L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
Researchers have introduced the L-FAME dataset, which includes EEG recordings and psychological assessments from 74 college students undergoing a six-week meditation program. The dataset is designed to study the neural effects of different meditation techniques, specifically two mantra-based practices and a breath-focus method. A benchmark suite is also proposed, featuring tasks for decoding cognitive states, classifying meditation techniques, and evaluating model generalization across the longitudinal data. AI
IMPACT Provides a new dataset and benchmark for developing and comparing analytical methods in computational meditation research and EEG-based machine learning.