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通过超高分辨率成像,从动物解剖到人类活体成像,对丘脑核进行功能映射,并将其整合到皮质-纹状体-丘脑-皮质回路中。

Functional mapping of thalamic nuclei and their integration into cortico-striatal-thalamo-cortical loops via ultra-high resolution imaging-from animal anatomy to in vivo imaging in humans.

机构信息

Clinical Affective Neuroimaging Laboratory, Department of Psychiatry and Psychotherapy, Center for Behavioral Brain Sciences, Otto-von-Guericke University Magdeburg, Germany ; Department of Behavioral Neurology, Leibniz Institute for Neurobiology Magdeburg, Germany.

出版信息

Front Neurosci. 2013 May 8;7:24. doi: 10.3389/fnins.2013.00024. eCollection 2013.

Abstract

The thalamus, a crucial node in the well-described cortico-striatal-thalamo-cortical circuits, has been the focus of functional and structural imaging studies investigating human emotion, cognition and memory. Invasive work in animals and post-mortem investigations have revealed the rich cytoarchitectonics and functional specificity of the thalamus. Given current restrictions in the spatial resolution of non-invasive imaging modalities, there is, however, a translational gap between functional and structural information on these circuits in humans and animals as well as between histological and cellular evidence and their relationship to psychological functioning. With the advance of higher field strengths for MR approaches, better spatial resolution is now available promising to overcome this conceptual problem. We here review these two levels, which exist for both neuroscientific and clinical investigations, and then focus on current attempts to overcome conceptual boundaries of these observations with the help of ultra-high resolution imaging.

摘要

丘脑是描述明确的皮质-纹状体-丘脑-皮质回路中的关键节点,一直是功能和结构影像学研究人类情感、认知和记忆的焦点。在动物的侵袭性研究和死后调查中,已经揭示了丘脑丰富的细胞构筑和功能特异性。鉴于目前非侵入性成像方式的空间分辨率有限,人类和动物的这些回路的功能和结构信息之间以及组织学和细胞学证据及其与心理功能的关系存在转化差距。随着磁共振方法场强的提高,现在有了更好的空间分辨率,有望克服这一概念问题。我们在这里回顾了这两个层次,它们既存在于神经科学研究中,也存在于临床研究中,然后重点介绍了目前利用超高分辨率成像克服这些观察结果的概念界限的尝试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac6f/3647142/8fa429f1d3fa/fnins-07-00024-g0001.jpg

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