LayNii: A software suite for layer-fMRI.
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 08 2021
15 08 2021
Historique:
received:
23
07
2020
revised:
19
02
2021
accepted:
16
04
2021
pubmed:
16
5
2021
medline:
29
10
2021
entrez:
15
5
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33991698
pii: S1053-8119(21)00368-2
doi: 10.1016/j.neuroimage.2021.118091
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
118091Subventions
Organisme : Wellcome Trust
ID : 215901/Z/19/Z
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : R01 MH111444
Pays : United States
Organisme : Medical Research Council
ID : MR/N003403/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N008537/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R005745/1
Pays : United Kingdom
Organisme : Intramural NIH HHS
ID : ZIA MH002783
Pays : United States
Informations de copyright
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.