The evolving landscape of neuroscience

Neuroscience is rapidly growing, rendering it hard to keep track of the field’s structural organization, research trends, and open questions. This study tackles this issue by analyzing a vast corpus of articles published between 1999 and 2023. Findings reveal a field with a strong experimental focus, encompassing both hypothesis-driven and data-driven methodologies and an increasing use of advanced data analytics and artificial intelligence. A growing emphasis on applied research is evident, particularly in areas like neurodegeneration, neuromodulation, and technological advancements, while fundamental research is at risk of decline. The field demonstrates high levels of interdisciplinarity and surprisingly robust cross-fertilization across research domains, with key intellectual hubs shaping the broader landscape. Nevertheless, neuroscience widely relies on specific mechanistic explanations rather than unifying theoretical frameworks, and the integration of findings across different spatial and temporal scales remains limited. This study provides a framework for understanding neuroscience’s trajectory and identifies potential avenues for strengthening the field.