Evidence map›Paper›PMID 34909442›Full record

ArticleBio-protocol2021

Macroscopic Structural and Connectome Mapping of the Mouse Brain Using Diffusion Magnetic Resonance Imaging.

Tanzil Mahmud Arefin, Choong Heon Lee, Jordon D White, Jiangyang Zhang, Arie Kaffman

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 22 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

5 authors at 1 institution in 1 country.

Tanzil Mahmud ArefinBernard Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, USA.
Choong Heon LeeBernard Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, USA.
Jordon D WhiteDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Jiangyang ZhangBernard Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, USA.
Arie KaffmanDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Yale University · US

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
Imaging Neonatal Hypoxic Ischemic InjuryR01HD074593 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FRANCES J NORTHINGTON, JIANGYANG ZHANG · 2013 to 2026
$6.8M
Quantitative Imaging of Mouse Brain DevelopmentR01NS102904 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ZHANG, JIANGYANG · 2018 to 2022
$3.1M
Amygdala hyper-connectivity in a mouse model of unpredictable early life stressR01MH118332 · NIMH · YALE UNIVERSITY · PI KAFFMAN, ARIE · 2019 to 2023
$3.0M
Role of microglial IRF8 in the developmental consequences of early adversityR01MH119164 · NIMH · YALE UNIVERSITY · PI KAFFMAN, ARIE · 2020 to 2024
$2.1M
NIBIB NIH HHS P41 EB017183NICHD NIH HHS R01 HD074593NIMH NIH HHS R01 MH118332NIMH NIH HHS R01 MH119164NINDS NIH HHS R01 NS102904
6 · The paper itself

Abstract

Translational work in rodents elucidates basic mechanisms that drive complex behaviors relevant to psychiatric and neurological conditions. Nonetheless, numerous promising studies in rodents later fail in clinical trials, highlighting the need for improving the translational utility of preclinical studies in rodents. Imaging of small rodents provides an important strategy to address this challenge, as it enables a whole-brain unbiased search for structural and dynamic changes that can be directly compared to human imaging. The functional significance of structural changes identified using imaging can then be further investigated using molecular and genetic tools available for the mouse. Here, we describe a pipeline for unbiased search and characterization of structural changes and network properties, based on diffusion MRI data covering the entire mouse brain at an isotropic resolution of 100 µm. We first used unbiased whole-brain voxel-based analyses to identify volumetric and microstructural alterations in the brain of adult mice exposed to unpredictable postnatal stress (UPS), which is a mouse model of complex early life stress (ELS). Brain regions showing structural abnormalities were used as nodes to generate a grid for assessing structural connectivity and network properties based on graph theory. The technique described here can be broadly applied to understand brain connectivity in other mouse models of human disorders, as well as in genetically modified mouse strains. Graphic abstract:

Indexed as

Brain network propertiesDiffusion MRIFiber tractographyMouse brain.Structural connectivity

Identifiers

PMID34909442
PMCPMC8635841
OpenAlexW3216685854

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.