Focal thalamus pathology in frontotemporal dementia: Phenotype-associated thalamic profiles

皮质基底变性 失智症 原发性进行性失语 丘脑 额颞叶变性 后皮质萎缩 神经科学 神经影像学 萎缩 肌萎缩侧索硬化 病理 语义性痴呆 医学 痴呆 进行性核上麻痹 心理学 疾病
作者
Mary Clare McKenna,Stacey Li Hi Shing,Aizuri Murad,Jasmin Lope,Orla Hardiman,Siobhán Hutchinson,Peter Bede
出处
期刊:Journal of the Neurological Sciences [Elsevier]
卷期号:436: 120221-120221 被引量:17
标识
DOI:10.1016/j.jns.2022.120221
摘要

BackgroundThe clinical phenotypes of frontotemporal dementia (FTD) are defined by distinctive clinical features and associated with unique cortical atrophy patterns. Clinical manifestations in FTD however are not solely driven by cortical pathology, but stem from the selective dysfunction of corticobasal circuits, the majority of which are relayed through thalamic nuclei. The objective of this study is the systematic radiological characterisation of thalamic pathology across the clinical spectrum of FTD to describe phenotype-associated thalamic signatures.Methods170 participants were included in a multimodal, prospective neuroimaging study to evaluate thalamic degeneration at a nuclear, vertex, and morphometric level using a uniform imaging protocol and a multimodal analysis approach.ResultsPatients with behavioural variant FTD (bvFTD), non-fluent variant primary progressive aphasia (nfvPPA), semantic variant primary progressive aphasia (svPPA) and amyotrophic lateral sclerosis-FTD (ALS-FTD) exhibit distinctive thalamic disease-burden profiles with the preferential degeneration of specific thalamic nuclei. While vertex analyses reveal largely overlapping thalamic atrophy patterns, morphometric analyses successfully capture focal intra-thalamic degeneration.ConclusionsMirroring selective cortical vulnerability, focal rather than global thalamic atrophy characterises the clinical subtypes of FTD. Thalamic degeneration is a likely contributor to the heterogeneity of clinical manifestations observed in FTD. As thalamic imaging techniques capture different facets of pathological change and differ in their sensitivity to detect distinguishing features, future studies should implement a multimodal approach with complementary MRI techniques.
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