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Transversal functional connectivity and scene-specific processing in the human entorhinal-hippocampal circuitry

Abstract:
In the entorhinal cortex (EC), attempts have been made to identify the human homologue regions of the medial (MEC) and lateral (LEC) subdivision 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 discrete border between the pmEC and alEC. Furthermore, the EC subregions obtained by either imaging modality showed similar distinct connectivity patterns: While pmEC showed increased connectivity preferentially with the default mode network, the alEC exhibited increased connectivity with regions in the dorsal attention and salience networks. 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
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.7554/eLife.76479

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-2486-3201
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Role:
Author
ORCID:
0000-0002-7586-6410
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Role:
Author
ORCID:
0000-0002-0139-5388
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Role:
Author
ORCID:
0000-0003-1558-1883


Publisher:
eLife Sciences Publications
Journal:
eLife More from this journal
Volume:
11
Pages:
e76479
Publication date:
2022-10-12
DOI:
EISSN:
2050-084X
ISSN:
2050-084X


Language:
English
Keywords:
Pubs id:
2370966
Local pid:
pubs:2370966
Source identifiers:
W4304692419
Deposit date:
2026-02-13
ARK identifier:
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