PT  - JOURNAL ARTICLE
AU  - Melissa Savard
AU  - Tharick A. Pascoal
AU  - Thijs Dhollander
AU  - Yasser Iturria-Medina
AU  - Paolo Vitali
AU  - Joseph Therriault
AU  - Sulantha Mathotaarachchi
AU  - Andrea L. Benedet
AU  - Serge Gauthier
AU  - Pedro Rosa-Neto
AU  - for the Frontotemporal Lobar Degeneration Neuroimaging Initiative
TI  - Impact of long- and short-range fiber depletion on the cognitive deficits of fronto-temporal dementia
AID  - 10.1101/2020.05.01.064576
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.05.01.064576
4099  - http://biorxiv.org/content/early/2020/05/02/2020.05.01.064576.short
4100  - http://biorxiv.org/content/early/2020/05/02/2020.05.01.064576.full
AB  - Fronto-temporal dementia (FTD) is a neurodegenerative disease characterized by focal atrophy of the gray matter (GM), especially in the frontal and temporal regions. Recent studies suggest a framework where white matter (WM) atrophy plays an important role in FTD pathophysiology. However, these studies often overlook the fact that WM tracts bridging different brain regions may have different vulnerabilities to the disease and the relative contribution of GM atrophy to this WM model, resulting in a less comprehensive understanding of the relationship between clinical symptoms and pathology. Here, by leveraging the sensitivity of advanced diffusion MRI modelling and metrics to precise white matter microstructural properties, we aim to clarify the relative contributions of WM fibers and GM atrophy to the cognitive symptoms typically found in FTD. A total of 155 participant from the Frontotemporal Lobar Degeneration Neuroimaging Initiative (FTLDNI) were analysed, including 68 normal elderly controls (CN), 28 behavioral variants (BV), 26 sematic variants (SV) and 30 progressive non fluent aphasia variants (PNFA) of FTD. Diffusion MRI analysis was performed using two complementary techniques: whole brain fixel-based analysis (FBA) and structural connectivity based on probabilistic tractography. Whole brain GM atrophy was assessed using voxel-based morphometry (VBM). Using a common factor analysis to extract a semantic and an executive factor, we aim to test the relative contribution of WM and GM of specific tracts in predicting cognition. We found that semantic symptoms were mainly dependent on short-range WM fiber disruption, while damage to long-range WM fibers was preferentially associated to executive dysfunction with the GM contribution to cognition being predominant for local processing. Our results support the importance of the disruption of specific WM tracts to the core cognitive symptoms associated with FTD. As large-scale WM tracts, which are particularly vulnerable to vascular disease, were highly associated with executive dysfunction, our findings highlight the importance of controlling for risk factors associated with deep white matter disease, such as vascular risk factors, in patients with FTD in order not to potentiate underlying executive dysfunction.Competing Interest StatementThe authors have declared no competing interest.