Evidence map›Paper›PMID 40432253›Full record

ArticleMagnetic resonance in medicine2026

Block-interleaved segmented echo-planar imaging for improved activity detection in submillimeter high-resolution functional MRI at 7 T.

Guoxiang Liu, Takashi Ueguchi, Seiji Ogawa

Abstract read
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 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Guoxiang LiuBrain Function Analysis and Imaging Laboratory, Center for Information and Neural Networks, Advanced ICT Research Institute, National Institute of Information and Communications Technology, Suita, Osaka, Japan.ORCID 0000-0001-9090-019X
Takashi UeguchiBrain Function Analysis and Imaging Laboratory, Center for Information and Neural Networks, Advanced ICT Research Institute, National Institute of Information and Communications Technology, Suita, Osaka, Japan.
Seiji OgawaBrain Function Analysis and Imaging Laboratory, Center for Information and Neural Networks, Advanced ICT Research Institute, National Institute of Information and Communications Technology, Suita, Osaka, Japan.

Funding

Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research "KAKENHI" 19K08244Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research "KAKENHI" 23K07132Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research "KAKENHI" 26282223
6 · The paper itself

Abstract

purposeIsotropic submillimeter high-resolution functional MRI (fMRI) facilitates noninvasive investigation of neuronal activities at the mesoscale level, including cortical columns and laminae. However, the task-evoked functional activity becomes less detectable when using single-shot echo planar imaging (EPI) with parallel imaging techniques such as generalized autocalibrating partially parallel acquisitions (GRAPPA), owing to a reduction in temporal signal-to-noise ratio (tSNR). Although conventional multishot EPI (msEPI) enhances tSNR, it reduces temporal resolution, making it less suitable for fMRI studies involving short-duration stimuli. To overcome this problem, a novel msEPI-based fMRI acquisition and reconstruction method, called block-interleaved segmented EPI (BISEPI), was proposed.

methodsThis technique uses timing information of a block design paradigm during acquisition and reconstruction to preserve both temporal resolution and tSNR. Furthermore, a k-space-based motion correction method is incorporated to mitigate head motion artifacts.

resultsResults from human studies showed that the proposed method reduced g-factor penalties typically observed in GRAPPA-accelerated EPI. It provided high tSNR, improved motion robustness, and enhanced sensitivity to blood oxygen level-dependent signal responses.

conclusionThe proposed method circumvents both conventional msEPI-related and GRAPPA-related problems and enables the detection of blood oxygen level-dependent signal responses at submillimeter spatial resolution. It is effective for paradigms using short-duration, low-power stimuli at 0.7-mm isotropic resolution, and standard-power stimuli at 0.4-mm isotropic resolution.

Indexed as

BrainBrain MappingEcho-Planar ImagingImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultAlgorithmsArtifactsFemaleHumansMaleSignal-To-Noise RatioBOLDEPIimage acquisition and reconstructionk‐space segmentationsubmillimeter high‐resolution fMRIultrahigh magnetic field

Identifiers

PMID40432253
PMCPMC12620161

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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.