Evidence map›Paper›PMID 34780919›Full record

ArticleNeuroImage2021

Structural connectivity-based segmentation of the human entorhinal cortex.

Ingrid Framås Syversen, Menno P Witter, Asgeir Kobro-Flatmoen, Pål Erik Goa, Tobias Navarro Schröder, Christian F Doeller

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Entorhinal-based path integration selectively predicts midlife risk of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Ingrid Framås SyversenKavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway. Electronic address: ingrid.f.syversen@ntnu.no.
Menno P WitterKavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway.
Asgeir Kobro-FlatmoenKavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway.
Pål Erik GoaDepartment of Physics, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Tobias Navarro SchröderKavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway.
Christian F DoellerKavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Institute of Psychology, Leipzig University, Leipzig, Germany.
Norwegian University of Science and Technology · NOLeipzig University · DE

Funding

The Human Connectome Project (HCP)U01MH093765 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2010 to 2014
$12.1M
Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Computeserver Structural &Functional Image AnalysisS10RR019307 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2004 to 2004
$496k
NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIBIB NIH HHS P41 EB015896NIMH NIH HHS U01 MH093765
6 · The paper itself

Abstract

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.

Indexed as

Diffusion Tensor ImagingAdultBrain MappingDatasets as TopicEntorhinal CortexHumansDiffusion tensor imagingLateral entorhinal cortexMagnetic resonance imagingMedial entorhinal cortexSegmentationStructural connectivity

Identifiers

PMID34780919
PMCPMC8756143
OpenAlexW3213093768

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.