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Structural neuroimaging of social cognition in progressive non-fluent aphasia and behavioral variant of frontotemporal dementia

机译:进行性非流利性失语和额颞痴呆行为变异的社会认知结构神经影像学

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摘要

Social cognition impairments are pervasive in the frontotemporal dementias (FTD). These deficits would be triggered by (a) basic emotion and face recognition processes as well as by (b) higher level social cognition (e.g., theory of mind, ToM). Both emotional processing and social cognition impairments have been previously reported in the behavioral variant of FTD (bvFTD) and also in other versions of FTDs, including primary progressive aphasia. However, no neuroanatomic comparison between different FTD variants has been performed. We report selective behavioral impairments of face recognition, emotion recognition, and ToM in patients with bvFTD and progressive non-fluent aphasia (PNFA) when compared to controls. Voxel-based morphometry (VBM) shows a classical impairment of mainly orbitofrontal (OFC), anterior cingulate (ACC), insula and lateral temporal cortices in patients. Comparative analysis of regional gray matter related to social cognition deficits (VBM) reveals a differential pattern of fronto-insulo-temporal atrophy in bvFTD and an insulo-temporal involvement in PNFA group. Results suggest that in spite of similar social cognition impairments reported in bvFTD and PNFA, the former represents an inherent ToM affectation whereas in the PNFA these deficits could be related to more basic processes of face and emotion recognition. These results are interpreted in the frame of the fronto-insulo-temporal social context network model (SCNM).
机译:额颞痴呆(FTD)中普遍存在社会认知障碍。这些缺陷将由(a)基本的情绪和面部识别过程以及(b)较高水平的社会认知(例如,心理理论,ToM)触发。 FTD的行为变异(bvFTD)和其他版本的FTD(包括原发性进行性失语)以前都曾报道过情绪加工和社交认知障碍。但是,尚未进行不同FTD变体之间的神经解剖比较。我们报告与对照相比,bvFTD和进行性非流利性失语症(PNFA)患者的面部识别,情绪识别和ToM选择性行为障碍。基于体素的形态计量学(VBM)在患者中主要表现为眶额叶(OFC),前扣带回(ACC),岛突和外侧颞皮质的经典损伤。对与社会认知缺陷(VBM)相关的区域灰质的比较分析显示,bvFTD中额窦-颞-颞肌萎缩和PNFA组的额颞-颞肌萎缩的差异模式。结果表明,尽管在bvFTD和PNFA中报告了相似的社交认知障碍,但前者代表一种固有的ToM影响,而在PNFA中,这些缺陷可能与面部和情绪识别的更基本过程有关。这些结果在额际-时空社会情境网络模型(SCNM)的框架中进行解释。

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