ArticleNature human behaviour2022
A brain-based general measure of attention.
Article in Nature human behaviour, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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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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
24 citing papers in PubMed.
- Shining Light into Adolescent HIV Neuroplasticity: A Study of the Prefrontal Cortex Using Functional Near Infrared Spectrometry.F1000Research · 2025Trial
- Molecular genetic influences on sustained attention and executive processes and their links with psychopathology in the AFFECT study.Molecular psychiatry · 2026Article
- Seeing Conflict: Identifying Self-Control Conflict Attenuates Early Allocation of Visual Attention to Positive Stimuli.Quarterly journal of experimental psychology (2006) · 2026Article
- Article
- Feature overlap in transdiagnostic connectome-based models of sustained attention and autism symptoms.medRxiv : the preprint server for health sciences · 2026Article
- Biological validity, test-retest reliability, and behavioral relevance of the single-subject brain volumetric similarity network.NeuroImage · 2026Article
- Optimizing functional connectivity scanning conditions for predicting autistic traits.medRxiv : the preprint server for health sciences · 2026Article
- Optimizing functional connectivity scanning conditions for predicting autistic traits.Nature. Mental health · 2026Article
- Connectome caricatures remove large-amplitude coactivation patterns in resting-state fMRI to emphasize individual differences.Nature neuroscience · 2025Article
- Connectome-Based Predictive Models of General and Specific Executive Functions.Human brain mapping · 2025Article
- Cortical activation and functional connectivity during different attention tasks using functional near-infrared spectroscopy in middle-aged and elderly people.European journal of medical research · 2025Article
- Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Brain network dynamics predict moments of surprise across contexts.Nature human behaviour · 2025Article
- Functional brain networks predicting sustained attention are not specific to perceptual modality.Network neuroscience (Cambridge, Mass.) · 2025Article
- Integrating brain function and structure in the study of the human attentional networks: a functionnectome study.Brain structure & function · 2024Article
- Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- High performers demonstrate greater neural synchrony than low performers across behavioral domains.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Chronic pain as an emergent property of a complex system and the potential roles of psychedelic therapies.Frontiers in pain research (Lausanne, Switzerland) · 2024Article
- Functional brain connectivity predicts sleep duration in youth and adults.Human brain mapping · 2023Article
- Edge-based general linear models capture high-frequency fluctuations in attention.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Attention is central to many aspects of cognition, but there is no singular neural measure of a person's overall attentional functioning across tasks. Here, using original data from 92 participants performing three different attention-demanding tasks during functional magnetic resonance imaging, we constructed a suite of whole-brain models that can predict a profile of multiple attentional components (sustained attention, divided attention and tracking, and working memory capacity) for novel individuals. Multiple brain regions across the salience, subcortical and frontoparietal networks drove accurate predictions, supporting a common (general) attention factor across tasks, distinguished from task-specific ones. Furthermore, connectome-to-connectome transformation modelling generated an individual's task-related connectomes from rest functional magnetic resonance imaging, substantially improving predictive power. Finally, combining the connectome transformation and general attention factor, we built a standardized measure that shows superior generalization across four independent datasets (total N = 495) of various attentional measures, suggesting broad utility for research and clinical applications.
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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.