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LayNii: A software suite for layer-fMRI.
Huber, Laurentius Renzo; Poser, Benedikt A; Bandettini, Peter A; Arora, Kabir; Wagstyl, Konrad; Cho, Shinho; Goense, Jozien; Nothnagel, Nils; Morgan, Andrew Tyler; van den Hurk, Job; Müller, Anna K; Reynolds, Richard C; Glen, Daniel R; Goebel, Rainer; Gulban, Omer Faruk.
Afiliação
  • Huber LR; MBIC, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands. Electronic address: renzohuber@gmail.com.
  • Poser BA; MBIC, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands.
  • Bandettini PA; NIMH, NIH, Bethesda, MD, USA.
  • Arora K; MBIC, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands.
  • Wagstyl K; Wellcome Centre for Human Neuroimaging, University College London, London, UK.
  • Cho S; CMRR, University of Minneapolis, MN, USA.
  • Goense J; University of Glasgow, UK.
  • Nothnagel N; University of Glasgow, UK.
  • Morgan AT; University of Glasgow, UK.
  • van den Hurk J; Scannexus, Maastricht, the Netherlands.
  • Müller AK; Goethe University Frankfurt, Frankfurt, Germany.
  • Reynolds RC; NIMH, NIH, Bethesda, MD, USA.
  • Glen DR; NIMH, NIH, Bethesda, MD, USA.
  • Goebel R; MBIC, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands; Brain Innovation, Maastricht, the Netherlands.
  • Gulban OF; MBIC, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands; Brain Innovation, Maastricht, the Netherlands.
Neuroimage ; 237: 118091, 2021 08 15.
Article em En | MEDLINE | ID: mdl-33991698
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software / Encéfalo / Imageamento por Ressonância Magnética / Neuroimagem Funcional Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software / Encéfalo / Imageamento por Ressonância Magnética / Neuroimagem Funcional Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article