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LayNii: A software suite for layer-fMRI. Revision 1

LayNii: A software suite for layer-fMRI. Revision 1

来源:bioRxiv_logobioRxiv
英文摘要

Abstract High-resolution fMRI in the sub-millimeter regime allows researchers to resolve brain activity across cortical layers and columns non-invasively. While these high-resolution data make it possible to address novel questions of directional information flow within and across brain circuits, the corresponding data analyses are challenged by MRI artifacts, including image blurring, image distortions, low SNR, and restricted coverage. These challenges often result in insufficient spatial accuracy of con-ventional analysis pipelines. Here we introduce a new software suite that is specifically designed for layer-specific functional MRI: LayNii. This toolbox is a collection of command-line executable programs written in C/C++ and is distributed open-source and as pre-compiled binaries for Linux, Windows, and macOS. LayNii is designed for layer-fMRI data that suffer from SNR and coverage constraints and thus cannot be straightforwardly analyzed in alternative software packages. Some of the most popular programs of LayNii contain ‘layerification’ and columnarization in the native voxel space of functional data as well as many other layer-fMRI specific analysis tasks: layer-specific smoothing, model-based deveining of GE-BOLD data, quality assessment of artifact dominated sub-millimeter fMRI, as well as analyses of VASO data. Graphical abstractbiorxiv;2020.06.12.148080v2/UFIG1F1ufig1

Gulban Omer Faruk、Glen Daniel R.、Poser Benedikt A.、Bandettini Peter A.、Wagstyl Konrad、Nothnagel Nils、Morgan Andrew Tyler、van den Hurk Job、M¨1ller Anna K、Arora Kabir、Goebel Rainer、Reynolds Richard C.、Goense Jozien、Huber Laurentius (Renzo)、Cho Shinho

Brain InnovationNIMH, NIHMBIC, Faculty of Psychology and Neuroscience, Maastricht UniversityNIMH, NIHUCLUniversity of GlasgowUniversity of GlasgowScannexusUniversity of MainzMBIC, Faculty of Psychology and Neuroscience, Maastricht UniversityMBIC, Faculty of Psychology and Neuroscience, Maastricht University||Brain InnovationNIMH, NIHUniversity of GlasgowMBIC, Faculty of Psychology and Neuroscience, Maastricht UniversityCMRR, University of Minneapolis

10.1101/2020.06.12.148080

生物物理学生物科学现状、生物科学发展生物科学研究方法、生物科学研究技术

layer-fMRIlayer fmrilaminar fMRIcolumnar fMRIsub-millimeter fMRIfMRI QAcortical depth-dependent fMRI

Gulban Omer Faruk,Glen Daniel R.,Poser Benedikt A.,Bandettini Peter A.,Wagstyl Konrad,Nothnagel Nils,Morgan Andrew Tyler,van den Hurk Job,M¨1ller Anna K,Arora Kabir,Goebel Rainer,Reynolds Richard C.,Goense Jozien,Huber Laurentius (Renzo),Cho Shinho.LayNii: A software suite for layer-fMRI. Revision 1[EB/OL].(2025-03-28)[2025-05-28].https://www.biorxiv.org/content/10.1101/2020.06.12.148080.点此复制

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