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

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Ingrid Framås Syversen, Daniel Reznik, Menno P. Witter, Asgeir Kobro-Flatmoen, Tobias Navarro Schröder, Christian F. Doeller
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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.

Abstract Image

优化后内侧与前外侧内侧皮层划分的 DTI-fMRI 联合方法。
在内侧皮层(EC)中,已经有人尝试使用功能磁共振成像(fMRI)或弥散张量成像(DTI)来识别人类内侧(MEC)和外侧(LEC)亚区的同源区域。然而,由于选择的连接种子区域和使用的成像模式不同,内侧亚区之间仍然存在差异。DTI 可用于追踪大脑白质束,而 fMRI 则可识别功能连接的大脑区域。在这项研究中,我们在 103 名健康成年人中同时使用了 DTI 和静息态 fMRI,以研究 EC 与相关皮质脑区之间的结构和功能连接性。然后利用与这些区域的连接差异来预测人类同源的 MEC 和 LEC 的位置。我们结合 DTI 和 fMRI 的研究结果支持将欧共体细分为后内侧(pmEC)和前外侧(alEC),并揭示了 pmEC 和 alEC 之间的封闭边界。此外,通过两种成像模式获得的脑干亚区域显示出相似的全脑连接特征。通过交叉验证的 DTI-fMRI 组合方法优化了 MEC 和 LEC 的人类同源物的划分,从而确定了这两个亚区之间的可能边界,这对认知和转化神经科学研究都有意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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