A novel deep learning approach to quantify the YOGA-induced cognitive changes
摘要
The prevalence of anxiety disorders, impacting about 301 million people (approximately 4% of the global population), underscores significant mental health challenges. Younger individuals are notably more prone to anxiety symptoms compared to older adults, emphasizing the need to explore holistic methods like yoga and meditation, which have shown promise in alleviating such symptoms. This study, employing Electroencephalogram cap technology, delves into how yoga and meditation affect brain activity and cognition. Participants will undergo a structured yoga program, with pre-and post-intervention Electroencephalogram recordings capturing changes in brain activity. We will utilise the Electroencephalogram cap to record brain electrical activity non-invasively during cognitive tasks and yoga practices. We will analyse Electroencephalogram signals for variations in brainwave patterns (alpha, beta, theta, delta) linked to cognitive functions like attention, memory, and emotion regulation. The aim is to uncover changes in brain connectivity and activity, potentially shedding light on yoga’s cognitive benefits for mental health conditions.