Shinya Tasaki

Aug 23, 2023 | nature.com | Shinya Tasaki |Ada Zhang |Aron S. Buchman

AbstractHand drawing, which requires multiple neural systems for planning and controlling sequential movements, is a useful cognitive test for older adults. However, the conventional visual assessment of these drawings only captures limited attributes and overlooks subtle details that could help track cognitive states. Here, we utilized a deep-learning model, PentaMind, to examine cognition-related features from hand-drawn images of intersecting pentagons.