Evidence map›Paper›PMID 36972574›Full record

ReviewBrain, behavior and evolution2023

Mapping Human Brain Pathways: Challenges and Opportunities in the Integration of Scales.

Christine J Charvet

Open access · bronzeAbstract readReview
In one paragraph

Review in Brain, behavior and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. From Circuits to Lifespan: Translating Mouse and Human Timelines with Neuroimaging-Based Tractography.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
  5. Review
  6. Review
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 at 1 institution in 1 country.

Christine J CharvetDepartment of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama, USA.
Auburn University · US

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
New tools to translate time across the lifespan in humans and model organismsR21HD101964 · NICHD · DELAWARE STATE UNIVERSITY · PI CHARVET, CHRISTINE J, TAKAHASHI (OKI), EMI · 2021 to 2022
$446k
NICHD NIH HHS R21 HD101964NIGMS NIH HHS P20 GM103446NIGMS NIH HHS P20 GM103653NIMH NIH HHS HHSN271200800047C
6 · The paper itself

Abstract

The human brain is composed of a complex web of pathways. Diffusion magnetic resonance (MR) tractography is a neuroimaging technique that relies on the principle of diffusion to reconstruct brain pathways. Its tractography is broadly applicable to a range of problems as it is amenable for study in individuals of any age and from any species. However, it is well known that this technique can generate biologically implausible pathways, especially in regions of the brain where multiple fibers cross. This review highlights potential misconnections in two cortico-cortical association pathways with a focus on the aslant tract and inferior frontal occipital fasciculus. The lack of alternative methods to validate observations from diffusion MR tractography means there is a need to develop new integrative approaches to trace human brain pathways. This review discusses integrative approaches in neuroimaging, anatomical, and transcriptional variation as having much potential to trace the evolution of human brain pathways.

Indexed as

BrainNeuroimagingAnimalsBrain MappingHumansNeural PathwaysAssociationCortical associationDiffusion magnetic resonance imagingPathwaysTractography

Identifiers

PMID36972574
PMCPMC11310840
OpenAlexW4360992454

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.