ArticleNeuroImage2020
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.
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
105 citing papers in PubMed.
- Learning robust and task-invariant functional representation from fMRI through Siamese self-supervised learning.Medical image analysis · 2026Article
- Effect sizes for brain-based predictive models of cognition across the lifespan.Communications psychology · 2026Review
- Multimodal MRI prediction of cognitive functioning across the lifespan: separating between-person differences from within-person changes.GeroScience · 2026Article
- Using connectome-based predictive models to reveal the systems standardized tests and clinical symptoms are reflecting.Nature communications · 2026Article
- Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting-State Functional Connectivity.Human brain mapping · 2026Article
- An Examination of Task-Evoked fMRI Data Processing in Functional Connectivity.Journal of neuroscience research · 2026Article
- Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models.bioRxiv : the preprint server for biology · 2026Article
- Trait-Relevant Tasks Improve Personality Prediction From Structural-Functional Brain Network Coupling.Human brain mapping · 2026Article
- Task-evoked functional connectivity exhibits novel and strengthened relationships with executive function relative to the resting state.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Optimizing functional connectivity scanning conditions for predicting autistic traits.medRxiv : the preprint server for health sciences · 2026Article
- Spontaneous brain regional dynamics contribute to generalizable brain-behaviour associations.Nature human behaviour · 2026Article
- Dynamic network reconfiguration in hepatitis B cirrhosis secondary to mild hepatic encephalopathy: a multilayer network analysis.Quantitative imaging in medicine and surgery · 2026Article
- Evolving brain function and connectivity patterns during mentalizing in children and adults.Communications biology · 2026Article
- Trait psychoticism is associated with greater intersubject neural dissimilarity during naturalistic social movie viewing.Scientific reports · 2026Article
- STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC.Proceedings of machine learning research · 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
- Multimodal neuroimaging data boosts the prediction of multifaceted cognition.Research square · 2025Article
- Generating synthetic task-based brain fingerprints for population neuroscience using deep learning.Communications biology · 2025Article
- Identification and External Validation of a Problem Cannabis Risk Network.Biological psychiatry · 2025Article
45 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
12 authors.
Funding
Abstract
Although both resting and task-induced functional connectivity (FC) have been used to characterize the human brain and cognitive abilities, the potential of task-induced FCs in individualized prediction for out-of-scanner cognitive traits remains largely unexplored. A recent study Greene et al. (2018) predicted the fluid intelligence scores using FCs derived from rest and multiple task conditions, suggesting that task-induced brain state manipulation improved prediction of individual traits. Here, using a large dataset incorporating fMRI data from rest and 7 distinct task conditions, we replicated the original study by employing a different machine learning approach, and applying the method to predict two reading comprehension-related cognitive measures. Consistent with their findings, we found that task-based machine learning models often outperformed rest-based models. We also observed that combining multi-task fMRI improved prediction performance, yet, integrating the more fMRI conditions can not necessarily ensure better predictions. Compared with rest, the predictive FCs derived from language and working memory tasks were highlighted with more predictive power in predominantly default mode and frontoparietal networks. Moreover, prediction models demonstrated high stability to be generalizable across distinct cognitive states. Together, this replication study highlights the benefit of using task-based FCs to reveal brain-behavior relationships, which may confer more predictive power and promote the detection of individual differences of connectivity patterns underlying relevant cognitive traits, providing strong evidence for the validity and robustness of the original findings.
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.