Network science and topological data analysis for understanding brain disorders

The brain’s function and integrity emerge not only from properties of individual regions, but, more fundamentally, from the intricate web of connections linking them into complex networks. In recent years, network science and topological approaches have provided powerful new perspectives for understanding how these connections—and the patterns they form—relate to both healthy brain function and neurological disorders.Structural and functional network analysis, which includes methods such as graph theory, network mapping, and topological data analysis, is enabling researchers to identify how the organization and disruptions of connectivity relate to conditions including Alzheimer’s disease, epilepsy, and autism spectrum disorder. These approaches can help uncover subtle changes in the brain organization that might not be detectable using more traditional, localized techniques.Despite significant advances, important questions remain about how best to translate network and topological insights into clinical practice, and how these frameworks can provide reliable biomarkers or predictive models for disease progression. There is also a growing interest in integrating these approaches across disciplines—including mathematics, neuroscience, data science, and engineering—to further our understanding of the brain architecture and its alterations in diseases.This Research Topic aims to bring together contributions that advance our understanding of brain disorders by focusing on networks structure, organization, and topology.Central questions include:o How can mapping changes in structural and functional connectivity enhance our ability to diagnose or monitor neurological disorders?o What new insights do network and topological approaches provide, compared to standard analytic techniques?o How can network-based metrics and organizational patterns be translated into clinically meaningful biomarkers?o What are the current challenges and future directions in the application of network science to neuroscience and neurology?We welcome original research, reviews, methodological articles, case studies, and theoretical contributions addressing (but not limited to):o Identification and interpretation of network and topological biomarkers for brain disorderso Comparative studies of network-based approaches versus conventional neuroscience methodso Case studies demonstrating the impact of network perspectives in clinical and research settingso Cross-disciplinary or integrative work linking mathematics, neuroscience, engineering, and computer science in the study of brain connectivityo Advances in visualization, quantification, and mapping of brain networks in health and diseaseo Perspectives on future methodological innovations in network neuroscience Topic editors: Christophe Lenglet, Tharun Kumar Reddy Source: https://www.frontiersin.org/research-topics/74115/network-science-and-topological-data-analysis-for-understanding-brain-disorders