ReviewNeuroImage2021
The Human Connectome Project: A retrospective.
Review in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 3 of them syntheses that pooled it.
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
165 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Relationship Between Family History of Depression and Brain Structure and Function: A Systematic Review of Large Cohorts.Biological psychiatry · 2026Pooled it
- Artificial intelligence role in advancement of human brain connectome studies.Frontiers in neuroinformatics · 2024Pooled it
- Accurate localization and coactivation profiles of the frontal eye field and inferior frontal junction: an ALE and MACM fMRI meta-analysis.Brain structure & function · 2023Pooled it
- Evaluating the Neural Underpinnings of Motivation for Walking Exercise.Physical therapy · 2024Trial
- Large-Scale Brain Network Connectivity Mediates the Association Between Metabolic Risk Factors and Cognition: An fMRI Study of the Human Connectome Project.International journal of endocrinology and metabolism · 2026Article
- Unveiling Functional-Metabolic Synergy in the Healthy Brain: Multivariate Integration of Dynamic [Human brain mapping · 2026Article
- Recent advances in MR neuroimaging: toward quantitative and AI-driven brain and spinal cord imaging.Japanese journal of radiology · 2026Review
- Spatial organization of AQP4 water channel expression in the human brain.Science advances · 2026Article
- Multiscale characterization of cortical signatures in positive and negative schizotypy: a worldwide ENIGMA study.Molecular psychiatry · 2026Article
- A framework for comparative analysis of human and mouse cortical neuron dendrites in corresponding brain regions.Nature neuroscience · 2026Article
- Heritable and experience-dependent cortical traits of reading ability.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- A Platform for Automatic Extraction of Imaging Biomarkers in CT Scans from Ischemic and Hemorrhagic Stroke Patients.Journal of imaging informatics in medicine · 2026Article
- Functional connectivity gradients depend on cortical sampling position and brain state.bioRxiv : the preprint server for biology · 2026Article
- Global network and local vulnerabilities underlie brain atrophy across Parkinson's disease stages.Brain : a journal of neurology · 2026Article
- HARMONY: A large-scale harmonized neuroimaging dataset for research on anxious misery disorders.bioRxiv : the preprint server for biology · 2026Article
- Selective molecular and network architecture features underlie brain cortical atrophy in dementia with Lewy bodies.Journal of biomedical science · 2026Article
- Auditory Network Discoherence in Chronic Tinnitus.medRxiv : the preprint server for health sciences · 2026Article
- Brain regional susceptibility to tauopathy in individuals at risk for chronic traumatic encephalopathy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Large-sample PCA eigenvectors stabilize cortical thickness components and improve small sample brain behavior prediction.Scientific reports · 2026Article
- Metabolic, demographic, and behavioral risk factors predict brain structural variability in the general population: an analysis of the human connectome project young adults.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
105 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
18 authors.
Funding
Abstract
The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances in human neuroimaging, particularly for measures of brain connectivity; apply these advances to study a large number of healthy young adults; and freely share the data and tools with the scientific community. NIH awarded grants to two consortia; this retrospective focuses on the "WU-Minn-Ox" HCP consortium centered at Washington University, the University of Minnesota, and University of Oxford. In just over 6 years, the WU-Minn-Ox consortium succeeded in its core objectives by: 1) improving MR scanner hardware, pulse sequence design, and image reconstruction methods, 2) acquiring and analyzing multimodal MRI and MEG data of unprecedented quality together with behavioral measures from more than 1100 HCP participants, and 3) freely sharing the data (via the ConnectomeDB database) and associated analysis and visualization tools. To date, more than 27 Petabytes of data have been shared, and 1538 papers acknowledging HCP data use have been published. The "HCP-style" neuroimaging paradigm has emerged as a set of best-practice strategies for optimizing data acquisition and analysis. This article reviews the history of the HCP, including comments on key events and decisions associated with major project components. We discuss several scientific advances using HCP data, including improved cortical parcellations, analyses of connectivity based on functional and diffusion MRI, and analyses of brain-behavior relationships. We also touch upon our efforts to develop and share a variety of associated data processing and analysis tools along with detailed documentation, tutorials, and an educational course to train the next generation of neuroimagers. We conclude with a look forward at opportunities and challenges facing the human neuroimaging field from the perspective of the HCP consortium.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.