Evidence map›Paper›PMID 40008568›Full record

ReviewMagnetic resonance in medicine2025

Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging.

Ileana O Jelescu, Francesco Grussu, Andrada Ianus, Brian Hansen, Rachel L C Barrett, Manisha Aggarwal, Stijn Michielse, Fatima Nasrallah, Warda Syeda, Nian Wang and 47 more

Abstract readReview
In one paragraph

Review in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

57 authors.

Ileana O JelescuDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-3664-0195
Francesco GrussuRadiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.
Andrada IanusChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
Brian HansenCenter of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark.
Rachel L C BarrettDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Manisha AggarwalRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Stijn MichielseDepartment of Neurosurgery, School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Center, Maastricht, The Netherlands.
Fatima NasrallahThe Queensland Brain Institute, The University of Queensland, St Lucia, Queensland, Australia.
Warda SyedaMelbourne Neuropsychiatry Centre, The University of Melbourne, Parkville, Victoria, Australia.
Nian WangDepartment of Radiology and Imaging Sciences, Indiana University, Bloomington, Indiana, USA.
Jelle VeraartCenter for Biomedical Imaging, NYU Grossman School of Medicine, New York, New York, USA.
Alard RoebroeckFaculty of psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Andrew F BagdasarianDepartment of Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, Florida, USA.
Cornelius EichnerDepartment of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Farshid SepehrbandUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, California, Los Angeles, USA.
Jan ZimmermannDepartment of Neuroscience, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Lucas SoustelleAix Marseille Univ, CNRS, CRMBM, Marseille, France.
Christien BowmanBio-Imaging Lab, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Antwerp, Belgium.
Benjamin C TendlerWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Andreea HertanuDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Ben Jeurissenimec Vision Lab, Department of Physics, University of Antwerp, Antwerpen, Belgium.
Marleen VerhoyeBio-Imaging Lab, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Antwerp, Belgium.
Lucio FrydmanDepartment of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel.
Yohan van de LooijDivision of Child Development and Growth, Department of Pediatrics, Gynaecology and Obstetrics, School of Medicine, Université de Genève, Genève, Switzerland.
David HikeDepartment of Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, Florida, USA.
Jeff F DunnDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Karla MillerFMRIB Centre, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Bennett A LandmanDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.
Noam ShemeshChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
Adam AndersonVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.
Emilie McKinnonMedical University of South Carolina, Charleston, South Carolina, USA.
Shawna FarquharsonNational Imaging Facility, The University of Queensland, Brisbane, Queensland, Australia.
Flavio Dell'AcquaDepartment of Forensic and Neurodevelopmental Sciences, King's College London, London, UK.
Carlo PierpaoliLaboratory on Quantitative Medical imaging, NIBIB, National Institutes of Health, Bethesda, Maryland, USA.
Ivana DrobnjakDepartment of Computer Science, University College London, London, UK.
Alexander LeemansPROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
Kevin D HarkinsVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.
Maxime DescoteauxSherbrooke Connectivity Imaing Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
Duan XuDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Hao HuangDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Mathieu D SantinCentre for NeuroImaging Research (CENIR), Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France.
Samuel C GrantDepartment of Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, Florida, USA.
Andre ObenausDivision of Biomedical Sciences, University of California Riverside, Riverside, California, USA.
Gene S KimDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Dan WuKey Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Denis Le BihanCEA, DRF, JOLIOT, NeuroSpin, Gif-sur-Yvette, France.
Stephen J BlackbandDepartment of Neuroscience, University of Florida, Gainesville, Florida, USA.
Luisa CiobanuNeuroSpin, UMR CEA/CNRS 9027, Paris-Saclay University, Gif-sur-Yvette, France.
Els FieremansDepartment of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Ruiliang BaiInterdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China.
Trygve B LeergaardDepartment of Molecular Biology, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Jiangyang ZhangDepartment of Radiology, New York University School of Medicine, New York, New York, USA.
Tim B DyrbyDanish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.
G Allan JohnsonDuke Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, North Carolina, USA.
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada.
Matthew D BuddeDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Kurt G SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0003-3686-7645

Funding

UC Irvine MODEL-ADU54AG054349 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Kim Green · 2017 to 2026
$71.9M
Structural & Network-Function Correlates of Fragmented Early-Life Across SpeciesP50MH096889 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMAN, CURT ALAN · 2013 to 2023
$25.4M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
Viral Innovation CoreP30DA048742 · NIDA · UNIVERSITY OF MINNESOTA · PI Paul G Mermelstein · 2020 to 2026
$19.0M
TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Mehmet Akcakaya · 2019 to 2026
$11.7M
DCE MRI Study for Breast Cancer.R01CA160620 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2012 to 2023
$5.4M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Structural Development of Human Fetal BrainR01MH092535 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI HUANG, HAO · 2011 to 2020
$4.6M
Caveolin-1 contributes to the long-term function and structure of the neurovascular unit after juvenile concussionR01NS119605 · NINDS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Jerome Badaut, ANDRE OBENAUS · 2021 to 2026
$2.2M
Characterization of Whole Brain Demyelination and Axon Damage Using High-resolution Magnetic Resonance ImagingR01NS125020 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI Nian Wang · 2022 to 2026
$2.0M
Connectome style neuroimaging in non human primates via novel integrated RF platformsR01EB031765 · NIBIB · UNIVERSITY OF MINNESOTA · PI ZIMMERMANN, JAN · 2022 to 2025
$1.9M
Imaging platform and computational HARDI atlas of the human hippocampusR01AG057991 · NIA · JOHNS HOPKINS UNIVERSITY · PI AGGARWAL, MANISHA · 2018 to 2022
$1.8M
NCI NIH HHS R01 CA160620NIA NIH HHS R01 AG057991NIA NIH HHS U54 AG054349NIBIB NIH HHS K01 EB032898NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41 EB027061NIBIB NIH HHS R01 EB017230NIBIB NIH HHS R01 EB019980NIBIB NIH HHS R01 EB031765NIBIB NIH HHS R01 EB031954NIBIB NIH HHS R56 EB031765NIDA NIH HHS P30 DA048742NIMH NIH HHS P50 MH096889NIMH NIH HHS R01 MH092535NINDS NIH HHS R01 NS109090NINDS NIH HHS R01 NS119605NINDS NIH HHS R01 NS125020
6 · The paper itself

Abstract

Small-animal diffusion MRI (dMRI) has been used for methodological development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. The steps from animal setup and monitoring, to acquisition, analysis, and interpretation are complex, with many decisions that may ultimately affect what questions can be answered using the resultant data. This work aims to present selected considerations and recommendations from the diffusion community on best practices for preclinical dMRI of in vivo animals. We describe the general considerations and foundational knowledge that must be considered when designing experiments. We briefly describe differences in animal species and disease models and discuss why some may be more or less appropriate for different studies. We, then, give recommendations for in vivo acquisition protocols, including decisions on hardware, animal preparation, and imaging sequences, followed by advice for data processing including preprocessing, model-fitting, and tractography. Finally, we provide an online resource that lists publicly available preclinical dMRI datasets and software packages to promote responsible and reproducible research. In each section, we attempt to provide guides and recommendations, but also highlight areas for which no guidelines exist (and why), and where future work should focus. Although we mainly cover the central nervous system (on which most preclinical dMRI studies are focused), we also provide, where possible and applicable, recommendations for other organs of interest. An overarching goal is to enhance the rigor and reproducibility of small animal dMRI acquisitions and analyses, and thereby advance biomedical knowledge.

Indexed as

Diffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedAnimalsBrainMiceReproducibility of ResultsSoftwareacquisitionbest practicesdiffusion MRIdiffusion tensormicrostructureopen sciencepreclinicalprocessingsmall animaltractography

Identifiers

PMID40008568
PMCPMC11971505

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.