Evidence map›Paper›PMID 40079433›Full record

ArticleMagnetic resonance in medicine2025

T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data.

Chung Kan, Rüdiger Stirnberg, Marcela Montequin, Omer Faruk Gulban, A Tyler Morgan, Peter A Bandettini, Laurentius Huber

Abstract read
In one paragraph

Article 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Chung KanNIH, Bethesda, USA.
Rüdiger StirnbergGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID 0000-0001-7021-1063
Marcela MontequinNIH, Bethesda, USA.
Omer Faruk GulbanCN, FPN, University of Maastricht, The Netherlands.ORCID 0000-0001-7761-3727
A Tyler MorganNIH, Bethesda, USA.ORCID 0000-0001-6017-2179
Peter A BandettiniNIH, Bethesda, USA.ORCID 0000-0001-9038-4746
Laurentius HuberNIH, Bethesda, USA.ORCID 0000-0002-3291-2202

Funding

Intramural NIH HHS Z99 MH999999NIH HHS NIHMS2059796
6 · The paper itself

Abstract

purposeRegistration of functional and structural data poses a challenge for high-resolution fMRI studies at 7 T. This study aims to develop a rapid acquisition method that provides distortion-matched, artifact-mitigated structural reference data.

methodsWe introduce an efficient sequence protocol termed T1234, which offers adjustable distortions. This includes data that match distortions of functional data and data that are free of distortions. This approach involves a T

resultsResults from two protocols are presented. A fast distortion-free protocol reliably produced whole-brain segmentations at 0.8 mm isotropic resolution within 3:00-3:40 min. It demonstrates robustness across sessions, participants, and three different 7 T SIEMENS scanners. For a protocol with geometric distortions that matched functional data, T1234 facilitates layer-specific fMRI signal analysis with enhanced laminar precision.

conclusionThis structural mapping approach enables precise registration with fMRI data. T1234 has been successfully implemented, validated, and tested, and is now available to users at our center and at over 50 centers worldwide.

Indexed as

BrainBrain MappingImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultAlgorithmsArtifactsEcho-Planar ImagingFemaleHumansImaging, Three-DimensionalMaleReproducibility of ResultsYoung Adult7 T acquisitiondistortionlayer‐fMRIT1 mapping

Identifiers

PMID40079433
PMCPMC12137766

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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.