The amount of protein that is made in a cell is regulated by the amount of its gene that is expressed (the messenger RNA-mRNA). There are many ways that cells regulate mRNA expression, and a growing area of interest is in circular RNAs (circRNAs), which are circular RNA structures that are complimentary to the mRNA and can affect its translation into a protein. Circular RNAs (circRNAs) are stable, covalently closed RNA molecules crucial for gene regulation, notably by acting as microRNA sponges. Emerging evidence suggests that their dysregulation contributes to Alzheimer's disease (AD) pathogenesis by influencing amyloid-beta production, neuronal function, neuroinflammation, and oxidative stress. However, quantifying circRNAs is challenging due to sequence homology with their linear mRNA cognates. Long-read sequencing platforms, like Oxford Nanopore Technologies (ONT), offer an accurate solution for their full-length characterization. This study aims to use these advanced techniques to identify and quantify full-length circRNAs that are dysregulated in the prefrontal cortex of AD patients. Using long-read sequencing will generate a high-resolution dataset of full-length circRNA sequences, improving our understanding of their structure and function in AD. The research will also explore interactions between circRNAs, microRNAs and mRNAs, potentially revealing new disease mechanisms.