ArticleNature neuroscience2024
A precision functional atlas of personalized network topography and probabilities.
Article in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 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
54 citing papers in PubMed.
- Human intracranial signal stability tracks anatomical accuracy after electrode reimplantation.Journal of neural engineering · 2026Trial
- Individualized Network Topography in Pre-adolescent Children and Adults Using Naturalistic Precision fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- A language network in the individualized functional connectomes of 1199 human brains doing arbitrary tasks.Nature communications · 2026Article
- Pubertal timing predicts resting-state functional connectivity of cortical networks.Developmental cognitive neuroscience · 2026Article
- Human genetics across levels of biological organization.Nature reviews. Genetics · 2026Review
- Early Adversity Selectively Reshapes the Somato-Cognitive Action Network in the Developing Brain.bioRxiv : the preprint server for biology · 2026Article
- The hippocampus becomes topographically and functionally specialized along the longitudinal axis with development.Nature communications · 2026Article
- Brain states recur across diverse narrative contexts during longitudinal viewing.bioRxiv : the preprint server for biology · 2026Article
- Longitudinal Study of Adolescent Brain Connectivity Development Using Sign-Aware Graph Theory Metrics.Human brain mapping · 2026Article
- Feasibility of Precision Functional Mapping in Youth Multi-Echo fMRI Data.bioRxiv : the preprint server for biology · 2026Article
- Estimating the fraction of variance of crystallized intelligence explained by cortical surface area in early adolescence.bioRxiv : the preprint server for biology · 2026Article
- Mapping Functional Brain Organization Using Artificial Intelligence.Chemical & biomedical imaging · 2026Review
- The PMADS Project: A Longitudinal Multimodal Cohort Study to Understand Risk for Perinatal Mood and Anxiety Disorders.bioRxiv : the preprint server for biology · 2026Article
- Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Commonality and Variability in Functional Networks in Children Under 5 Years Old.bioRxiv : the preprint server for biology · 2026Article
- Individualized Mapping of Functional Brain Networks in Older Adulthood.bioRxiv : the preprint server for biology · 2026Article
- Cortical Thickness and Curvature in Autism and ADHD: A Mega-Analysis.bioRxiv : the preprint server for biology · 2026Article
- Precision functional neuroimaging reveals individually specific auditory responses in infants.Developmental cognitive neuroscience · 2026Article
- Benchmarking functional brain network organization in childhood and its similarity to adults.Frontiers in neuroimaging · 2026Article
- An open, fully-processed data resource for studying mood and sleep variability in the developing brain.Aperture neuro · 2026Article
Corrections and comments
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Authors and funding
29 authors.
Funding
Abstract
Although the general location of functional neural networks is similar across individuals, there is vast person-to-person topographic variability. To capture this, we implemented precision brain mapping functional magnetic resonance imaging methods to establish an open-source, method-flexible set of precision functional network atlases-the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas. This atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others. We also generated probabilistic network maps across multiple ages and integration zones (using a new overlapping mapping technique, Overlapping MultiNetwork Imaging). Using regions of high network invariance improved the reproducibility of executive function statistical maps in brain-wide associations compared to group average-based parcellations. Finally, we provide a potential use case for probabilistic maps for targeted neuromodulation. The atlas is expandable to alternative datasets with an online interface encouraging the scientific community to explore and contribute to understanding the human brain function more precisely.
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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.