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一种联合 DTI-fMRI 的方法,用于优化后内嗅皮质与前内嗅皮质的勾画。

A combined DTI-fMRI approach for optimizing the delineation of posteromedial versus anterolateral entorhinal cortex.

机构信息

Kavli Institute for Systems Neuroscience, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.

Department of Diagnostic Imaging, Akershus University Hospital, Lørenskog, Norway.

出版信息

Hippocampus. 2024 Nov;34(11):659-672. doi: 10.1002/hipo.23639. Epub 2024 Sep 21.

Abstract

In the entorhinal cortex (EC), attempts have been made to identify the human homologue regions of the medial (MEC) and lateral (LEC) subregions using either functional magnetic resonance imaging (fMRI) or diffusion tensor imaging (DTI). However, there are still discrepancies between entorhinal subdivisions depending on the choice of connectivity seed regions and the imaging modality used. While DTI can be used to follow the white matter tracts of the brain, fMRI can identify functionally connected brain regions. In this study, we used both DTI and resting-state fMRI in 103 healthy adults to investigate both structural and functional connectivity between the EC and associated cortical brain regions. Differential connectivity with these regions was then used to predict the locations of the human homologues of MEC and LEC. Our results from combining DTI and fMRI support a subdivision into posteromedial (pmEC) and anterolateral (alEC) EC and reveal a confined border between the pmEC and alEC. Furthermore, the EC subregions obtained by either imaging modality showed similar distinct whole-brain connectivity profiles. Optimizing the delineation of the human homologues of MEC and LEC with a combined, cross-validated DTI-fMRI approach allows to define a likely border between the two subdivisions and has implications for both cognitive and translational neuroscience research.

摘要

在内嗅皮层 (entorhinal cortex, EC) 中,人们试图通过功能磁共振成像 (functional magnetic resonance imaging, fMRI) 或弥散张量成像 (diffusion tensor imaging, DTI) 来识别内侧 (medial, MEC) 和外侧 (lateral, LEC) 亚区的人类同源区域。然而,由于连接种子区域的选择和所使用的成像方式不同,内嗅皮层的细分仍然存在差异。虽然 DTI 可用于追踪大脑的白质束,但 fMRI 可识别功能连接的脑区。在这项研究中,我们使用 DTI 和静息态 fMRI 对 103 名健康成年人进行了研究,以调查 EC 与相关皮质脑区之间的结构和功能连接。然后,使用这些区域的差异连接来预测 MEC 和 LEC 的人类同源区域的位置。我们结合 DTI 和 fMRI 的结果支持将 EC 分为后内侧 (posteromedial, pmEC) 和前外侧 (anterolateral, alEC) 区,并揭示了 pmEC 和 alEC 之间的界限。此外,两种成像方式获得的 EC 亚区显示出相似的、明显不同的全脑连接模式。通过联合、交叉验证的 DTI-fMRI 方法优化 MEC 和 LEC 人类同源区域的描绘,可以定义这两个细分区域之间的可能边界,这对认知和转化神经科学研究都具有重要意义。

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