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  Structural connectivity-based segmentation of the human entorhinal cortex

Framås Syversen, I., Witter, M. P., Kobro-Flatmoen, A., Goa, P. E., Navarro Schröder, T., & Doeller, C. F. (2021). Structural connectivity-based segmentation of the human entorhinal cortex. NeuroImage, 245: 118723. doi:10.1016/j.neuroimage.2021.118723.

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Syversen_2021.pdf (Verlagsversion), 3MB
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Framås Syversen, Ingrid1, Autor
Witter, Menno P.1, Autor
Kobro-Flatmoen, Asgeir1, Autor
Goa, Pål Erik2, Autor
Navarro Schröder, Tobias1, Autor
Doeller, Christian F.1, 3, 4, Autor           
Affiliations:
1Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway, ou_persistent22              
2Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway, ou_persistent22              
3Department Psychology (Doeller), MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2591710              
4Institute of Psychology, University of Leipzig, Germany, ou_persistent22              

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Schlagwörter: Magnetic resonance imaging; Diffusion tensor imaging; Structural connectivity; Medial entorhinal cortex; Lateral entorhinal cortex; Segmentation
 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2021-10-222021-07-302021-11-112021-11-122021-12-15
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1016/j.neuroimage.2021.118723
Anderer: epub 2021
PMID: 34780919
 Art des Abschluß: -

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Projektname : -
Grant ID : ERC-CoG GEOCOG 724836
Förderprogramm : -
Förderorganisation : European Research Council (ERC)
Projektname : -
Grant ID : 223262/F50
Förderprogramm : -
Förderorganisation : Research Council of Norway
Projektname : -
Grant ID : 197467/F50
Förderprogramm : -
Förderorganisation : National Infrastructure scheme of the Research Council of Norway – NORBRAIN
Projektname : -
Grant ID : P41EB015896; S10RR023043; 1S10RR023401 and 1S10RR019307
Förderprogramm : -
Förderorganisation : National Institutes of Health (NIH)

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Titel: NeuroImage
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Orlando, FL : Academic Press
Seiten: - Band / Heft: 245 Artikelnummer: 118723 Start- / Endseite: - Identifikator: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166