Evidence map›Paper›PMID 40275620›Full record

ArticleMagnetic resonance in medicine2025

Higher spatial resolution and sensitivity in whole brain functional MRI at 7T using 3D EPI accelerated with variable density CAIPI sampling and temporal random walk.

Suhyung Park, Alexander Beckett, Suvi Häkkinen, Erica Walker, Samantha J Ma, Sugil Kim, Hahnsung Kim, David A Feinberg

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 1 paper.

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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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Suhyung ParkDepartment of Intelligent Electronics and Computer Engineering, Chonnam National University, Gwangju, Republic of Korea.ORCID 0000-0002-7499-9377
Alexander BeckettHelen Wills Neuroscience Institute, University of California, Berkeley, California, USA.ORCID 0000-0002-7123-9559
Suvi HäkkinenHelen Wills Neuroscience Institute, University of California, Berkeley, California, USA.
Erica WalkerAdvanced MRI Technologies, Sebastopol, California, USA.
Samantha J MaSiemens Medical Solutions, USA, Inc., Berkeley, California, USA.ORCID 0000-0003-3127-455X
Sugil KimSiemens Healthineers Ltd., Seoul, Republic of Korea.
Hahnsung KimEmory National Primate Research Center, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-0799-6985
David A FeinbergHelen Wills Neuroscience Institute, University of California, Berkeley, California, USA.

Funding

MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNERU01EB025162 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2017 to 2021
$13.4M
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
Foundations of MRI Corticography for mesoscale organization and neuronal circuitryR01MH111444 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN · 2016 to 2020
$5.1M
Highly Efficient MRI Pulse Sequences for High Resolution Physiological and Functional Brain ImagingR44MH129278 · NIMH · ADVANCED MRI TECHNOLOGY, LLC · PI BECKETT, ALEXANDER, FEINBERG, DAVID ALAN · 2021 to 2023
$4.3M
National Research Foundation of Korea RS-2024-00357917NIBIB NIH HHS U01 EB025162NIMH NIH HHS R01 MH111444NIMH NIH HHS R44 MH129278NINDS NIH HHS U24 NS129949The ICAN (ICT Challenge and Advanced Network of HRD) RS-2022-00156385The Institute of Information & Communications Technology Planning & Evaluation (IITP)-Innovative Human Resource Development for Local Intellectualization program IITP-2025-RS-2022-00156287The National Institutes of Health 1R01MH111444The National Institutes of Health R44MH129278The National Institutes of Health U01EB025162
6 · The paper itself

Abstract

purposeTo develop an efficient 3D EPI encoding technique for high spatiotemporal resolution functional MRI.

methodsTo exploit spatiotemporal fMRI data structure, we introduce a variable density 2D CAIPI sampling in the spatial domain combined with time-wise extra random encoding in the time domain, thus achieving pseudo-regular sampling with a regular blip while allowing incoherent sampling in a complementary manner across time. This enabled temporally regularized reconstruction of highly accelerated functional data acquisition. The encoding scheme was then validated against temporally invariant CAIPI encoding by applying to locally confined and whole-brain around the primary visual cortex, respectively, with increasing the spatial resolutions.

resultsFor partial brain imaging, our proposed method achieved higher reconstruction accuracy, resulting in a substantial increase of SSIM compared to an alternative method for 0.64 mm-isotropic resolution. When used for whole brain imaging at 0.56 mm-isotropic resolution, our method showed a decreased spatial extent of activation and produced high-quality images for a clear distinction between activated and non-activated regions around calcarine fissure with high spatial specificity.

conclusionThe proposed 3D EPI encoding scheme, which exploits coherent and incoherent sampling properties, can significantly improve the image quality while providing a good balance between sensitivity and specificity in the activated regions.

Indexed as

BrainBrain MappingEcho-Planar ImagingImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingAdultAlgorithmsFemaleHumansMaleReproducibility of ResultsSensitivity and Specificity3D EPIfunctional MRIrandom encodingVD‐CAIPIRINHA

Identifiers

PMID40275620
PMCPMC12140902

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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.