ArticleTrends in neurosciences2024
Principles of intensive human neuroimaging.
Article in Trends in neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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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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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Relative Accuracy of Different Methods for Measuring Mind Wandering Subtypes: A Systematic Review.Brain and behavior · 2025Pooled it
- Practical considerations for dense longitudinal neuroimaging: Ten simple rules for frequent scanning over short time periods.Developmental cognitive neuroscience · 2026Article
- Dense longitudinal neuroimaging reveals individual brain change trajectories.Trends in cognitive sciences · 2026Review
- Parallel processing chains span cytoarchitectures to organize association cortex.bioRxiv : the preprint server for biology · 2026Article
- Three-dimensional scene boundary representations for wall orientation and distance are represented distinctly in the human visual cortex.PLoS biology · 2026Article
- A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision.Nature communications · 2026Article
- Rapid cortical mapping with cross-participant encoding models.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Article
- The Oomplet dataset toolkit as a flexible and extensible system for large-scale, multi-category image generation.Scientific reports · 2025Article
- Complementary benefits of multivariate and hierarchical models for identifying individual differences in cognitive control.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Group-to-individual generalizability and individual-level inferences in cognitive neuroscience.Neuroscience and biobehavioral reviews · 2025Review
- Complementary benefits of multivariate and hierarchical models for identifying individual differences in cognitive control.bioRxiv : the preprint server for biology · 2024Article
- A modular semantic-structural pipeline for visual decoding from primate spiking data via selective temporal integration.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The rise of large, publicly shared functional magnetic resonance imaging (fMRI) data sets in human neuroscience has focused on acquiring either a few hours of data on many individuals ('wide' fMRI) or many hours of data on a few individuals ('deep' fMRI). In this opinion article, we highlight an emerging approach within deep fMRI, which we refer to as 'intensive' fMRI: one that strives for extensive sampling of cognitive phenomena to support computational modeling and detailed investigation of brain function at the single voxel level. We discuss the fundamental principles, trade-offs, and practical considerations of intensive fMRI. We also emphasize that intensive fMRI does not simply mean collecting more data: it requires careful design of experiments to enable a rich hypothesis space, optimizing data quality, and strategically curating public resources to maximize community impact.
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Identifiers
What Socratic holds
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 Socratic graph.