Mapping Network Disruption in FTD: From Advanced Connectomics to Translational Biomarkers

This Research Topic seeks to explore novel methodologies for assessing functional and structural connectivity changes in frontotemporal dementia (FTD) patients. Emphasizing the use of cutting-edge techniques and advanced connectomics methodologies—including graph theoretical analysis, dynamic functional connectivity, network control theory, and connectome gradient mapping—to investigate the relationship between disruptions in large-scale brain network organization and the resulting cognitive and behavioral manifestations in FTD.

The Research Topic focuses on two key translational themes:

1. Translational Biomarker Discovery and Validation
Research in this area should focus on analyzing innovative biomarkers that reflect network organization (e.g., measures of integration, segregation, and global efficiency). The goal is to develop and validate predictive models for early detection, differential diagnosis, and progression monitoring of FTD.

2. Network-Based Therapeutic Targeting
This theme explores the translational potential of connectomics findings, specifically focusing on the identification of potential network-based therapeutic targets. Submissions should include research on the development of interventions aimed at modulating functional or structural network disruptions in FTD.

This Research Topic aims to provide a comprehensive overview of new horizons in the diagnosis, treatment, and management of FTD and related neurodegenerative diseases.