In a research symposium held virtually in late 2024, neuroscientists from six continents gathered to discuss a peculiar paradox. Despite unprecedented computational power to analyze brain function, machine learning algorithms that can decode neural signals with remarkable precision, and growing investment in neurotechnology development, public trust in neuroscience research appeared to be declining in many regions. This paradox mirrors what Peter Hotez and Michael Mann documented in Science Under Siege and what Hotez further explored in The Deadly Rise of Anti-Science, showing how extraordinary technical capabilities can coincide with growing skepticism of scientific expertise. The disconnect between technical capability and social acceptance had become a defining challenge for the field.