ArticleHuman brain mapping2020
Network connectivity predicts language processing in healthy adults.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Using connectome-based predictive models to reveal the systems standardized tests and clinical symptoms are reflecting.Nature communications · 2026Article
- Child opportunity and cognitive development in a clinically referred sample.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2026Article
- Language dysfunction as a primary feature of cognitive decline in neurological populations.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Connectivity Regression.Biostatistics (Oxford, England) · 2025Article
- Predicting Real-Life Cognitive Scores From Functional Connectivity.Human brain mapping · 2025Article
- Structural signatures of language reorganization after left hemispherotomy in patients with Rasmussen's encephalitis.Brain structure & function · 2025Article
- Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach.Human brain mapping · 2025Article
- Bayesian scalar-on-network regression with applications to brain functional connectivity.Biometrics · 2025Article
- Test-retest reliability of MEG functional brain connectivity related to language production: Behavioral, functional, and structural underpinnings of reliable connectivity.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A Rose by Any Other Name: Mapping Taxonomic and Thematic Naming Errors Poststroke.Journal of cognitive neuroscience · 2024Article
- Network and state specificity in connectivity-based predictions of individual behavior.Human brain mapping · 2024Article
- From brain to education through machine learning: Predicting literacy and numeracy skills from neuroimaging data.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Network and State Specificity in Connectivity-Based Predictions of Individual Behavior.bioRxiv : the preprint server for biology · 2023Article
- Using modular connectome-based predictive modeling to reveal brain-behavior relationships of individual differences in working memory.Brain structure & function · 2023Article
- Structural and functional neural substrates underlying the concreteness effect.Brain structure & function · 2023Article
- Centrality and interhemispheric coordination are related to different clinical/behavioral factors in attention deficit/hyperactivity disorder: a resting-state fMRI study.Brain imaging and behavior · 2022Article
- Connectome-based predictive models using resting-state fMRI for studying brain aging.Experimental brain research · 2022Article
- A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome.NeuroImage · 2022Article
- A brain-based general measure of attention.Nature human behaviour · 2022Article
- Predicting response time variability from task and resting-state functional connectivity in the aging brain.NeuroImage · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Brain imaging has been used to predict language skills during development and neuropathology but its accuracy in predicting language performance in healthy adults has been poorly investigated. To address this shortcoming, we studied the ability to predict reading accuracy and single-word comprehension scores from rest- and task-based functional magnetic resonance imaging (fMRI) datasets of 424 healthy adults. Using connectome-based predictive modeling, we identified functional brain networks with >400 edges that predicted language scores and were reproducible in independent data sets. To simplify these complex models we identified the overlapping edges derived from the three task-fMRI sessions (language, working memory, and motor tasks), and found 12 edges for reading recognition and 11 edges for vocabulary comprehension that accounted for 20% of the variance of these scores, both in the training sample and in the independent sample. The overlapping edges predominantly emanated from language areas within the frontoparietal and default-mode networks, with a strong precuneus prominence. These findings identify a small subset of edges that accounted for a significant fraction of the variance in language performance that might serve as neuromarkers for neuromodulation interventions to improve language performance or for presurgical planning to minimize language impairments.
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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.