A combined <scp>DTI</scp>‐<scp>fMRI</scp> approach for optimizing the delineation of posteromedial versus anterolateral entorhinal cortex

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.

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Publication Details

Journal
Hippocampus
Published
2024-09-21
DOI
https://doi.org/10.1002/hipo.23639
Citations
4
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.62

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article

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

Daniel Reznik, Christian F. Doeller, Menno P. Witter, Ingrid Framås Syversen et al.
4 citations
Hippocampus
Advanced Neuroimaging Techniques and Applications
1.62
article

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

Daniel Reznik, Christian F. Doeller, Menno P. Witter, Ingrid Framås Syversen, Asgeir Kobro‐Flatmoen, Tobias Navarro Schröder
article en
4 citations

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.

HippocampusVol. 34(11)
Norwegian University of Science and Technology (NO), Akershus University Hospital (NO), Max Planck Institute for Human Cognitive and Brain Sciences (DE)
Kavli Foundation, Stiftelsen Kristian Gerhard Jebsen, Max-Planck-Gesellschaft, Helse Midt-Norge, Norges Forskningsråd, National Institutes of Health, McDonnell Center for Systems Neuroscience, Fakultet for medisin og helsevitenskap, Norges Teknisk-Naturvitenskapelige Universitet, European Research Council, Faculty of Medicine and Health, University of Sydney
Openalex Percentile: Top 16%
Advanced Neuroimaging Techniques and Applications
1.62
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