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Phenotype‐dependent relationships between cortical macro‐ and micro‐structural neurodegeneration in frontotemporal lobar degeneration
Author(s) -
Placek Katerina,
Anania Vincenzo,
Van Phan Thanh,
de Barros Nuno Pedrosa,
Billiet Thibo,
Ribbens Annemie,
Simen Arthur,
Schwarz Adam J.
Publication year - 2021
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.051717
Subject(s) - frontotemporal lobar degeneration , primary progressive aphasia , frontotemporal dementia , semantic dementia , magnetic resonance imaging , temporal lobe , fluid attenuated inversion recovery , diffusion mri , medicine , white matter , aphasia , psychology , neuroimaging , pathology , neuroscience , dementia , radiology , epilepsy , disease
Background Macro‐ and micro‐structural degeneration in cortical grey matter (CGM) accompany the progression of frontotemporal lobar degeneration (FTLD). The former can be measured by brain volumetry from magnetic resonance imaging (MRI) and the latter by mean diffusivity (MD) from diffusion tensor imaging (DTI). While disease‐modifying treatment is expected to slow the progression of both metrics, unexpected treatment effects such as inflammation may alter the relationship between them. Here, we evaluate the cross‐sectional and longitudinal relationships between lobar volume and average MD of CGM in untreated FTLD. Method 24 patients with behavioral variant frontotemporal dementia (BV), 21 with semantic variant primary progressive aphasia (SV), 20 with nonfluent agrammatic variant primary progressive aphasia (PNFA), and 75 cognitively‐normal controls (CON) from the FTLD Neuroimaging Initiative (FTLDNI) were assessed longitudinally with MRI and DTI. CGM volumes were measured with icobrain dm using T1‐weighted and FLAIR images. CGM MD maps were extracted from DTI and partial‐volume corrected. Volume and average MD were calculated for each lobe using two timepoints approximately 1 year apart, adjusted for age and sex, and z‐scored relative to CON. For each lobe, multiple linear regression models with Bonferroni correction assessed the effect of FTLD phenotype on the relationship between 1) baseline MD and volume, and 2) percent change from baseline in MD and volume. Result At baseline, BV, SV, and PNFA demonstrated significantly more negative associations between MD and volume in the frontal lobes relative to CON (all p values <.05), such that greater MD related to lesser volume in each phenotype. Significantly more negative associations between MD and volume relative to CON were observed for BV and SV in the temporal lobe, and for PNFA in the parietal lobe ( p <.05). For percent change from baseline, BV demonstrated a significantly more negative association between MD and volume in the frontal and parietal lobes relative to CON ( p <.05), such that percent increase in MD related to percent decrease in volume. Conclusion Our results elucidate phenotypic differences in cortical macro‐ and micro‐structural degeneration in FTLD and provide a novel frame of reference for MRI and DTI for interventional clinical trials.