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本文引用的文献

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Changes in auditory feedback connections determine the severity of speech processing deficits after stroke.听觉反馈连接的变化决定了中风后言语处理缺陷的严重程度。
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Generative embedding for model-based classification of fMRI data.基于生成式嵌入的 fMRI 数据模型分类。
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Multiple routes from occipital to temporal cortices during reading.阅读过程中从枕叶到颞叶皮质的多种途径。
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EEG and MEG data analysis in SPM8.SPM8 中的 EEG 和 MEG 数据分析。
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Comparing families of dynamic causal models.比较动态因果模型的家族。
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Predicting language outcome and recovery after stroke: the PLORAS system.预测中风后的语言预后和恢复:PLORAS 系统。
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Changing meaning causes coupling changes within higher levels of the cortical hierarchy.意义的改变会导致皮质层级结构中更高层次的耦合变化。
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Predictive coding under the free-energy principle.自由能原理下的预测编码
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Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing.听觉皮层中的图谱与信息流:非人灵长类动物为人类言语加工提供启示。
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右侧大脑半球在持续失语症患者中支持但不能替代左侧大脑半球的听觉功能。

The right hemisphere supports but does not replace left hemisphere auditory function in patients with persisting aphasia.

机构信息

Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, UK.

出版信息

Brain. 2013 Jun;136(Pt 6):1901-12. doi: 10.1093/brain/awt087. Epub 2013 May 28.

DOI:10.1093/brain/awt087
PMID:23715097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3673464/
Abstract

In this study, we used magnetoencephalography and a mismatch paradigm to investigate speech processing in stroke patients with auditory comprehension deficits and age-matched control subjects. We probed connectivity within and between the two temporal lobes in response to phonemic (different word) and acoustic (same word) oddballs using dynamic causal modelling. We found stronger modulation of self-connections as a function of phonemic differences for control subjects versus aphasics in left primary auditory cortex and bilateral superior temporal gyrus. The patients showed stronger modulation of connections from right primary auditory cortex to right superior temporal gyrus (feed-forward) and from left primary auditory cortex to right primary auditory cortex (interhemispheric). This differential connectivity can be explained on the basis of a predictive coding theory which suggests increased prediction error and decreased sensitivity to phonemic boundaries in the aphasics' speech network in both hemispheres. Within the aphasics, we also found behavioural correlates with connection strengths: a negative correlation between phonemic perception and an inter-hemispheric connection (left superior temporal gyrus to right superior temporal gyrus), and positive correlation between semantic performance and a feedback connection (right superior temporal gyrus to right primary auditory cortex). Our results suggest that aphasics with impaired speech comprehension have less veridical speech representations in both temporal lobes, and rely more on the right hemisphere auditory regions, particularly right superior temporal gyrus, for processing speech. Despite this presumed compensatory shift in network connectivity, the patients remain significantly impaired.

摘要

在这项研究中,我们使用脑磁图和不匹配范式来研究听觉理解缺陷的中风患者和年龄匹配的对照组的言语处理。我们使用动态因果建模探测了对语音(不同单词)和声学(相同单词)异类的颞叶内和颞叶间的连通性。我们发现,在左初级听觉皮层和双侧颞上回中,对照组的自我连接的调制功能要强于语音差异,而失语症患者则较弱。患者表现出从右初级听觉皮层到右颞上回(前馈)以及从左初级听觉皮层到右初级听觉皮层(半球间)的连接调制较强。这种差异的连通性可以根据预测编码理论来解释,该理论表明,在两个半球的失语症者的言语网络中,预测误差增加,对语音边界的敏感性降低。在失语症患者中,我们还发现了与连接强度相关的行为相关性:语音感知与半球间连接(左颞上回至右颞上回)呈负相关,语义表现与反馈连接(右颞上回至右初级听觉皮层)呈正相关。我们的研究结果表明,言语理解受损的失语症患者在两个颞叶中都有较少的真实言语表达,并且更依赖右侧听觉区域,特别是右颞上回,来处理言语。尽管存在这种假定的网络连通性补偿性转变,但患者仍然存在显著的障碍。