Evidence map›Paper›PMID 32151760›Full record

ArticleNeuroImage2020

Insight into the fundamental trade-offs of diffusion MRI from polarization-sensitive optical coherence tomography in ex vivo human brain.

Robert Jones, Giorgia Grisot, Jean Augustinack, Caroline Magnain, David A Boas, Bruce Fischl, Hui Wang, Anastasia Yendiki

Abstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. The modular nature of long-association pathways in the human brain.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Imaging of developing human brains with ex vivo PSOCT and dMRI.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  14. Article
  15. Article
  16. Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Robert JonesAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Charlestown, MA, USA.
Giorgia GrisotDeepHealth, Inc., Belmont, MA, USA.
Jean AugustinackAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Charlestown, MA, USA.
Caroline MagnainAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Charlestown, MA, USA.
David A BoasNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Bruce FischlAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Charlestown, MA, USA.
Hui WangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Charlestown, MA, USA.
Anastasia YendikiAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Charlestown, MA, USA. Electronic address: ayendiki@mgh.harvard.edu.

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Imaging and Analysis Techniques to Construct a Cell Census Atlas of the Human Brain Admin SupplementU01MH117023 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A, FISCHL, BRUCE · 2018 to 2022
$7.6M
Algorithms for MR and OCT-based Architectonic and Laminar SegmentationR01EB019956 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2015 to 2018
$2.4M
Building a pathology-validated neuroimaging tool for Alzheimer's DiseaseR01AG057672 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2018 to 2022
$2.4M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
Multimodal mapping of the neurocircuitry of the human prefrontal cortexR01EB021265 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI YENDIKI, ANASTASIA · 2016 to 2019
$2.0M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Volumetric optical connectome microscopy of human cerebellar circuitryR00EB023993 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WANG, HUI · 2020 to 2022
$747k
Upgrade for Biospec Console and accessories for the 9.4T/20cm MagnetS10RR025563 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI DAI, GUANGPING · 2009 to 2009
$498k
Computeserver Structural &Functional Image AnalysisS10RR019307 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2004 to 2004
$496k
Volumetric optical connectome microscopy of human cerebellar circuitryK99EB023993 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WANG, HUI · 2018 to 2019
$190k
NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NCRR NIH HHS S10 RR025563NIA NIH HHS R01 AG057672NIBIB NIH HHS K99 EB023993NIBIB NIH HHS P41 EB015896NIBIB NIH HHS R00 EB023993NIBIB NIH HHS R01 EB019956NIBIB NIH HHS R01 EB021265NIMH NIH HHS U01 MH117023
6 · The paper itself

Abstract

In the first study comparing high angular resolution diffusion MRI (dMRI) in the human brain to axonal orientation measurements from polarization-sensitive optical coherence tomography (PSOCT), we compare the accuracy of orientation estimates from various dMRI sampling schemes and reconstruction methods. We find that, if the reconstruction approach is chosen carefully, single-shell dMRI data can yield the same accuracy as multi-shell data, and only moderately lower accuracy than a full Cartesian-grid sampling scheme. Our results suggest that current dMRI reconstruction approaches do not benefit substantially from ultra-high b-values or from very large numbers of diffusion-encoding directions. We also show that accuracy remains stable across dMRI voxel sizes of 1 ​mm or smaller but degrades at 2 ​mm, particularly in areas of complex white-matter architecture. We also show that, as the spatial resolution is reduced, axonal configurations in a dMRI voxel can no longer be modeled as a small set of distinct axon populations, violating an assumption that is sometimes made by dMRI reconstruction techniques. Our findings have implications for in vivo studies and illustrate the value of PSOCT as a source of ground-truth measurements of white-matter organization that does not suffer from the distortions typical of histological techniques.

Indexed as

AlgorithmsAdultAgedBrainDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleNeuroimagingTomography, Optical Coherence

Identifiers

PMID32151760
PMCPMC8488979

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.