Differentiation between Subtypes of Primary Progressive Aphasia by Using Cortical Thickness and Diffusion-Tensor MR Imaging Measures

Radiology
Federica AgostaMassimo Filippi

Abstract

To test a multimodal magnetic resonance (MR) imaging-based approach composed of cortical thickness and white matter (WM) damage metrics to discriminate between variants of primary progressive aphasia (PPA) that are nonfluent and/or agrammatic (NFVPPA) and semantic (SVPPA). This study was approved by the local ethics committees on human studies, and written informed consent from all patients was obtained before their enrollment. T1-weighted and diffusion-tensor (DT) MR images were obtained from 13 NFVPPA patients, 13 SVPPA patients, and 23 healthy control participants. Cortical thickness and DT MR imaging indices from the long-associative and interhemispheric WM tracts were obtained. A random forest (RF) analysis was used to identify the image features associated with each clinical syndrome. Individual patient classification was performed by using receiver operator characteristic curve analysis with cortical thickness, DT MR imaging, and a combination of the two modalities. RESULTS RF analysis showed that the best markers to differentiate the two PPA variants at an individual patient level among cortical thickness and DT MR imaging metrics were diffusivity abnormalities of the left inferior longitudinal and uncinate fasciculi an...Continue Reading

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Citations

Jul 28, 2016·Parkinsonism & Related Disorders·Francesca CasoMassimo Filippi
Sep 12, 2019·Frontiers in Neurology·Pablo Alexander ReyesDiana L Matallana
Feb 23, 2020·Journal of Cognitive Neuroscience·Martina SundqvistMarc Teichmann
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Aug 26, 2021·Scientific Data·Mahsa DadarD Louis Collins

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