Language and Aphasia Laboratory, Department of Neurology, Leipzig University Hospital, Leipzig, Germany.
Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Elife. 2021 Sep 20;10:e67303. doi: 10.7554/eLife.67303.
The flexible and efficient adaptation to dynamic, rapid changes in the auditory environment likely involves generating and updating of internal models. Such models arguably exploit connections between the neocortex and the cerebellum, supporting proactive adaptation. Here, we tested whether temporo-cerebellar disconnection is associated with the processing of sound at short timescales. First, we identify lesion-specific deficits for the encoding of short timescale spectro-temporal non-speech and speech properties in patients with left posterior temporal cortex stroke. Second, using lesion-guided probabilistic tractography in healthy participants, we revealed bidirectional temporo-cerebellar connectivity with cerebellar dentate nuclei and crura I/II. These findings support the view that the encoding and modeling of rapidly modulated auditory spectro-temporal properties can rely on a temporo-cerebellar interface. We discuss these findings in view of the conjecture that proactive adaptation to a dynamic environment via internal models is a generalizable principle.
灵活高效地适应听觉环境中的动态、快速变化可能涉及内部模型的生成和更新。这种模型可以利用大脑新皮质和小脑之间的连接,支持主动适应。在这里,我们测试了颞-小脑断开是否与短时间尺度声音的处理有关。首先,我们在左侧颞后皮质中风患者中确定了特定于病变的短时间尺度谱-时非言语和言语特征的编码缺陷。其次,我们使用健康参与者的病变引导概率轨迹追踪,揭示了与小脑齿状核和蚓部 I/II 的双向颞-小脑连接。这些发现支持了这样一种观点,即快速调制听觉谱-时特性的编码和建模可以依赖于颞-小脑接口。我们根据这样一种推测来讨论这些发现,即通过内部模型主动适应动态环境是一种普遍的原则。