic reviews, meta-analyses, and theoretical perspectives that address, but are not limited to, the following themes:• Multimodal investigations of brain-behavior coupling in neurodevelopment• Neural mechanisms of language, social communication, and cognitive development• Brain-environment interactions, including family, educational, and socio-cultural contexts• Developmental trajectories and heterogeneity in neurodevelopmental disorders (e.g., ASD, ADHD)• Predictive modeling and computational approaches to developmental outcomes• Neurobiologically informed intervention strategies, including digital, AI-driven, or neuromodulation-based approaches• Closed-loop systems integrating neural monitoring and adaptive interventionWe particularly encourage interdisciplinary studies that integrate neuroscience, linguistics, psychology, education, and data science. Both cross-sectional and longitudinal designs are welcome, with a preference for studies that demonstrate translational relevance. Topic editors: Lulu Cheng, Xize Jia, GÜLAY TASCI Source: https://www.frontiersin.org/research-topics/81305/brain-behavior-environment-coupling-in-neurodevelopment-from-multimodal-mechanisms-to-precision-intervention