Evidence map›Paper›PMID 36848973›Full record

ArticleNeuroImage2023

Temporal trajectories of normal myelination and axonal development assessed by quantitative macromolecular and diffusion MRI: Ultrastructural and immunochemical validation in a rabbit model.

Alexander Drobyshevsky, Sylvia Synowiec, Ivan Goussakov, Jing Lu, David Gascoigne, Daniil P Aksenov, Vasily Yarnykh

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Alexander DrobyshevskyDepartment of Pediatrics, NorthShore University HealthSystem Research Institute, Evanston, IL, USA. Electronic address: adrobyshevsky@northshore.org.
Sylvia SynowiecDepartment of Pediatrics, NorthShore University HealthSystem Research Institute, Evanston, IL, USA.
Ivan GoussakovDepartment of Pediatrics, NorthShore University HealthSystem Research Institute, Evanston, IL, USA.
Jing LuDepartment of Pediatrics, University of Chicago, Chicago, IL, USA.
David GascoigneCenter for Basic MR Research, NorthShore University HealthSystem Research Institute, Evanston, IL, USA.
Daniil P AksenovCenter for Basic MR Research, NorthShore University HealthSystem Research Institute, Evanston, IL, USA.
Vasily YarnykhDepartment of Radiology, University of Washington, Seattle, WA, USA.
NorthShore University HealthSystem · USUniversity of Chicago · USUniversity of Washington · US

Funding

Developmental disruption of brain tissue oxygen regulation and deficiency of learning after neonatal anesthesia exposureR01GM112715 · NIGMS · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI AKSENOV, DANIIL · 2016 to 2024
$3.0M
Role of interneurons in resting state fMRI connectivity during normal development and after perinatal brain injuryR01NS119251 · NINDS · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI DROBYSHEVSKY, ALEXANDER · 2021 to 2024
$1.8M
Spinal serotonin in cerebral palsyR01NS091278 · NINDS · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI DROBYSHEVSKY, ALEXANDER · 2015 to 2019
$1.7M
Quantitative myelin mapping in vivo for clinical and pre-clinical MRIR24NS104098 · NINDS · UNIVERSITY OF WASHINGTON · PI YARNYKH, VASILY L. · 2018 to 2021
$1.1M
Role of interneurons in resting state fMRI connectivity during normal development and after perinatal brain injuryR56NS119251 · NINDS · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI DROBYSHEVSKY, ALEXANDER · 2020 to 2020
$533k
Preclinical MRI of demyelination and remyelination in stroke at clinical field strengthR21NS109727 · NINDS · UNIVERSITY OF WASHINGTON · PI YARNYKH, VASILY L. · 2019 to 2019
$485k
Role of gut microbiota in susceptibility of preterm infants to hypoxic brain injuryR21NS109838 · NINDS · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI DROBYSHEVSKY, ALEXANDER · 2020 to 2020
$435k
NIGMS NIH HHS R01 GM112715NINDS NIH HHS R01 NS091278NINDS NIH HHS R01 NS119251NINDS NIH HHS R21 NS109727NINDS NIH HHS R21 NS109838NINDS NIH HHS R24 NS104098NINDS NIH HHS R56 NS119251
6 · The paper itself

Abstract

introductionQuantitative and non-invasive measures of brain myelination and maturation during development are of great importance to both clinical and translational research communities. While the metrics derived from diffusion tensor imaging, are sensitive to developmental changes and some pathologies, they remain difficult to relate to the actual microstructure of the brain tissue. The advent of advanced model-based microstructural metrics requires histological validation. The purpose of the study was to validate novel, model-based MRI techniques, such as macromolecular proton fraction mapping (MPF) and neurite orientation and dispersion indexing (NODDI), against histologically derived indexes of myelination and microstructural maturation at various stages of development.

methodsNew Zealand White rabbit kits underwent serial in-vivo MRI examination at postnatal days 1, 5, 11, 18, and 25, and as adults. Multi-shell, diffusion-weighted experiments were processed to fit NODDI model to obtain estimates, intracellular volume fraction (ICVF) and orientation dispersion index (ODI). Macromolecular proton fraction (MPF) maps were obtained from three source (MT-, PD-, and T1-weighted) images. After MRI sessions, a subset of animals was euthanized and regional samples of gray and white matter were taken for western blot analysis, to determine myelin basic protein (MBP), and electron microscopy, to estimate axonal, myelin fractions and g-ratio.

resultsMPF of white matter regions showed a period of fast growth between P5 and P11 in the internal capsule, with a later onset in the corpus callosum. This MPF trajectory was in agreement with levels of myelination in the corresponding brain region, as assessed by western blot and electron microscopy. In the cortex, the greatest increase of MPF occurred between P18 and P26. In contrast, myelin, according to MBP western blot, saw the largest hike between P5 and P11 in the sensorimotor cortex and between P11 and P18 in the frontal cortex, which then seemingly plateaued after P11 and P18 respectively. G-ratio by MRI markers decreased with age in the white matter. However, electron microscopy suggest a relatively stable g-ratio throughout development.

conclusionDevelopmental trajectories of MPF accurately reflected regional differences of myelination rate in different cortical regions and white matter tracts. MRI-derived estimation of g-ratio was inaccurate during early development, likely due to the overestimation of axonal volume fraction by NODDI due to the presence of a large proportion of unmyelinated axons.

Indexed as

Diffusion Tensor ImagingWhite MatterAnimalsBrainDiffusion Magnetic Resonance ImagingMagnetic Resonance ImagingNeuritesProtonsRabbitsProtonsBrain developmentG-ratioMacromolecular proton fractionMyelinTissue microstructure

Identifiers

PMID36848973
PMCPMC10103444
OpenAlexW4322154918

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.