Literature DB >> 33991698

LayNii: A software suite for layer-fMRI.

Laurentius Renzo Huber1, Benedikt A Poser2, Peter A Bandettini3, Kabir Arora2, Konrad Wagstyl4, Shinho Cho5, Jozien Goense6, Nils Nothnagel6, Andrew Tyler Morgan6, Job van den Hurk7, Anna K Müller8, Richard C Reynolds3, Daniel R Glen3, Rainer Goebel9, Omer Faruk Gulban9.   

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 conventional 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 opensource 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 vein mitigation of GE-BOLD data, quality assessment of artifact dominated sub-millimeter fMRI, as well as analyses of VASO data.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 33991698     DOI: 10.1016/j.neuroimage.2021.118091

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  5 in total

1.  Cortical Surface-Informed Volumetric Spatial Smoothing of fMRI Data via Graph Signal Processing.

Authors:  Hamid Behjat; Carl-Fredrik Westin; Iman Aganj
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2021-11

2.  Laminar perfusion imaging with zoomed arterial spin labeling at 7 Tesla.

Authors:  Xingfeng Shao; Fanhua Guo; Qinyang Shou; Kai Wang; Kay Jann; Lirong Yan; Arthur W Toga; Peng Zhang; Danny J J Wang
Journal:  Neuroimage       Date:  2021-11-12       Impact factor: 7.400

3.  Cortical layer-specific differences in stimulus selectivity revealed with high-field fMRI and single-vessel resolution optical imaging of the primary visual cortex.

Authors:  Shinho Cho; Arani Roy; Chao J Liu; Djaudat Idiyatullin; Wei Zhu; Yi Zhang; Xiao-Hong Zhu; Phillip O'Herron; Austin Leikvoll; Wei Chen; Prakash Kara; Kâmil Uğurbil
Journal:  Neuroimage       Date:  2022-02-07       Impact factor: 7.400

4.  Ultrahigh Resolution fMRI at 7T Using Radial-Cartesian TURBINE Sampling.

Authors:  Nadine N Graedel; Karla L Miller; Mark Chiew
Journal:  Magn Reson Med       Date:  2022-07-04       Impact factor: 3.737

5.  Topographical and laminar distribution of audiovisual processing within human planum temporale.

Authors:  Yuhui Chai; Tina T Liu; Sean Marrett; Linqing Li; Arman Khojandi; Daniel A Handwerker; Arjen Alink; Lars Muckli; Peter A Bandettini
Journal:  Prog Neurobiol       Date:  2021-07-15       Impact factor: 10.885

  5 in total

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