Evidence map›Paper›PMID 32562584›Full record

ReviewDevelopmental dynamics : an official publication of the American Association of Anatomists2020

Closing the gap from transcription to the structural connectome enhances the study of connections in the human brain.

Christine J Charvet

Abstract readReview
In one paragraph

Review in Developmental dynamics : an official publication of the American Association of Anatomists, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Impact of Prenatal Alcohol Exposure on Cerebral Cortex Development.Advances in experimental medicine and biology · 2026
    Review
  3. Biomolecules · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

1 author.

Christine J CharvetCenter for Neuroscience, Delaware State University, Dover, Delaware, USA.ORCID 0000-0002-0985-3056

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
Updated confocal microscope in the Imaging Core facility to support biomedical researchP20GM103653 · NIGMS · DELAWARE STATE UNIVERSITY · PI HARRINGTON, MELISSA A · 2012 to 2022
$22.7M
National Institute of Health General Medical Sciences (NIGMS) grant 5P20GM103653NIGMS NIH HHS P20 GM103446NIGMS NIH HHS P20 GM103653
6 · The paper itself

Abstract

The brain is composed of a complex web of networks but we have yet to map the structural connections of the human brain in detail. Diffusion MR imaging is a high-throughput method that relies on the principle of diffusion to reconstruct tracts (ie, pathways) across the brain. Although diffusion MR tractography is an exciting method to explore the structural connectivity of the brain in development and across species, the tractography has at times led to questionable interpretations. There are at present few if any alternative methods to trace structural pathways in the human brain. Given these limitations and the potential of diffusion MR imaging to map the human connectome, it is imperative that we develop new approaches to validate neuroimaging techniques. I discuss our recent studies integrating neuroimaging with transcriptional and anatomical variation across humans and other species over the course of development and in adulthood. Developing a novel framework to harness the potential of diffusion MR tractography provides new and exciting opportunities to study the evolution of developmental mechanisms generating variation in connections and bridge the gap between model systems to humans.

Indexed as

ConnectomeDiffusion Tensor ImagingBrainHumansNeural Pathwayscortexdevelopmentdiffusion MR imaginghuman

Identifiers

PMID32562584
PMCPMC7883845

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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.