Anterior Insula Drives Progressive Structural Brain Network Atrophy in the Behavioural Variant of Frontotemporal Dementia

IF 3.3 2区 医学 Q1 NEUROIMAGING
Tao Chen, Rebekah M. Ahmed, Manisha Narasimhan, Tianyu Yang, David Foxe, Olivier Piguet, Muireann Irish
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Abstract

The behavioural variant of frontotemporal dementia (bvFTD) is a younger-onset dementia syndrome characterised by early atrophy of frontoinsular cortices, manifesting in profound socioemotional disturbances. Converging evidence from correlational, data-driven, and computational approaches indicates large-scale network degeneration in bvFTD. While the insula is consistently implicated, it remains unclear whether insular atrophy causally impacts progressive large-scale structural network alterations in bvFTD. Eighty-two patients with clinically probable bvFTD were classified as very mild/mild (n = 35), moderate (n = 30), and severe (n = 17) using the CDR plus NACC FTLD. Grey matter volume comparison between the entire bvFTD group and a healthy control group matched for age and education identified the left anterior insula as the initial maximal site of atrophy in bvFTD. To determine potential causal effects of insular atrophy on network-based dysfunction in bvFTD, a voxel-wise causal structural covariance network (CaSCN) was constructed based on pseudo-time-series morphometric data using the left anterior insula as the seed region. Sex, age, years of education, total intracranial volume (TIV), and scanning site were included as covariates, along with the difference between the sum of boxes score for the CDR plus NACC FTLD across the two pseudo–time points. Finally, an event-based model (EBM) was applied to confirm the sequence of regional atrophy precipitated by left anterior insula atrophy, which emerged in the CaSCN analysis. BvFTD patients in the very mild/mild disease subgroup showed predominant atrophy of frontotemporal (e.g., insula, middle frontal gyrus), limbic (e.g., hippocampus, amygdala), and subcortical (e.g., putamen, nucleus accumbens) structures. Widespread grey matter atrophy was evident in the moderate bvFTD subgroup, extending to the middle cingulate, paracingulate gyri, and the thalamus, which progressed to posterior brain regions, including the fusiform gyrus and the cerebellum in the severe subgroup. Importantly, the CaSCN and event-based model analysis reinforced the disease-staging results by revealing progression of atrophy from the initial seed region of the left anterior insula to the orbitofrontal cortex, putamen/nucleus accumbens, anterior cingulate cortex, dorsolateral prefrontal cortex, inferior temporal gyrus, and supramarginal gyrus, before progressing posteriorly to the lingual gyrus. Using causal structural covariance network analysis and event-based modelling, our findings indicate a causal role for the left anterior insula in driving the spread of pathology in bvFTD through well-delineated functional brain networks known to support higher-order cognitive and socioemotional processing. By capturing the direction of atrophy progression, our findings hold utility for potentially monitoring and tracking the efficacy of novel therapeutics on brain function in bvFTD.

Abstract Image

在额颞叶痴呆的行为变异中,前脑岛驱动进行性结构脑网络萎缩。
额颞叶痴呆(bvFTD)的行为变异是一种年轻发病的痴呆综合征,其特征是早期额岛皮质萎缩,表现为严重的社会情绪障碍。来自相关、数据驱动和计算方法的证据表明,bvFTD中存在大规模的网络退化。虽然一直与脑岛有关,但尚不清楚脑岛萎缩是否会导致bvFTD的进行性大规模结构网络改变。使用CDR + NACC FTLD将82例临床可能的bvFTD患者分为极轻/轻度(n = 35)、中度(n = 30)和重度(n = 17)。bvFTD组与年龄和教育程度相匹配的健康对照组的灰质体积比较表明,左侧前岛是bvFTD患者最初最大萎缩部位。为了确定脑岛萎缩对bvFTD中基于网络的功能障碍的潜在因果影响,基于伪时间序列形态测量数据,以左前叶脑岛作为种子区,构建了基于体素的因果结构协方差网络(CaSCN)。包括性别、年龄、受教育年数、总颅内容积(TIV)和扫描部位,以及CDR和NACC FTLD在两个假时间点的盒子评分之和的差异。最后,采用基于事件的模型(EBM)对CaSCN分析中出现的左前脑岛萎缩引发的区域萎缩序列进行确认。非常轻度/轻度疾病亚组的BvFTD患者主要表现为额颞叶(如岛叶、额中回)、边缘(如海马、杏仁核)和皮质下(如壳核、伏隔核)结构的萎缩。在中度bvFTD亚组中,广泛的灰质萎缩很明显,延伸到中扣带、扣带旁回和丘脑,并进展到大脑后部区域,包括梭状回和小脑。重要的是,CaSCN和基于事件的模型分析强化了疾病分期结果,揭示了萎缩的进展,从最初的左前脑岛种子区到眶额皮质、壳核/伏隔核、前扣带皮层、背外侧前额皮质、颞下回和边缘上回,然后进展到后部舌回。利用因果结构协方差网络分析和基于事件的建模,我们的研究结果表明,左前脑岛通过支持高阶认知和社会情绪处理的良好描述的脑功能网络,在驱动bvFTD病理扩散方面发挥了因果作用。通过捕获萎缩进展的方向,我们的发现对于潜在地监测和跟踪新疗法对bvFTD脑功能的疗效具有实用价值。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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