Disease specific and nonspecific metabolic brain networks in behavioral variant of frontotemporal dementia.

Disease specific and nonspecific metabolic brain networks in behavioral variant of frontotemporal dementia.
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DOI:
10.1002/hbm.26140
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发表时间:
2023-02-15
影响因子:
4.8
通讯作者:
--
中科院分区:
医学2区
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额颞叶痴呆(bvFTD)的行为变体在年轻发作的痴呆患者中很常见。虽然之前已确定了bvFTD特异性多变量代谢脑模式(bFDRP),但对其时间演变、内部结构、萎缩效应及其与非特异性静息态网络(如默认模式网络(DMN))的关系知之甚少。在这项多中心研究中,我们探索了来自斯洛文尼亚、美国和德国的111例bvFTD、26例阿尔茨海默病、16例克雅氏病、24例语义变异型原发性进行性失语症(PPA)、18例非流利变异型PPA和77例健康对照受试者(HC)的FDG-PET脑扫描。使用比例子曲线模型/主成分分析在20例bvFTD患者和年龄匹配HC队列中确定bFDRP,并在3个独立队列中进行验证。其特征在于额叶皮质、前扣带回、前/中扣带回、尾状核、丘脑和颞极的代谢减退。其在bvFTD患者中的表达显著高于HC和其他痴呆综合征(p < .0004),与认知功能下降相关(p = .0001),并且在纵向队列中随时间推移而增加(p = .0007)。通过图论方法分析内部网络组织,发现bvFTD患者中存在显著的网络中断。我们进一步发现了与bFDRP大体对应的特定萎缩相关模式;然而,其对代谢模式的贡献极小。最后,尽管bFDRP和FDG-PET-衍生的DMN之间存在重叠,但我们证明了特定bFDRP的主要作用。综上所述,我们验证了bFDRP网络作为bvFTD特异性诊断/预后生物标志物,提供了对其高度可重现内部结构的独特见解,并证明bFDRP不受结构性萎缩的影响,且与正常静息状态网络丢失无关。额颞叶痴呆(bvFTD)特异性代谢脑模式(bFDRP)的行为变体是在三个不同人群中验证的稳健代谢生物标志物。其内部结构的特征是bvFTD患者中网络中断突出和信息传递效率低下。尽管与默认模式网络重叠,bFDRP是一个具有高度可重复性变化的独立网络。
Behavioral variant of frontotemporal dementia (bvFTD) is common among young‐onset dementia patients. While bvFTD‐specific multivariate metabolic brain pattern (bFDRP) has been identified previously, little is known about its temporal evolution, internal structure, effect of atrophy, and its relationship with nonspecific resting‐state networks such as default mode network (DMN). In this multicenter study, we explored FDG‐PET brain scans of 111 bvFTD, 26 Alzheimer's disease, 16 Creutzfeldt‐Jakob's disease, 24 semantic variant primary progressive aphasia (PPA), 18 nonfluent variant PPA and 77 healthy control subjects (HC) from Slovenia, USA, and Germany. bFDRP was identified in a cohort of 20 bvFTD patients and age‐matched HC using scaled subprofile model/principle component analysis and validated in three independent cohorts. It was characterized by hypometabolism in frontal cortex, insula, anterior/middle cingulate, caudate, thalamus, and temporal poles. Its expression in bvFTD patients was significantly higher compared to HC and other dementia syndromes (p < .0004), correlated with cognitive decline (p = .0001), and increased over time in longitudinal cohort (p = .0007). Analysis of internal network organization by graph‐theory methods revealed prominent network disruption in bvFTD patients. We have further found a specific atrophy‐related pattern grossly corresponding to bFDRP; however, its contribution to the metabolic pattern was minimal. Finally, despite the overlap between bFDRP and FDG‐PET‐derived DMN, we demonstrated a predominant role of the specific bFDRP. Taken together, we validated the bFDRP network as a diagnostic/prognostic biomarker specific for bvFTD, provided a unique insight into its highly reproducible internal structure, and proved that bFDRP is unaffected by structural atrophy and independent of normal resting state networks loss. Behavioral variant of the frontotemporal dementia (bvFTD) specific metabolic brain pattern (bFDRP) is a robust metabolic biomarker validated on three different populations. Its internal structure is characterized by prominent network disruption and inefficient information transfer in bvFTD patients. Despite overlapping with the default mode network, bFDRP is an independent network with highly reproducible changes.
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发表时间: 2017-02-01
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