This chapter examines the profound transformation of neuroscience research from a primarily academic pursuit to a complex commercial ecosystem. This transformation was driven by $2.3 billion in venture capital investment in neurotechnology during 2024 alone. This chapter analyzes five critical dimensions of how market forces interact with scientific integrity. These include commercial pressures on research conduct and publication practices, tensions between intellectual property protection and open science principles, the influence of funding models on research priorities, commercialization’s impact on education and training programs, and strategies for balancing innovation with scientific rigor. The analysis reveals systematic pressures that can compromise scientific integrity, including publication bias favoring commercially favorable results, “acceleration imperatives” that prioritize speed over methodological rigor, and the emergence of proprietary “black box” AI systems that challenge traditional scientific verification principles. This chapter documents how patent landscapes increasingly restrict research access, venture funding concentrates on commercially viable applications at the expense of fundamental research questions, and graduate training programs have evolved to incorporate entrepreneurial skills alongside traditional scientific methods. Despite these challenges, the evidence shows that market forces also provide valuable resources, expertise, and translational pathways that can enhance scientific impact and expand career opportunities for researchers. This chapter concludes that the future of neuroscience depends not on eliminating commercial influences but on developing sophisticated frameworks that harness market-driven innovation while preserving core scientific values of transparency, reproducibility, and commitment to truth. Success requires coordinated action across multiple levels—from individual researcher practices to institutional policies to broader regulatory frameworks. The goal is to create sustainable models for science-commerce integration that can serve as models for other fields facing similar challenges in an increasingly commercial research environment.