ArticleNeuroImage2018
High resolution data analysis strategies for mesoscale human functional MRI at 7 and 9.4T.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
46 citing papers in PubMed.
- Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.bioRxiv : the preprint server for biology · 2026Article
- Outlook on zero/ultrashort echo time techniques in functional MRI.Magnetic resonance in medicine · 2026Review
- Whole-brain meso-vein imaging in living humans using fast 7-T MRI.Science advances · 2026Article
- Article
- Semantic fMRI neurofeedback of emotions: from basic principles to clinical applications.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Recurrent inhibition refines mental templates to optimize perceptual decisions.Science advances · 2024Article
- Multidimensional Alternating Kernel Method for cortical layer segmentation in 3D reconstructed histology.MethodsX · 2024Article
- Cortical depth profiles in primary visual cortex for illusory and imaginary experiences.Nature communications · 2024Article
- Characterisation of laminar and vascular spatiotemporal dynamics of CBV and BOLD signals using VASO and ME-GRE at 7T in humans.bioRxiv : the preprint server for biology · 2024Article
- Article
- Characterisation of laminar and vascular spatiotemporal dynamics of CBV and BOLD signals using VASO and ME-GRE at 7T in humans.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Direct segmentation of cortical cytoarchitectonic domains using ultra-high-resolution whole-brain diffusion MRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Cerebral hyperactivation across the Alzheimer's disease pathological cascade.Brain communications · 2024Review
- Magnetic resonance imaging at 9.4 T: the Maastricht journey.Magma (New York, N.Y.) · 2023Review
- Mapping the individual human cortex using multidimensional MRI and unsupervised learning.Brain communications · 2023Article
- Critical factors in achieving fine-scale functional MRI: Removing sources of inadvertent spatial smoothing.Human brain mapping · 2022Article
- Mapping of whole-cerebrum resting-state networks using ultra-high resolution acquisition protocols.Human brain mapping · 2022Article
- Article
- Occupational exposure to electromagnetic fields in magnetic resonance environment: an update on regulation, exposure assessment techniques, health risk evaluation, and surveillance.Medical & biological engineering & computing · 2022Review
- New acquisition techniques and their prospects for the achievable resolution of fMRI.Progress in neurobiology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The advent of ultra-high field functional magnetic resonance imaging (fMRI) has greatly facilitated submillimeter resolution acquisitions (voxel volume below (1mm³)), allowing the investigation of cortical columns and cortical depth dependent (i.e. laminar) structures in the human brain. Advanced data analysis techniques are essential to exploit the information in high resolution functional measures. In this article, we use recent, exemplary 9.4T human functional and anatomical data to review the advantages and disadvantages of (1) pooling high resolution data across regions of interest for cortical depth profile analysis, (2) pooling across cortical depths for mapping patches of cortex while discarding depth-dependent (i.e. columnar) effects, and (3) isotropic sampling without pooling to assess individual voxel's responses. A set of cortical depth meshes may be a solution to sampling information tangentially while keeping correspondence across depths. For quantitative analysis of the spatial organization in fine-grained structures, a cortical grid approach is advantageous. We further extend this general framework by combining it with a previously introduced cortical layer volume-preserving (equi-volume) approach. This framework can readily accommodate the research questions which allow for spatial smoothing within or across layers. We demonstrate and discuss that equi-volume sampling yields a slight advantage over equidistant sampling given the current limitations of fMRI voxel size, participant motion, coregistration and segmentation. Our 9.4T human anatomical and functional data indicate the advantage over lower fields including 7T and demonstrate the practical applicability of T
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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.