Evidence map›Paper›PMID 31592993›Full record

ReviewTopics in magnetic resonance imaging : TMRI2019

Challenges and Opportunities in Connectome Construction and Quantification in the Developing Human Fetal Brain.

David Hunt, Manjiri Dighe, Christopher Gatenby, Colin Studholme

Open access · greenAbstract readReview
In one paragraph

Review in Topics in magnetic resonance imaging : TMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 2 institutions in 2 countries.

David HuntDepartment of Pediatrics.
Manjiri DigheDepartment of Radiology.
Christopher GatenbyDepartment of Radiology.
Colin StudholmeDepartments of Bioengineering, Pediatrics, and Radiology, University of Washington, Seattle, WA.
Seattle Pacific University · USUniversity of Washington · US

Funding

Motion Robust Mapping of Human Brain Microstructure and Macrostructure In-UteroR01NS055064 · NINDS · UNIVERSITY OF WASHINGTON · PI STUDHOLME, COLIN · 2006 to 2017
$4.1M
Motion Robust Mapping of Human Brain Functional Connectivity Changes in UteroR01EB017133 · NIBIB · UNIVERSITY OF WASHINGTON · PI STUDHOLME, COLIN · 2013 to 2016
$2.5M
NIBIB NIH HHS R01 EB017133NINDS NIH HHS R01 NS055064
6 · The paper itself

Abstract

The white matter structure of the human brain undergoes critical developmental milestones in utero, which we can observe noninvasively using diffusion-weighted magnetic resonance imaging. In order to understand this fascinating developmental process, we must establish the variability inherent in such a challenging imaging environment and how measurable quantities can be transformed into meaningful connectomes. We review techniques for reconstructing and studying the brain connectome and explore promising opportunities for in utero studies that could lead to more accurate measurement of structural properties and allow for more refined and insightful analyses of the fetal brain. Opportunities for more sophisticated analyses of the properties of the brain and its dynamic changes have emerged in recent years, based on the development of iterative techniques to reconstruct motion-corrupted diffusion-weighted data. Although reconstruction quality is greatly improved, the treatment of fundamental quantities like edge strength requires careful treatment because of the specific challenges of imaging in utero. There are intriguing challenges to overcome, from those in analysis due to both imaging limitations and the significant changes in structural connectivity, to further image processing to address the specific properties of the target anatomy and quantification into a developmental connectome.

Indexed as

BrainConnectomeDiffusion Magnetic Resonance ImagingHumansImage Processing, Computer-Assisted

Identifiers

PMID31592993
PMCPMC6788770
OpenAlexW2979701275

What OpenQuestion holds

Textmetadata
LicenceTDM
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.