INTRODUCTION:
Neurotoxic exposure from environmental, industrial, and occupational sources represents a largely invisible global health challenge, contributing to subclinical brain injury and cognitive decline. Traditional epidemiological surveillance often fails to capture structural and functional brain damage before clinical disease manifests. Digital Neurotoxicology which integrates anatomical neuroscience, neuroinformatics, and computational cognitive modeling offers a novel approach to map neurotoxic risks, predict functional impairment, and inform preventive public health strategies worldwide.

METHODS:
A hybrid systematic and conceptual synthesis was conducted. Peer-reviewed literature on neurotoxic exposures, structural brain alterations, and computational models of cognitive impairment was systematically collected from PubMed, Scopus, Web of Science, and open-access neuroinformatics repositories. Data were extracted and analyzed thematically to identify patterns of exposure, affected brain regions, and modeling approaches. Open-access neuroimaging and connectome datasets, including the Human Connectome Project and NeuroMorpho.org, were integrated to illustrate digital neurotoxic risk mapping. Computational cognitive neuroscience models were applied to simulate potential cognitive deficits arising from structural damage.

RESULTS:
The synthesis identified consistent structural vulnerabilities in prefrontal cortex, hippocampus, basal ganglia, and cerebellum across multiple neurotoxic exposures. Digital integration of imaging, morphological, and modeling data enabled the creation of predictive neurotoxic risk maps, highlighting high-risk populations and critical exposure thresholds. Computational models demonstrated potential functional consequences of structural brain injury, providing a scalable framework for population-level cognitive risk assessment.

CONCLUSIONS:
Digital neurotoxic risk mapping offers a transformative approach for global brain health surveillance by translating anatomical and exposure data into predictive, actionable insights. This framework enhances early detection, informs public health interventions, and supports policy development to prevent cognitive injury from neurotoxic exposures, addressing a critical and under-measured global public health need.