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Block-interleaved segmented echo-planar imaging for improved activity detection in submillimeter high-resolution
Guoxiang Liu1,2, Takashi Ueguchi1,2,3,4, Seiji Ogawa1,5
1Brain 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.
Block-interleaved segmented EPI (BISEPI) enhances functional MRI (fMRI) by improving temporal signal-to-noise ratio (tSNR) and motion robustness. This novel method enables high-resolution fMRI detection of neuronal activity, even with short stimuli.
Area of Science:
- Neuroimaging
- Magnetic Resonance Imaging
- Functional Magnetic Resonance Imaging
Background:
- Submillimeter high-resolution functional MRI (fMRI) enables mesoscale investigation of neuronal activity.
- Single-shot echo planar imaging (EPI) with parallel imaging (e.g., GRAPPA) reduces temporal signal-to-noise ratio (tSNR), hindering detection of task-evoked activity.
- Conventional multishot EPI (msEPI) improves tSNR but sacrifices temporal resolution, limiting its use for short-duration stimuli.
Purpose of the Study:
- To introduce a novel multishot EPI-based fMRI acquisition and reconstruction method, block-interleaved segmented EPI (BISEPI).
- To overcome the limitations of existing EPI techniques in achieving high temporal resolution and high tSNR simultaneously for submillimeter fMRI.
- To enable noninvasive investigation of neuronal activities at the mesoscale level with improved sensitivity and motion robustness.
Main Methods:
- BISEPI utilizes block design paradigm timing during acquisition and reconstruction to preserve temporal resolution and tSNR.
- A k-space-based motion correction method is integrated to address head motion artifacts.
- The technique was evaluated in human studies using various stimulus paradigms and resolutions (0.7-mm and 0.4-mm isotropic).
Main Results:
- BISEPI reduced g-factor penalties associated with GRAPPA acceleration.
- The method achieved high tSNR, enhanced motion robustness, and improved sensitivity to blood oxygen level-dependent (BOLD) signal responses.
- Detection of BOLD signal responses was demonstrated at submillimeter spatial resolutions.
Conclusions:
- BISEPI effectively addresses limitations of conventional msEPI and GRAPPA-accelerated EPI.
- The method enables the detection of BOLD signal responses at submillimeter spatial resolution (0.7-mm and 0.4-mm isotropic).
- BISEPI is suitable for fMRI paradigms involving short-duration, low-power stimuli at 0.7-mm resolution and standard-power stimuli at 0.4-mm resolution.
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