Editorial: Protecting privacy in neuroimaging analysis: balancing data sharing and privacy preservation.

The editorial in Frontiers in Neuroinformatics discusses the importance of protecting privacy in neuroimaging analysis while balancing data sharing and privacy preservation. It highlights the challenges of handling sensitive data generated by techniques like MRI and the need for innovative methodologies to safeguard individual privacy. The research topic explores interdisciplinary solutions, such as federated learning and differential privacy, to advance the field ethically and legally. The contributions in the editorial showcase how AI-driven methodologies can enhance efficiency, maintain privacy, and promote transparency in neuroimaging research, emphasizing the importance of aligning technical advancements with ethical principles. [Extracted from the article]