Evidence map›Paper›PMID 30957108›Full record

ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2018

Patch-based Mapping of Transentorhinal Cortex with a Distributed Atlas.

Jin Kyu Gahm, Yuchun Tang, Yonggang Shi

Abstract read
In one paragraph

Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jin Kyu GahmLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Yuchun TangLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Yonggang ShiLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA.

Funding

VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRASKIE, MEREDITH NICOLE · 1985 to 2019
$41.0M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Human Connectomes for Low Vision, Blindness, and Sight RestorationU01EY025864 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AGUIRRE, GEOFFREY KARL, PATEL, VIVEK R. · 2015 to 2018
$4.0M
Surface-Based Fiber Tracking and Modeling Techniques for Mapping the Superficial White Matter Connectome with Diffusion MRIR01EB022744 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Yonggang Shi · 2016 to 2026
$3.7M
The structural and functional connectome across Alzheimer's disease subtypesU01AG051218 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RINGMAN, JOHN M · 2015 to 2018
$3.6M
NEI NIH HHS U01 EY025864NIA NIH HHS P50 AG005142NIA NIH HHS U01 AG051218NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB022744
6 · The paper itself

Abstract

The significance of the transentorhinal (TE) cortex has been well known for the early diagnosis of Alzheimer's disease (AD). However, precise mapping of the TE cortex for the detection of local changes in the region was not well established mostly due to significant geometric variations around TE. In this paper, we propose a novel framework for automated patch generation of the TE cortex, patch-based mapping, and construction of an atlas with a distributed network. We locate the TE cortex and extract a small patch surrounding the TE cortex from a cortical surface using a coarse map by FreeSurfer. We apply a recently developed intrinsic surface mapping algorithm based on Riemannian metric optimization on surfaces (RMOS) in the Laplace-Beltrami embedding space to compute fine maps between the small patches. We also develop a distributed atlas of the TE cortex, formed by a shortest path tree whose nodes are atlas subjects, to reduce anatomical misalignments by mapping only between similar patches. In our experimental results, we construct the distributed atlas of the TE cortex using 50 subjects from the Human Connectome Project (HCP), and show that detailed correspondences within the distributed network are established. Using a large-scale dataset of 380 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI), we demonstrate that our patch-based mapping with the distribute atlas outperforms the conventional centralized mapping (direct mapping to a single atlas) for detecting atrophy of the TE cortex in the early stage of AD.

Indexed as

Alzheimer DiseaseCerebral CortexMagnetic Resonance ImagingAlgorithmsAtrophyHumansNeuroimagingReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID30957108
PMCPMC6447296

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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.