ReviewProgress in neurobiology2021
Layer-dependent functional connectivity methods.
Review in Progress in neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
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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
75 citing papers in PubMed.
- The primate claustrum as a hub for precision weighting of prediction errors across the cortical hierarchy.PLoS biology · 2026Article
- Resting fMRI functional connectivity reflects fluctuations in inhibitory interneuron activity.bioRxiv : the preprint server for biology · 2026Article
- UltraFast Layer-Resolved Encoding (uFLARE) functional MRI deciphers bidirectional signaling from spontaneous activity.Nature communications · 2026Article
- Article
- Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.bioRxiv : the preprint server for biology · 2026Article
- Alcohol use disorder is associated with altered frontomedial phase-amplitude coupling strength during resting state.Neuroimage. Reports · 2026Article
- Block-interleaved segmented echo-planar imaging for improved activity detection in submillimeter high-resolution functional MRI at 7 T.Magnetic resonance in medicine · 2026Article
- The potential of laminar functional MRI in refining the understanding of epilepsy in humans.Brain : a journal of neurology · 2025Review
- Unraveling the mesoscale resting-state functional connectivity of ocular dominance columns in humans using high-resolution functional MRI.Communications 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
- Unraveling the mesoscale resting-state functional connectivity of ocular dominance columns in humans using high-resolution functional MRI.bioRxiv : the preprint server for biology · 2025Article
- The human brain mechanisms of afterimages: From networks to cortical layers.bioRxiv : the preprint server for biology · 2025Article
- Blood volume sensitive laminar fMRI with VASO in human hippocampus: Capabilities and biophysical challenges at clinical 7T scanners.bioRxiv : the preprint server for biology · 2025Article
- What are we missing? What are we assuming? The need to foster feature discovery tools to improve statistical models.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Short-term gradient imperfections in high-resolution EPI lead to Fuzzy Ripple artifacts.Magnetic resonance in medicine · 2025Article
- T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data.Magnetic resonance in medicine · 2025Article
- Article
- A 128-channel receive array with enhanced signal-to-noise ratio performance for 10.5T brain imaging.Magnetic resonance in medicine · 2025Article
- Layer-specific BOLD effects in gradient and spin-echo acquisitions in somatosensory cortex.Magnetic resonance in medicine · 2025Article
- RF coil design strategies for improving SNR at the ultrahigh magnetic field of 10.5T.Magnetic resonance in medicine · 2025Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Recent methodological advances in fMRI contrast and readout strategies have allowed researchers to approach the mesoscopic spatial regime of cortical layers. This has revolutionized the ability to map cortical information processing within and across brain systems. However, until recently, most layer-fMRI studies have been confined to primary cortices using basic block-design tasks and macro-vascular-contaminated sequence contrasts. To become an established method for user-friendly applicability in neuroscience practice, layer-fMRI acquisition and analysis methods need to be extended to more flexible connectivity-based experiment designs; they must be able to capture subtle changes in brain networks of higher-order cognitive areas, and they should not be spatially biased with unwanted vein signals. In this article, we review the most pressing challenges of layer-dependent fMRI for large-scale neuroscientific applicability and describe recently developed acquisition methodologies that can resolve them. In doing so, we review technical tradeoffs and capabilities of modern MR-sequence approaches to achieve measurements that are free of locally unspecific vein signal, with whole-brain coverage, sub-second sampling, high resolutions, and with a combination of those capabilities. The presented approaches provide whole-brain layer-dependent connectivity data that open a new window to investigate brain network connections. We exemplify this by reviewing a number of candidate tools for connectivity analyses that will allow future studies to address new questions in network neuroscience. The considered network analysis tools include: hierarchy mapping, directional connectomics, source-specific connectivity mapping, and network sub-compartmentalization. We conclude: Whole-brain layer-fMRI without large-vessel contamination is applicable for human neuroscience and opens the door to investigate biological mechanisms behind any number of psychological and psychiatric phenomena, such as selective attention, hallucinations and delusions, and even conscious perception.
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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.