Neuroscience and Aphasia Research Unit, University of Manchester, United Kingdom; Department of Psychology, Philipps University of Marburg, Germany.
Neuroscience and Aphasia Research Unit, University of Manchester, United Kingdom.
Neuroimage Clin. 2018 Mar 27;18:952-962. doi: 10.1016/j.nicl.2018.03.031. eCollection 2018.
Neuropsychological assessment, brain imaging and computational modelling have augmented our understanding of the multifaceted functional deficits in people with language disorders after stroke. Despite the volume of research using each technique, no studies have attempted to assimilate all three approaches in order to generate a unified behavioural-computational-neural model of post-stroke aphasia. The present study included data from 53 participants with chronic post-stroke aphasia and merged: aphasiological profiles based on a detailed neuropsychological assessment battery which was analysed with principal component and correlational analyses; measures of the impairment taken from Dell's computational model of word production; and the neural correlates of both behavioural and computational accounts analysed by voxel-based correlational methodology. As a result, all three strands coincide with the separation of semantic and phonological stages of aphasic naming, revealing the prominence of these dimensions for the explanation of aphasic performance. Over and above three previously described principal components (phonological ability, semantic ability, executive-demand), we observed auditory working memory as a novel factor. While the phonological Dell parameter was uniquely related to phonological errors/factor, the semantic parameter was less clear-cut, being related to both semantic errors and omissions, and loading heavily with semantic ability and auditory working memory factors. The close relationship between the semantic Dell parameter and omission errors recurred in their high lesion-correlate overlap in the anterior middle temporal gyrus. In addition, the simultaneous overlap of the lesion correlate of omission errors with more dorsal temporal regions, associated with the phonological parameter, highlights the multiple drivers that underpin this error type. The novel auditory working memory factor was located along left superior/middle temporal gyrus and ventral inferior parietal lobe. The present study fused computational, behavioural and neural data to gain comprehensive insights into the nature of the multifaceted presentations in aphasia. Our unified account contributes enhanced knowledge on dimensions explaining chronic post-stroke aphasia, the variety of factors affecting inter-individual variability, the neural basis of performance, and potential clinical implications.
神经心理学评估、脑成像和计算建模增强了我们对中风后语言障碍患者多方面功能缺陷的理解。尽管每种技术都有大量的研究,但没有研究试图整合这三种方法,以生成中风后失语症的统一行为-计算-神经模型。本研究纳入了 53 名慢性中风后失语症患者的数据,并合并了以下内容:基于详细神经心理学评估工具包的失语症概况,该工具包通过主成分和相关分析进行分析;戴尔单词生成计算模型中测量的损伤程度;基于体素相关性方法分析的这两种行为和计算解释的神经相关性。结果表明,所有这三种方法都与失语性命名的语义和语音阶段的分离一致,这表明这些维度对于解释失语症表现的重要性。除了之前描述的三个主要成分(语音能力、语义能力、执行需求)之外,我们还观察到听觉工作记忆是一个新的因素。虽然语音戴尔参数与语音错误/因素具有独特的相关性,但语义参数则不太明确,与语义错误和遗漏都有关,并且与语义能力和听觉工作记忆因素的相关性较大。语义戴尔参数与遗漏错误之间的密切关系在其在前中颞叶的高病变相关性重叠中再次出现。此外,遗漏错误的病变相关性与与语音参数相关的更背侧颞区的同时重叠突出了支持这种错误类型的多种驱动因素。新的听觉工作记忆因素位于左侧上/中颞叶和腹侧下顶叶。本研究融合了计算、行为和神经数据,全面深入地了解了失语症的多方面表现的本质。我们的综合解释有助于增强对解释慢性中风后失语症的维度、影响个体间变异性的各种因素、表现的神经基础以及潜在临床意义的认识。