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Meeting Abstract

Novel alpha-180 SE based LINE-scanning method (SELINE) for laminar-specific fMRI

MPG-Autoren
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Choi,  S
Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zeng,  H
Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Pohmann,  R
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Scheffler,  K
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Yu,  X
Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

Externe Ressourcen

http://indexsmart.mirasmart.com/ISMRM2019/PDFfiles/1166.html
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Zitation

Choi, S., Zeng, H., Pohmann, R., Scheffler, K., & Yu, X. (2019). Novel alpha-180 SE based LINE-scanning method (SELINE) for laminar-specific fMRI. In ISMRM 27th Annual Meeting & Exhibition.


Zitierlink: https://hdl.handle.net/21.11116/0000-0003-9CF2-C
Zusammenfassung
Laminar-specific functional magnetic resonance imaging (fMRI) opens new possibility for studying the neuronal circuitry and functional connectivity of cortex. FLASH based line-scanning method was proposed with high temporal and spatial resolution to better characterize the fMRI onset time across the cortical layers by combining 2 saturation RF pulses. However, the imperfect RF saturation performance led to poor boundary definition of the ROI from the cortex. In this work, we propose an α-180° SE based line-scanning (SELINE) method, solving this problem. We will improve this method to better understand the distinct laminar-specific neuronal circuitry and functional connectivity.