biostudies-literatureBouzigues AWellcome TrustEC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)2436-2447https://www.ebi.ac.uk/biostudies/studies/S-EPMC12092252biostudies-literatureUnknown30(6)Neurodegenerative dementias have a profound impact on higher-order cognitive and behavioural functions. Investigating macroscale functional networks through cortical gradients provides valuable insights into the neurodegenerative dementia process and overall brain function. This approach allows for the exploration of unimodal-multimodal differentiation and the intricate interplay between functional brain networks. We applied cortical gradients mapping to resting-state functional MRI data of patients with frontotemporal dementia (FTD) (behavioural-bvFTD, non-fluent and semantic) and healthy controls. In healthy controls, the principal gradient maximally distinguished sensorimotor from default-mode network (DMN) and the secondary gradient visual from salience network (SN). In all FTD variantMolecular psychiatryDisruption of macroscale functional network organisation in patients with frontotemporal dementia.PMC12092252866533-CORTIGRADBouzigues AMigliaccio RRussell LLWarren JDRohrer JDBatrancourt BMargulies DSLe Du VLevy RLe Ber IGodefroy VHouot MfalseDisruption of macroscale functional network organisation in patients with frontotemporal dementia.Neurodegenerative dementias have a profound impact on higher-order cognitive and behavioural functions. Investigating macroscale functional networks through cortical gradients provides valuable insights into the neurodegenerative dementia process and overall brain function. This approach allows for the exploration of unimodal-multimodal differentiation and the intricate interplay between functional brain networks. We applied cortical gradients mapping to resting-state functional MRI data of patients with frontotemporal dementia (FTD) (behavioural-bvFTD, non-fluent and semantic) and healthy controls. In healthy controls, the principal gradient maximally distinguished sensorimotor from default-mode network (DMN) and the secondary gradient visual from salience network (SN). In all FTD variant2025-01-01T00:00:00Z2025 Jun2026-06-01T10:24:02.989Z2026-04-08T11:26:46.474ZS-EPMC120922523958060710.1038/s41380-024-02847-4