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精神分裂症中的语言功能障碍:评估神经追踪以表征潜在病症?

Language Dysfunction in Schizophrenia: Assessing Neural Tracking to Characterize the Underlying Disorder(s)?

作者信息

Meyer Lars, Lakatos Peter, He Yifei

机构信息

Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Clinic for Phoniatrics and Pedaudiology, University Hospital Münster, Münster, Germany.

出版信息

Front Neurosci. 2021 Feb 22;15:640502. doi: 10.3389/fnins.2021.640502. eCollection 2021.

Abstract

Deficits in language production and comprehension are characteristic of schizophrenia. To date, it remains unclear whether these deficits arise from dysfunctional linguistic knowledge, or dysfunctional predictions derived from the linguistic context. Alternatively, the deficits could be a result of dysfunctional neural tracking of auditory information resulting in decreased auditory information fidelity and even distorted information. Here, we discuss possible ways for clinical neuroscientists to employ neural tracking methodology to independently characterize deficiencies on the auditory-sensory and abstract linguistic levels. This might lead to a mechanistic understanding of the deficits underlying language related disorder(s) in schizophrenia. We propose to combine naturalistic stimulation, measures of speech-brain synchronization, and computational modeling of abstract linguistic knowledge and predictions. These independent but likely interacting assessments may be exploited for an objective and differential diagnosis of schizophrenia, as well as a better understanding of the disorder on the functional level-illustrating the potential of neural tracking methodology as translational tool in a range of psychotic populations.

摘要

语言产出和理解方面的缺陷是精神分裂症的特征。迄今为止,尚不清楚这些缺陷是源于语言知识功能失调,还是源于从语言语境中得出的功能失调的预测。或者,这些缺陷可能是听觉信息的神经追踪功能失调的结果,导致听觉信息保真度下降甚至信息扭曲。在此,我们讨论临床神经科学家利用神经追踪方法在听觉感觉和抽象语言层面独立表征缺陷的可能方式。这可能会带来对精神分裂症中与语言相关障碍潜在缺陷的机制性理解。我们建议将自然主义刺激、言语-脑同步测量以及抽象语言知识和预测的计算建模相结合。这些独立但可能相互作用的评估可用于精神分裂症的客观鉴别诊断,以及在功能层面更好地理解该疾病——这说明了神经追踪方法作为一系列精神病患者群体转化工具的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d80/7937925/46281c901dbd/fnins-15-640502-g001.jpg

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