Machine Learning based Classification of Meditators using Functional Connectivity over Resting State Networks

Meditation has several health benefits and is also used as a complementary treatment for various ailments. Neuroimaging studies have shed light on the effects of meditation, especially brain. Functional Magnetic Resonance Imaging, powerful non-invasive imaging technique in this study to determine functional connectivity meditator’s In study, long-term Rajayoga practice were considered where difference between two groups subjects one with long duration other short Rajayogameditation was found. Two short-term meditation recruited. Task-based fMRI acquired subject performed Neurocognitive task. among regions Resting-State Networks four metrics derived. Machine learning algorithms classify these based features. It found that the…… classifier could differentiate …. Accuracy.