Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
J Nucl Med. 2020 Sep;61(9):1341-1347. doi: 10.2967/jnumed.119.234930. Epub 2020 May 1.
Functional MRI (fMRI) studies have reported altered integrity of large-scale neurocognitive networks (NCNs) in dementing disorders. However, findings on the specificity of these alterations in patients with Alzheimer disease (AD) and behavioral-variant frontotemporal dementia (bvFTD) are still limited. Recently, NCNs have been successfully captured using PET with F-FDG. Network integrity was measured in 72 individuals (38 male) with mild AD or bvFTD, and in healthy controls, using a simultaneous resting-state fMRI and F-FDG PET. Indices of network integrity were calculated for each subject, network, and imaging modality. In either modality, independent-component analysis revealed 4 major NCNs: anterior default-mode network (DMN), posterior DMN, salience network, and right central executive network (CEN). In fMRI data, the integrity of the posterior DMN was found to be significantly reduced in both patient groups relative to controls. In the AD group the anterior DMN and CEN appeared to be additionally affected. In PET data, only the integrity of the posterior DMN in patients with AD was reduced, whereas 3 remaining networks appeared to be affected only in patients with bvFTD. In a logistic regression analysis, the integrity of the anterior DMN as measured with PET alone accurately differentiated between the patient groups. A correlation between indices of 2 imaging modalities was low overall. FMRI and F-FDG PET capture partly different aspects of network integrity. A higher disease specificity for NCNs as derived from PET data supports metabolic connectivity imaging as a promising diagnostic tool.
功能磁共振成像(fMRI)研究报告称,在痴呆症中,大规模神经认知网络(NCN)的完整性发生改变。然而,阿尔茨海默病(AD)和行为变异额颞叶痴呆(bvFTD)患者中这些改变的特异性发现仍然有限。最近,使用 F-FDG 的 PET 成功捕获了 NCN。使用同时进行的静息态 fMRI 和 F-FDG PET ,对 72 名轻度 AD 或 bvFTD 患者(38 名男性)和健康对照者的网络完整性进行了测量。为每个受试者、网络和成像方式计算了网络完整性指数。在任何一种模式下,独立成分分析都揭示了 4 个主要的 NCN:前默认模式网络(DMN)、后 DMN、突显网络和右中央执行网络(CEN)。在 fMRI 数据中,与对照组相比,两个患者组的后 DMN 完整性均显著降低。在 AD 组中,前 DMN 和 CEN 似乎也受到了影响。在 PET 数据中,只有 AD 患者的后 DMN 完整性降低,而其余 3 个网络似乎仅在 bvFTD 患者中受到影响。在逻辑回归分析中,仅使用 PET 测量的前 DMN 完整性可准确区分患者组。两种成像方式之间的相关性总体上较低。fMRI 和 F-FDG PET 捕获了网络完整性的部分不同方面。源自 PET 数据的 NCN 具有更高的疾病特异性,支持代谢连通性成像作为一种有前途的诊断工具。