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MTL200:一种基于表面的内侧颞叶概率图谱。

The MTL200: a surface-based, probabilistic atlas of the medial temporal lobe.

作者信息

Faul Ian, Agarwal Adya, Graziose Stephen, Nwacha Andrew, Park Janis, Sahibul Anisah, Tong Katie, Deen Ben

机构信息

Department of Psychology, Tulane University, New Orleans, LA, USA.

出版信息

bioRxiv. 2025 Dec 9:2025.12.04.692420. doi: 10.64898/2025.12.04.692420.

DOI:10.64898/2025.12.04.692420
PMID:41409153
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12707270/
Abstract

The human medial temporal lobe (MTL) includes a number of cortical regions surrounding the hippocampus implicated in long-term memory and high-level perception, including temporopolar cortex (TPC), entorhinal cortex (ERC), perirhinal cortex (PRC), and parahippocampal cortex (PHC). A critical prerequisite to studying the function of these areas is to define their anatomical boundaries. While several atlases or segmentations methods for automated boundary definition exist, they have limitations: 1) they are derived from small sample sizes; 2) most do not include TPC; and 3) they are volumetric rather than surface-based and are therefore not straightforward to use for surface-based analysis of MRI data. Here we present the MTL200: a surface-based, probabilistic atlas of MTL regions TPC, ERC, PRC, and PHC. The atlas is derived from hand drawings of regions based on gross anatomical features corresponding to cytoarchitectonic boundaries, using anatomical MRI data from 200 human participants. This work provides a valuable tool for researchers studying the anatomy and function of MTL regions, particularly the poorly characterized area TPC.

摘要

人类内侧颞叶(MTL)包括海马体周围的一些皮质区域,这些区域与长期记忆和高级感知有关,包括颞极皮质(TPC)、内嗅皮质(ERC)、嗅周皮质(PRC)和海马旁皮质(PHC)。研究这些区域功能的一个关键前提是确定它们的解剖边界。虽然存在几种用于自动边界定义的图谱或分割方法,但它们存在局限性:1)它们来自小样本量;2)大多数不包括TPC;3)它们是基于体积的而非基于表面的,因此不易用于MRI数据的基于表面的分析。在此,我们展示了MTL200:一个基于表面的、关于MTL区域TPC、ERC、PRC和PHC的概率图谱。该图谱源自基于与细胞构筑边界相对应的大体解剖特征的区域手绘,使用了来自200名人类参与者的解剖MRI数据。这项工作为研究MTL区域的解剖结构和功能的研究人员提供了一个有价值的工具,特别是对于特征描述较少的TPC区域。