Neuroscience in Conversation: Tracking Scientific Change Through an Open Seminar Archive

Network-related terminology became more prominent than localisation-related terminology in 470 English-language Clinical Neuroanatomy Seminars YouTube transcripts (2010–2026), alongside rising references to variability and computational approaches.

• Why it matters: Published papers miss how scientific communities frame questions and debate methods over time, so the study tests whether an open seminar archive can track shifting attention and predict later discourse.
• What they did: The authors analyzed 470 transcripts (~2.6 million words) using longitudinal vocabulary analysis, unsupervised topic clustering, conceptual comparisons, and rolling temporal forecasting.
• The result: A regression model predicted keyword frequencies one and two years ahead with ~12% and 17% lower mean absolute error than a persistence baseline, but gains reflect smoothing rather than sustained growth.