Evidence map›Paper›PMID 29058349›Full record

ArticleHuman brain mapping2018

The bumps under the hippocampus.

Cheng Chang, Chuan Huang, Naiyun Zhou, Shawn Xiang Li, Lawrence Ver Hoef, Yi Gao

Abstract readValidation Study
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Insights into hippocampal perfusion using high-resolution, multi-modal 7T MRI.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  13. Recent Advances in Neuroimaging of Epilepsy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Review
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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.

Cheng ChangDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, New York, 11794.
Chuan HuangDepartment of Radiology, Stony Brook University, Stony Brook, New York, 11794.
Naiyun ZhouDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York, 11794.
Shawn Xiang LiSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China.
Lawrence Ver HoefDepartment of Neurology, The University of Alabama at Birmingham, CIRC 312, Birmingham, Alabama, 35294.
Yi GaoSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China.ORCID 0000-0003-0094-8136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shown in every neuroanatomy textbook, a key morphological feature is the bumpy ridges, which we refer to as hippocampal dentation, on the inferior aspect of the hippocampus. Like the folding of the cerebral cortex, hippocampal dentation allows for greater surface area in a confined space. However, examining numerous approaches to hippocampal segmentation and morphology analysis, virtually all published 3D renderings of the hippocampus show the inferior surface to be quite smooth or mildly irregular; we have rarely seen the characteristic bumpy structure on reconstructed 3D surfaces. The only exception is a 9.4T postmortem study (Yushkevich et al. [2009]: NeuroImage 44:385-398). An apparent question is, does this indicate that this specific morphological signature can only be captured using ultra high-resolution techniques? Or, is such information buried in the data we commonly acquire, awaiting a computation technique that can extract and render it clearly? In this study, we propose an automatic and robust super-resolution technique that captures the fine scale morphometric features of the hippocampus based on common 3T MR images. The method is validated on 9.4T ultra-high field images and then applied on 3T data sets. This method opens possibilities of future research on the hippocampus and other sub-cortical structural morphometry correlating the degree of dentation with a range of diseases including epilepsy, Alzheimer's disease, and schizophrenia. Hum Brain Mapp 39:472-490, 2018. © 2017 Wiley Periodicals, Inc.

Indexed as

Magnetic Resonance ImagingAdultAlgorithmsEpilepsyFemaleHippocampusHumansImaging, Three-DimensionalMaleMiddle AgedPattern Recognition, AutomatedSclerosisYoung Adulthippocampus dentationmorphometrysegmentation

Identifiers

PMID29058349
PMCPMC6866554

What OpenQuestion holds

Textmetadata
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.