Abstract

AbstractBackgroundThe three clinical presentations of frontotemporal dementia (FTD), behavioral‐variant FTD (bvFTD), progressive non‐fluent aphasia (PNFA), and semantic dementia (SD), are caused by abnormal aggregation of protein pathologies and progressive brain atrophy that precede the emergence of clinical symptoms. Neuropathology shows a ‘prion‐like’ propagation along white matter pathways before aggregating in the neuronal cell bodies of the grey matter. The in‐vivo mapping of upstream white matter trajectories of degeneration can improve disease staging and understanding of disease mechanisms in FTD, but longitudinal white matter studies are rare due to methodological challenges. Here, we develop a novel neuroimaging approach to map white matter changes in FTD using fixel‐based analysis (FBA), a new diffusion weighted imaging technique.MethodSixty FTD patients (23 bvFTD, 15 PNFA and 22 SD) were matched with 30 heathy controls. Participants underwent a comprehensive annual clinical assessment and high‐resolution multimodal MRI (median 2 years; range 1‐6 years). Time‐varying changes in white matter fibre density and cross‐section were computed with MRtrix3, FreeSurfer 7.1.1 and Spatiotemporal Linear Mixed Effects models.ResultAll FTD syndromes showed more extensive white matter changes at baseline than previously reported. In bvFTD, atrophy extended posteriorly over time, encroaching in tracts connecting subcortical and motor‐associations regions (Fig 1). In PNFA, baseline left‐lateralized atrophy extended anteriorly and inferiorly and into the contralateral hemisphere, eventually mirroring patterns of atrophy at presentation (Fig 2). In SD, the focal left temporal baseline atrophy extended posteriorly and laterally along the inferior and superior longitudinal fasculi, and involving the right hemisphere with disease progression (Fig 3).ConclusionThe FBA approach enabled the identification of new white matter bundles in FTD, with syndrome‐specific effects and improved biological interpretability compared to traditional tensor imaging methods. Our method can be extended beyond FTD to other neurodegenerative disorders to inform better models of disease staging and provide useful targets for patient stratification and monitoring in trials of disease‐monitoring interventions.

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