Evidence map›Paper›PMID 31796741›Full record

ArticleNature communications2019

Multimodal image registration and connectivity analysis for integration of connectomic data from microscopy to MRI.

Maged Goubran, Christoph Leuze, Brian Hsueh, Markus Aswendt, Li Ye, Qiyuan Tian, Michelle Y Cheng, Ailey Crow, Gary K Steinberg, Jennifer A McNab and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

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

  1. Pooled it
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  6. Quality Assurance Strategies for Brain State Characterization by MEMRI.bioRxiv : the preprint server for biology · 2026
    Article
  7. Top-down regulation of ingestive behavior fragmentation.bioRxiv : the preprint server for biology · 2026
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10 more citing papers are in PubMed but not listed here.

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

12 authors.

Maged GoubranDepartment of Radiology, Stanford University, Stanford, CA, 94035, USA. maged.goubran@sri.utoronto.ca.
Christoph LeuzeDepartment of Radiology, Stanford University, Stanford, CA, 94035, USA.
Brian HsuehDepartment of Bioengineering, Stanford University, Stanford, CA, 94035, USA.
Markus AswendtDepartment of Neurosurgery and Stanford Stroke Center, Stanford University, Stanford, CA, 94035, USA.
Li YeDepartment of Bioengineering, Stanford University, Stanford, CA, 94035, USA.
Qiyuan TianDepartment of Radiology, Stanford University, Stanford, CA, 94035, USA.ORCID http://orcid.org/0000-0002-8350-5295
Michelle Y ChengDepartment of Neurosurgery and Stanford Stroke Center, Stanford University, Stanford, CA, 94035, USA.
Ailey CrowCNC Program, Stanford University, Stanford, CA, 94035, USA.
Gary K SteinbergDepartment of Neurosurgery and Stanford Stroke Center, Stanford University, Stanford, CA, 94035, USA.
Jennifer A McNabDepartment of Radiology, Stanford University, Stanford, CA, 94035, USA.ORCID http://orcid.org/0000-0002-1763-0792
Karl DeisserothDepartment of Bioengineering, Stanford University, Stanford, CA, 94035, USA.
Michael ZeinehDepartment of Radiology, Stanford University, Stanford, CA, 94035, USA. mzeineh@stanford.edu.ORCID http://orcid.org/0000-0002-6940-9096

Funding

Structural and molecular identification of circuitry underlying joint processing of motivation and aversionR37DA035377 · NIDA · STANFORD UNIVERSITY · PI DEISSEROTH, KARL A. · 2013 to 2022
$6.2M
Optogenetic Approaches to Study Post-Stroke Recovery MechanismsR01NS093057 · NINDS · STANFORD UNIVERSITY · PI STEINBERG, GARY K · 2015 to 2025
$5.8M
Integration of Diffusion MRI Fiber Tracking and CLARITY 3D Histology for Improved Neurosurgical TargetingR01NS095985 · NINDS · STANFORD UNIVERSITY · PI Jennifer A McNab · 2016 to 2026
$3.8M
Iron as an Imaging Biomarker for Inflammation in ADR01AG061120 · NIA · STANFORD UNIVERSITY · PI ZEINEH, MICHAEL M · 2019 to 2023
$3.5M
Brain-wide functional mapping of circuits controlling hedonic feeding in obesityK01DK114165 · NIDDK · STANFORD UNIVERSITY · PI YE, LI · 2017 to 2021
$825k
NIA NIH HHS R01 AG061120NIDA NIH HHS R37 DA035377NIDDK NIH HHS K01 DK114165NINDS NIH HHS R01 NS093057NINDS NIH HHS R01 NS095985
6 · The paper itself

Abstract

3D histology, slice-based connectivity atlases, and diffusion MRI are common techniques to map brain wiring. While there are many modality-specific tools to process these data, there is a lack of integration across modalities. We develop an automated resource that combines histologically cleared volumes with connectivity atlases and MRI, enabling the analysis of histological features across multiple fiber tracts and networks, and their correlation with in-vivo biomarkers. We apply our pipeline in a murine stroke model, demonstrating not only strong correspondence between MRI abnormalities and CLARITY-tissue staining, but also uncovering acute cellular effects in areas connected to the ischemic core. We provide improved maps of connectivity by quantifying projection terminals from CLARITY viral injections, and integrate diffusion MRI with CLARITY viral tracing to compare connectivity maps across scales. Finally, we demonstrate tract-level histological changes of stroke through this multimodal integration. This resource can propel investigations of network alterations underlying neurological disorders.

Indexed as

ConnectomeImage Processing, Computer-AssistedMagnetic Resonance ImagingMicroscopyAnimalsAutomationAxonsDisease Models, AnimalInfarction, Middle Cerebral ArteryMice, Inbred C57BLReproducibility of ResultsSoftwareStroke

Identifiers

PMID31796741
PMCPMC6890789

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.