Evidence map›Paper›PMID 32513555›Full record

ReviewBiological psychiatry. Cognitive neuroscience and neuroimaging2020

Estimating Brain Connectivity With Diffusion-Weighted Magnetic Resonance Imaging: Promise and Peril.

Mark D Grier, Jan Zimmermann, Sarah R Heilbronner

Abstract readReview
In one paragraph

Review in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Closing the loop in psychiatric deep brain stimulation: physiology, psychometrics, and plasticity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  11. Review
  12. Article
  13. Review
  14. PET imaging of animal models with depressive-like phenotypes.European journal of nuclear medicine and molecular imaging · 2023
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Mark D GrierDepartment of Neuroscience, University of Minnesota, Minneapolis, Minnesota.
Jan ZimmermannDepartment of Neuroscience, University of Minnesota, Minneapolis, Minnesota; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota.
Sarah R HeilbronnerDepartment of Neuroscience, University of Minnesota, Minneapolis, Minnesota. Electronic address: heilb028@umn.edu.

Funding

NEUROSCIENCE TRAINING IN DRUG ABUSE RESEARCHT32DA007234 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Paul G Mermelstein, Jocelyn M Richard · 1986 to 2026
$10.9M
Revealing functional networks and circuits of the posteromedial cortex withanatomical connectivityR01MH118257 · NIMH · UNIVERSITY OF MINNESOTA · PI HEILBRONNER, SARAH RACHEL · 2019 to 2023
$1.9M
NIDA NIH HHS T32 DA007234NIMH NIH HHS R01 MH118257
6 · The paper itself

Abstract

Diffusion-weighted magnetic resonance imaging (dMRI) is a popular tool for noninvasively assessing properties of white matter in the brain. Among other uses, dMRI data can be used to produce estimates of anatomical connectivity on the basis of tractography. However, direct comparisons of anatomical connectivity as estimated through invasive neural tract-tracing experiments and dMRI-derived connectivity have shown only a moderate relationship in nonhuman primate (particularly macaque) studies. Tractography is plagued by known problems associated with resolution, crossing fibers, and curving fibers, among others. These problems lead to deficits in both sensitivity and specificity, which trade off with each other in multiple datasets. Although not yet examined quantitatively, there is reason to believe that some large white matter bundles, those with more topographic organization, may produce more accurate results than others. Moving forward, sophisticated analytical approaches and anatomical constraints may improve tractography accuracy. However, broadly speaking, dMRI-derived estimates of brain connectivity should be approached with caution.

Indexed as

BrainDiffusion Tensor ImagingWhite MatterDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance SpectroscopyAnatomyConnectivityDiffusionImagingTractographyValidation

Identifiers

PMID32513555
PMCPMC7483308

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.