Evidence map›Paper›PMID 41612124›Full record

ArticleMagnetic resonance in medicine2026

Next Generation 7 Tesla Arterial Spin Labeling With Rotated Spiral Acquisition Enables Mesoscale Resolution in 3D Brain Perfusion and Functional MRI.

Chenyang Zhao, Fanhua Guo, Zidong Yang, Xingfeng Shao, Samantha J Ma, Alexander J S Beckett, An T Vu, David A Feinberg, Danny J J Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Chenyang ZhaoLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-9841-6332
Fanhua GuoLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Zidong YangLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Xingfeng ShaoLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-4130-6204
Samantha J MaSiemens Medical Solutions USA, Los Angeles, California, USA.
Alexander J S BeckettHelen Wills Neuroscience Institute, University of California, Berkeley, California, USA.
An T VuRadiology and Biomedical Imaging, University of California, San Francisco, California, USA.
David A FeinbergHelen Wills Neuroscience Institute, University of California, Berkeley, California, USA.
Danny J J WangLaboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-0840-7062

Funding

NexGen 7T MRI scanner for mesoscale brain imaging: Integration and DisseminationU24NS129949 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Alexander Beckett, David Alan Feinberg · 2023 to 2026
$5.3M
Imaging Cerebral Small Vessels in Vascular Cognitive Impairment and Dementia (VCID)RF1AG084072 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JIANG, XUEJUAN, SHI, YONGGANG · 2023 to 2023
$2.5M
NIH HHS R01-EB028297NIH HHS R01-EB032169NIH HHS R01-NS114382NIH HHS R01-NS121040NIH HHS R01-NS134712NIH HHS RF1AG084072NIH HHS S10-OD025312NIH HHS U01-EB025162NIH HHS U24-NS129949NIH HHS UF1-NS100614NINDS NIH HHS U24 NS129949
6 · The paper itself

Abstract

purposeTo achieve high resolution (≤ 1 mm isotropic) whole-brain perfusion imaging at 7 T with next generation ASL pulse sequence, reconstruction algorithm, and MRI hardware.

methodsWe capitalized on three major innovations: (1) FLASH-based pseudo-Continuous ASL (pCASL) sequence with rotated golden-angle stack-of-spirals (rGA-SoS) sampling; (2) dynamic compressed sensing (CS) reconstruction with high spatiotemporal resolution and motion-resolved self-navigation; and (3) high density array coil and high-performance Impulse gradient of the NexGen 7 T scanner. Whole-brain laminar perfusion imaging was validated by correlation with histological data of microvascular and cell body density, as well as through finger-tapping (FT) and working memory (WM) fMRI tasks.

resultsThe proposed rGA-SoS sequence achieved a 3.3-fold SNR and 2-fold higher intraclass correlation coefficient (ICC) compared to matched Cartesian sampling at 7 T, enabling up to 0.8 mm isotropic spatial resolution and/or a temporal resolution of 14 s at 1 mm isotropic. Resting-state perfusion showed strong correlations with microvascular and cell body density. Laminar perfusion fMRI revealed a two-peak activation in the primary motor cortex induced by FT, and distinct laminar profiles for task-positive and task-negative networks during WM task.

conclusionThis method offers a noninvasive imaging tool to bridge the gap between mesoscopic MRI with microscopic cellular imaging, as well as to investigate neural excitation and inhibition underlying positive and negative fMRI activations.

Indexed as

Brain MappingImaging, Three-DimensionalAdultBrainFemaleHumansImage Processing, Computer-AssistedMaleSignal-To-Noise RatioSpin LabelsSpin Labelsarterial spin labeling (ASL)BigBrain atlaslayer fMRImicroscopic imagingNexGen 7 Tultrahigh‐field MRIworking memory

Identifiers

PMID41612124
PMCPMC12962204

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.