小脑成像分析方法

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences Pub Date : 2023-12-01 DOI:10.1016/j.cobeha.2023.101328

Nikos Priovoulos , Pierre-Louis Bazin

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引用次数: 0

摘要

人的小脑由一个延伸的、高度折叠的、层压的皮层片组成，覆盖在白质和小脑核上。这种复杂的解剖结构阻碍了磁共振成像数据的处理，因为相关结构没有完全解决。在这篇综述中，我们探讨了用于小脑解剖和功能成像的典型处理技术，以及它们在成像保真度方面的主要局限性。此外，我们讨论了适用于死后和体内的新兴方法，这些方法通过更高分辨率的数据和个体水平的处理大大提高了小脑成像的保真度。

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Methods for cerebellar imaging analysis

The human cerebellum consists of an extended, highly-folded, and laminated cortical sheet overlying the white matter and cerebellar nuclei. This complex anatomy hinders the processing of magnetic resonance imaging data, as the relevant structures are not fully resolved. In this review, we explore the typical processing techniques employed for the anatomical and functional imaging of the cerebellum, along with their primary limitations with respect to imaging fidelity. Moreover, we discuss emerging methods applicable postmortem and in-vivo that greatly enhance fidelity in cerebellar imaging through higher-resolution data and individual-level processing.

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来源期刊

Current Opinion in Behavioral Sciences Neuroscience-Cognitive Neuroscience

CiteScore

10.90

自引率

2.00%

发文量

135

期刊介绍： Current Opinion in Behavioral Sciences is a systematic, integrative review journal that provides a unique and educational platform for updates on the expanding volume of information published in the field of behavioral sciences.