ArticleNeuroImage2021
LayNii: A software suite for layer-fMRI.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
98 citing papers in PubMed, 159 citations in OpenAlex.
- Magnetization transfer weighted EPI facilitates cortical depth determination in native fMRI space.NeuroImage · 2021Trial
- Frequency and laminar profile of feature-specific visual activity revealed by interleaved EEG-fMRI.eLife · 2026Article
- Ultrafast fMRI Detects Age-Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T.Magnetic resonance in medicine · 2026Article
- Structural MRI across lifespan reveals differential thalamic trajectories in Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Metabolic organization of macaque visual cortex reflects visual field topography and perceptual specialization.PLoS biology · 2026Article
- Functional MRI of the Human Hippocampus at 10.5T: Pushing the Boundaries of Spatial Resolution.bioRxiv : the preprint server for biology · 2026Article
- Next Generation 7 Tesla Arterial Spin Labeling With Rotated Spiral Acquisition Enables Mesoscale Resolution in 3D Brain Perfusion and Functional MRI.Magnetic resonance in medicine · 2026Article
- Premotor cortex hemodynamic responses primarily reflect perceptual rather than specific motor aspects of decision making.PLoS biology · 2026Article
- The In Vivo Microstructural Profile of Human Hippocampal Subfield CA1 and Its Relation to Memory Performance.Human brain mapping · 2026Article
- Resolving mesoscale brainstem-prefrontal-striatal pathways underlying decisions upon salient events using submillimeter-resolution fMRI.Nature communications · 2026Article
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- Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.bioRxiv : the preprint server for biology · 2026Article
- Layer-specific attentional modulation in the human primary somatosensory cortex.Nature communications · 2026Article
- Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient diffusion MRI.Communications biology · 2026Article
- Impact of thermal and physiological denoising on laminar functional connectivity.Scientific reports · 2026Article
- Whole-brain meso-vein imaging in living humans using fast 7-T MRI.Science advances · 2026Article
- Study protocol for the Champaign-Urbana population study.Frontiers in neuroimaging · 2026Article
- Cross-spatial scale processing of hierarchical auditory sequences in human brains revealed using 7 T magnetic resonance imaging.Nature communications · 2025Article
- Neural encoding of biomechanically (im)possible human movements in occipitotemporal cortex.PLoS computational biology · 2025Article
- Ultrafast fMRI detects age-related changes in harmonics of cardiac pulsations in the brain at 7 T.bioRxiv : the preprint server for biology · 2025Article
38 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 5 institutions in 4 countries.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.