Parkinson's disease is a prevalent neurodegenerative disorder that is clinically identified by motor deficits. Its pathogenesis remains unclear and current treatments cannot reverse disease progression. Mounting evidence suggests that cellular senescence plays a crucial part in the development of Parkinson's disease. The analysis of genes related to aging in Parkinson's samples using bioinformatics has not been conducted so far. This study identified differentially expressed senescence genes using bioinformatics approaches and found genes RASL11B and PRRG1 to be highly correlated with Parkinson's, suggesting their potential as diagnostic and therapeutic targets. The miR-20 family of miRNAs may participate in Parkinson's pathogenesis by regulating these genes. Examining senescence genes within a senescence network framework, this study pioneers the investigation of their involvement in Parkinson's disease. It establishes the theoretical groundwork and identifies potential targets for the development of innovative diagnostic and therapeutic approaches focused on senescence. The present research reveals the important function of aging processes in the development of Parkinson's disease, enabling the advancement of novel diagnostic and therapeutic approaches for Parkinson's that focus on mechanisms related to aging.