دورية أكاديمية

Structural connectivity-based segmentation of the human entorhinal cortex

التفاصيل البيبلوغرافية
العنوان: Structural connectivity-based segmentation of the human entorhinal cortex
المؤلفون: Ingrid Framås Syversen, Menno P. Witter, Asgeir Kobro-Flatmoen, Pål Erik Goa, Tobias Navarro Schröder, Christian F. Doeller
المصدر: NeuroImage, Vol 245, Iss , Pp 118723- (2021)
بيانات النشر: Elsevier, 2021.
سنة النشر: 2021
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: Magnetic resonance imaging, Diffusion tensor imaging, Structural connectivity, Medial entorhinal cortex, Lateral entorhinal cortex, Segmentation, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: The medial (MEC) and lateral entorhinal cortex (LEC), widely studied in rodents, are well defined and characterized. In humans, however, the exact locations of their homologues remain uncertain. Previous functional magnetic resonance imaging (fMRI) studies have subdivided the human EC into posteromedial (pmEC) and anterolateral (alEC) parts, but uncertainty remains about the choice of imaging modality and seed regions, in particular in light of a substantial revision of the classical model of EC connectivity based on novel insights from rodent anatomy. Here, we used structural, not functional imaging, namely diffusion tensor imaging (DTI) and probabilistic tractography to segment the human EC based on differential connectivity to other brain regions known to project selectively to MEC or LEC. We defined MEC as more strongly connected with presubiculum and retrosplenial cortex (RSC), and LEC as more strongly connected with distal CA1 and proximal subiculum (dCA1pSub) and lateral orbitofrontal cortex (OFC). Although our DTI segmentation had a larger medial-lateral component than in the previous fMRI studies, our results show that the human MEC and LEC homologues have a border oriented both towards the posterior-anterior and medial-lateral axes, supporting the differentiation between pmEC and alEC.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1095-9572
Relation: http://www.sciencedirect.com/science/article/pii/S1053811921009952; https://doaj.org/toc/1095-9572
DOI: 10.1016/j.neuroimage.2021.118723
URL الوصول: https://doaj.org/article/d962b4dc7ae34d87be57f139cc000a29
رقم الأكسشن: edsdoj.962b4dc7ae34d87be57f139cc000a29
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10959572
DOI:10.1016/j.neuroimage.2021.118723