Evidence map›Paper›PMID 38077010›Full record

ArticlebioRxiv : the preprint server for biology2023

Framewise multi-echo distortion correction for superior functional MRI.

Andrew N Van, David F Montez, Timothy O Laumann, Vahdeta Suljic, Thomas Madison, Noah J Baden, Nadeshka Ramirez-Perez, Kristen M Scheidter, Julia S Monk, Forrest I Whiting and 22 more

Registry-linked trialAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07024875 (Precision Neuroimaging of Parkinson's Disease), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

NCT07024875 recruitingnot on this mapstarted 2025, after this paper: background citation

Precision Neuroimaging of Parkinson's Disease

Typeobservational_patient_registrySponsorWashington University School of MedicineRan2025 to 2031Enrolled120ConditionsParkinsons Disease (PD)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors.

Andrew N VanDepartment of Biomedical Engineering, Washington University in St. Louis, MO 63130.ORCID 0000-0002-8787-0943
David F MontezDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Timothy O LaumannDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110.
Vahdeta SuljicDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Thomas MadisonInstitute of Child Development, University of Minnesota Medical School, Minneapolis, MN 55455.
Noah J BadenDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Nadeshka Ramirez-PerezDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Kristen M ScheidterDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Julia S MonkDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Forrest I WhitingDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Babatunde AdeyemoDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Roselyne J ChauvinDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.ORCID 0000-0001-5786-4705
Samuel R KrimmelDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Athanasia MetokiDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Aishwarya RajeshDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110.
Jarod L RolandDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, MO 63110.
Taylor SaloLifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104.
Anxu WangDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Kimberly B WeldonMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN 55455.
Aristeidis SotirasDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110.
Joshua S ShimonyDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110.
Benjamin P KayDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Steven M NelsonMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN 55455.
Brenden Tervo-ClemmensMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN 55455.
Scott A MarekDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110.ORCID 0000-0003-0032-9052
Luca VizioliCenter for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN 55455.
Essa YacoubCenter for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN 55455.
Theodore D SatterthwaiteLifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104.ORCID 0000-0001-7072-9399
Evan M GordonDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110.
Damien A FairInstitute of Child Development, University of Minnesota Medical School, Minneapolis, MN 55455.
M Dylan TisdallDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-0454-3112
Nico U F DosenbachDepartment of Biomedical Engineering, Washington University in St. Louis, MO 63130.

Funding

Child Neurologist Career Development Program (CNCDP)K12NS098482 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI SCHLAGGAR, BRADLEY L · 2016 to 2025
$26.2M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASDR01MH096773 · NIMH · UNIVERSITY OF MINNESOTA · PI DOSENBACH, NICO, FAIR, DAMIEN A · 2012 to 2024
$9.4M
BIOMEDICAL RESEARCH TRAINING IN DRUG ABUSET32DA007261 · NIDA · WASHINGTON UNIVERSITY · PI ARPANA AGRAWAL, Jose A Moron-Concepcion · 1991 to 2026
$8.8M
Motion-robust brain MRI for infantsR44MH124567 · NIMH · TURING MEDICAL TECHNOLOGIES INC · PI BERTOLERO, MAXWELL, FAIR, DAMIEN A · 2020 to 2023
$7.3M
Visual biofeedback to reduce head motion during MRI scansR44MH122066 · NIMH · TURING MEDICAL TECHNOLOGIES INC · PI BRUENER, KEN, FAIR, DAMIEN A · 2019 to 2022
$6.2M
Solving the MRI motion problem with Framewise Integrated Real-Time MRI Monitoring (FIRMM) softwareR44MH121276 · NIMH · TURING MEDICAL TECHNOLOGIES INC · PI FAIR, DAMIEN A, ROTHNEY, MEGAN PEARL · 2020 to 2023
$5.4M
Developmental Neuroscience and Child PsychopathologyT32MH100019 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, JOAN L. LUBY · 2013 to 2026
$4.8M
Brain trajectories in ADHDR01MH115357 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI FAIR, DAMIEN A, NIGG, JOEL T · 2017 to 2021
$3.8M
Behavioral feedback and rewards for improving functional brain mapping in presurgical pediatric patientsR44NS129521 · NINDS · TURING MEDICAL TECHNOLOGIES INC · PI FAIR, DAMIEN A, KING, KEVIN · 2022 to 2025
$3.7M
HIGH PERFORMANCE BIOMEDICAL IMAGING COMPUTER RESOURCESS10RR022984 · NCRR · WASHINGTON UNIVERSITY · PI PRIOR, FRED WILLIAM · 2009 to 2009
$1.9M
Concussion and Attention-Deficit/Hyperactivity Disorder: Investigating the relationship between cognitive outcome, prescription stimulants, and functional MRI biomarkers in the ABCD study.K23NS123345 · NINDS · WASHINGTON UNIVERSITY · PI Benjamin Paul Kay · 2022 to 2026
$948k
NCRR NIH HHS S10 RR022984NIDA NIH HHS T32 DA007261NIDA NIH HHS U01 DA041148NIH HHS S10 OD018091NIH HHS S10 OD025200NIMH NIH HHS K99 MH121518NIMH NIH HHS K99 MH129616NIMH NIH HHS R00 MH121518NIMH NIH HHS R00 MH129616NIMH NIH HHS R01 MH096773NIMH NIH HHS R01 MH115357NIMH NIH HHS R44 MH121276NIMH NIH HHS R44 MH122066NIMH NIH HHS R44 MH124567NIMH NIH HHS T32 MH100019NINDS NIH HHS K12 NS098482NINDS NIH HHS K23 NS088590NINDS NIH HHS K23 NS123345NINDS NIH HHS R44 NS129521
6 · The paper itself

Abstract

Functional MRI (fMRI) data are severely distorted by magnetic field (B0) inhomogeneities which currently must be corrected using separately acquired field map data. However, changes in the head position of a scanning participant across fMRI frames can cause changes in the B0 field, preventing accurate correction of geometric distortions. Additionally, field maps can be corrupted by movement during their acquisition, preventing distortion correction altogether. In this study, we use phase information from multi-echo (ME) fMRI data to dynamically sample distortion due to fluctuating B0 field inhomogeneity across frames by acquiring multiple echoes during a single EPI readout. Our distortion correction approach, MEDIC (Multi-Echo DIstortion Correction), accurately estimates B0 related distortions for each frame of multi-echo fMRI data. Here, we demonstrate that MEDIC's framewise distortion correction produces improved alignment to anatomy and decreases the impact of head motion on resting-state functional connectivity (RSFC) maps, in higher motion data, when compared to the prior gold standard approach (i.e., TOPUP). Enhanced framewise distortion correction with MEDIC, without the requirement for field map collection, furthers the advantage of multi-echo over single-echo fMRI.

Indexed as

Distortion CorrectionfMRIMulti-Echo

Identifiers

PMID38077010
PMCPMC10705259

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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 Socratic graph.