DBM/VBM-derived Atrophy Pattern Maps of Frontotemporal Dementia variants (bvFTD, svPPA, nfvPPA)

The files contain voxel-wise beta estimate and t-statistics maps contrasting deformation based morphometry (DBM) and voxel-based morphometry (VBM), and vertex-wise Cortical Thickness measurements of frontotemporal dementia (FTD) patients, separated by subtype diagnosis, against healthy controls. Age, Sex and Total Intracranial Volume were added as covariates in the model. regional_results_all.csv contains regional results for the same model, based on regions of the CerebrA atlas. Methods included are DBM = indirect DBM, dirDBM = direct DBM, VBMindir = indirect VBM, VBMdir = direct VBM, CT = Cortical Thickness, Vol = FreeSurfer volumes. BV = behavioral-variant Frontotemporal Dementia SV = semantic-variant Primary Progressive Aphasia PNFA = non-fluent-variant Primary Progressive Aphasia FTD map is based on NIFD data, available at: https://ida.loni.usc.edu/login.jsp DBM and VBM measures were derived using the PELICAN pipeline, Cortical Thickness and Volumes were derived using FreeSurfer version 7.4.1. Maps have been linearly and nonlinearly registered to MNI-ICBM152 space. Nonlinear registration was performed either directly (individual -> ICBM, dirVBM/dirDBM files) or indirectly through a disease-specific template (individual -> FTD template -> ICBM, indirVBM/indirDBM files). For more information regarding the participants and method details, see: Quantifying brain atrophy in Frontotemporal Dementia: a head-to-head comparison of neuroimaging techniques Amelie Metz, Roqaie Moqadam, Yashar Zeighami, Louis Collins, Sylvia Villeneuve, Mahsa Dadar medRxiv 2025.10.28.25339007; doi: https://doi.org/10.1101/2025.10.28.25339007 (see group differences model 2.4.3) PELICAN: a Longitudinal Image Processing Pipeline for Analyzing Structural Magnetic Resonance Images in Aging and Neurodegenerative Disease Populations Mahsa Dadar, Roqaie Moqadam, Amelie Metz, Katherine Chadwick, Aliza Brzezinski-Rittner, Yashar Zeighami bioRxiv 2025.09.20.677546; doi: https://doi.org/10.1101/2025.09.20.677546 FreeSurfer. Fischl B. Neuroimage. 2012 Aug 15;62(2):774-81. doi: 10.1016/j.neuroimage.2012.01.021 CerebrA, registration and manual label correction of Mindboggle-101 atlas for MNI-ICBM152 template. Manera, A.L., Dadar, M., Fonov, V. et al. Sci Data 7, 237 (2020). https://doi.org/10.1038/s41597-020-0557-9 NIFD/FTLDNI dataset: https://memory.ucsf.edu/research/studies/nifd