ReviewNeuroImage2018
Analysis strategies for high-resolution UHF-fMRI data.
Review in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
71 citing papers in PubMed.
- A novel distortion-matched anatomical imaging sequence for high-fidelity functional mapping in submillimeter-resolution fMRI.Scientific reports · 2026Article
- Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.bioRxiv : the preprint server for biology · 2026Article
- Hippocampal subfield-specific imaging in depression: the translational power of ultra-high field MRI.Translational psychiatry · 2026Review
- Whole-brain meso-vein imaging in living humans using fast 7-T MRI.Science advances · 2026Article
- A biopsy-validated study of combined DL-upscaled MRSI and (18F)-FACBC PET for presurgical glioma diagnosis.Frontiers in oncology · 2026Article
- The superficial layers of the primary visual cortex create a saliency map that feeds forward to the parietal cortex.PLoS biology · 2025Article
- Cortical-layer EEG-fMRI at 7T: experimental setup and analysis pipeline to elucidate generating mechanisms of alpha oscillations.bioRxiv : the preprint server for biology · 2025Article
- Reducing Inter-Individual Differences in Task fMRI Preprocessing with OGRE (One-Step General Registration and Extraction) Preprocessing.Neuroinformatics · 2025Article
- Differentiating BOLD and non-BOLD signals in fMRI time series using cross-cortical depth delay patterns.bioRxiv : the preprint server for biology · 2025Article
- Article
- Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T.Frontiers in neuroscience · 2025Article
- A robust approach for analyzing and mapping hierarchical brain connectome towards laminar-specific neural networks.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Multiple loci for foveolar vision in macaque monkey visual cortex.Nature neuroscience · 2025Article
- Differentiating BOLD and non-BOLD signals in fMRI time series using cross-cortical depth delay patterns.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Multilayer network analysis across cortical depths in 7-T resting-state fMRI.Network neuroscience (Cambridge, Mass.) · 2025Article
- Multilayer Network Analysis across Cortical Depths in Resting-State 7T fMRI.bioRxiv : the preprint server for biology · 2024Article
- Closed-loop fMRI at the mesoscopic scale of columns and layers: Can we do it and why would we want to?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Evaluating the effect of denoising submillimeter auditory fMRI data with NORDIC.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Evaluating the effect of denoising submillimeter auditory fMRI data with NORDIC.bioRxiv : the preprint server for biology · 2024Article
- Unlocking near-whole-brain, layer-specific functional connectivity with 3D VAPER fMRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
11 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
4 authors.
Funding
Abstract
Functional MRI (fMRI) benefits from both increased sensitivity and specificity with increasing magnetic field strength, making it a key application for Ultra-High Field (UHF) MRI scanners. Most UHF-fMRI studies utilize the dramatic increases in sensitivity and specificity to acquire high-resolution data reaching sub-millimeter scales, which enable new classes of experiments to probe the functional organization of the human brain. This review article surveys advanced data analysis strategies developed for high-resolution fMRI at UHF. These include strategies designed to mitigate distortion and artifacts associated with higher fields in ways that attempt to preserve spatial resolution of the fMRI data, as well as recently introduced analysis techniques that are enabled by these extremely high-resolution data. Particular focus is placed on anatomically-informed analyses, including cortical surface-based analysis, which are powerful techniques that can guide each step of the analysis from preprocessing to statistical analysis to interpretation and visualization. New intracortical analysis techniques for laminar and columnar fMRI are also reviewed and discussed. Prospects for single-subject individualized analyses are also presented and discussed. Altogether, there are both specific challenges and opportunities presented by UHF-fMRI, and the use of proper analysis strategies can help these valuable data reach their full potential.
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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.