Classification of Human Chronotype Based on fMRINetwork-Based Statistics
Sophie Lauren Mason, Leandro Junges, Wessel Woldman…·John R. Terry
The paper classifies human chronotypes using fMRI network-based statistics, achieving 97.3% accuracy in distinguishing early from late chronotypes.