The Significance of Prolonged Physical Activity in Neurogenesis and Neural Regeneration: Comparing Clinical Studies With Proposed AI-Based Framework.

Abstract

Background: Adult neurogenesis is the biological process whereby neural stem cells (NSCs) differentiate into neurons and glial cells in specific areas of the adult brain. Impairments in neurogenesis may lead to many complications, including neurodegenerative illnesses and psychiatric problems. In the adult brain, new neurons are generated from neural stem or progenitor cells (NPCs) through a meticulously controlled process that governs both cell proliferation and the specification of neuronal identity.

Methods: This review discusses how artificial intelligence (AI) can be applied to analyze the effects of exercise on neural stem cell proliferation, focusing on data collection, AI model training, and the prediction of outcomes such as neural regeneration and recovery. AI-based models, including machine learning algorithms and deep learning techniques, offer promising tools for understanding and predicting the mechanisms underlying neurogenesis, potentially guiding personalized interventions for individuals with neurological conditions.

Results: Adult neurogenesis is fundamentally impacted by several physiological, pathological, and pharmacological variables. These factors encompass exercise, age, severe brain injury, epilepsy, and antidepressant therapies.

Conclusion: Recent studies indicate that physical exercise is a vital external element that significantly promotes adult neurogenesis in the hippocampus.