Skip to main content

ORIGINAL RESEARCH article

Front. Neurosci.
Sec. Brain Imaging Methods
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1529123
This article is part of the Research Topic Diffusion-Weighted Imaging: Advances and Implementations in Neurology View all 3 articles

Brain local structural connectomes and the subtypes of the medial temporal lobe parcellations

Provisionally accepted
Zhensheng Li Zhensheng Li 1Jie Ma Jie Ma 2*Hongmin Bai Hongmin Bai 1Bingmei Deng Bingmei Deng 1*Jian Lin Jian Lin 1*Weimin Wang Weimin Wang 1*
  • 1 General Hospital of Southern Theater Command of PLA, Southern Medical University, Guangzhou, China
  • 2 People's Liberation Army General Hospital, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    Objective: To investigate the quantitative characteristics and major subtypes of local structural connectomes for medial temporal lobe (MTL) parcellations. Methods: The Q-Space Diffeomorphic Reconstruction (QSDR) method was used to track white matter fibers for the ROIs within MTL based on the integrating high-resolution T1 structural MR imaging and diffusion MR imaging of 100 adult Chinese individuals. Graph theoretical analysis was employed to construct the local structural connectome models for ROIs within MTL and acquire the network parameters. These connectivity matrices of these connectomes were classified into major subtypes undergoing hierarchical clustering. Results: 1. In the local brain connectomes, the overall network features exhibited a low characteristic path length paired with moderate to high global efficiency, suggesting the effectiveness of the local brain connectome construction. The amygdala connectomes exhibited longer characteristic path length and weaker global efficiency than the ipsilateral hippocampus and parahippocampal connectomes. 2. The hubs of the amygdala connectomes were dispersed across the ventral frontal, olfactory area, limbic, parietal regions and subcortical nuclei, and the hubs the hippocampal connectomes were mainly situated within the limbic, parietal, and subcortical regions. The hubs distribution of the parahippocampal connectomes resembled the hippocampal structural connectomes, but lacking interhemispheric connections and connectivity with subcortical nuclei. 3. The subtypes of the brain local structural connectomes for each ROI were classified by hierarchical clustering, The subtypes of the bilateral amygdala connectomes were the amygdala-prefrontal connectome; the amygdala-ipsilateral or contralateral limbic connectome and the amygdalaposterior connectome. The subtypes of the bilateral hippocampal connectomes primarily included the hippocampus-ipsilateral or contralateral limbic connectome and the anterior temporalhippocampus-ventral temporal-occipital connectome in the domain hemisphere. The subtypes of the parahippocampal connectomes exhibited resemblances to those of the hippocampus.We have constructed the brain local connectomes of the MTL parcellations and acquired the network parameters to delineate the hubs distribution through graph theory analysis. The connectomes can be classified into different major subtypes, which were closely related to the functional connectivity.

    Keywords: brain connectome, Local structural connectome, medial temporal lobe, brain connectivity, local connectivity

    Received: 16 Nov 2024; Accepted: 27 Jan 2025.

    Copyright: © 2025 Li, Ma, Bai, Deng, Lin and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Jie Ma, People's Liberation Army General Hospital, Beijing, 100853, Beijing Municipality, China
    Bingmei Deng, General Hospital of Southern Theater Command of PLA, Southern Medical University, Guangzhou, China
    Jian Lin, General Hospital of Southern Theater Command of PLA, Southern Medical University, Guangzhou, China
    Weimin Wang, General Hospital of Southern Theater Command of PLA, Southern Medical University, Guangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.