ReviewNature human behaviour2023
The challenges and prospects of brain-based prediction of behaviour.
Review in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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.
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.
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Who cites it
40 citing papers in PubMed.
- Trial
- The underlying mechanisms of tDCS-Based cognitive enhancement in unpredictable task switching: A machine learning-based approach for EEG signal analysis.Neuroimage. Reports · 2026Article
- Molecular and cellular correlates of human cortical lateralization.Communications biology · 2026Article
- Prediction of cognitive performance by demographics, sleep, and brain morphometry: machine learning findings from ENIGMA-Sleep Working Group.Research square · 2026Article
- Connectome-based predictive modeling of concurrent and longitudinal substance use vulnerability in adolescence.Developmental cognitive neuroscience · 2026Article
- External validation improves generalizability, replicability and reproducibility in predictive models for neuroimaging.Nature methods · 2026Review
- Article
- A Framework for Advancing Mechanistic Neurobehavioral Biomarkers in Psychiatry.Biological psychiatry · 2026Review
- Three parsimonious spatiotemporal patterns in cerebellum reveal individual traits in function and behavior.Nature communications · 2026Article
- Prediction of cognitive test scores: a comparison of brain structure, health, demographic, and cognitive data across adulthood.GeroScience · 2026Article
- Intrinsic connectivity patterns of striatal subfields predict individual dimensions of psychopathology and are associated with cholinergic and serotonergic neurotransmission in schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- The role of age in the relationship between brain structure and cognition: moderator or confound?Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Sleep disturbances and Alzheimer's disease: a multiscale approach from exposome to neurobiology and precision medicine.GeroScience · 2026Review
- Cognition, but not affect, rests upon a segregated intrinsic network architecture.bioRxiv : the preprint server for biology · 2026Article
- Spontaneous brain regional dynamics contribute to generalizable brain-behaviour associations.Nature human behaviour · 2026Article
- Relearning the epistemology, history, and future of neuropsychiatry.Frontiers in human neuroscience · 2026Review
- Latent space-based network analysis for brain-behavior linking in neuroimaging.Nature methods · 2026Article
- Explainable machine-learning integration of pre-task and preparatory EEG: revealing complementary predictive information for expert action reliability.Frontiers in neuroscience · 2026Article
- The molecular and cellular underpinnings of human brain lateralization.bioRxiv : the preprint server for biology · 2025Article
- Multimodal neuroimaging data boosts the prediction of multifaceted cognition.Research square · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Relating individual brain patterns to behaviour is fundamental in system neuroscience. Recently, the predictive modelling approach has become increasingly popular, largely due to the recent availability of large open datasets and access to computational resources. This means that we can use machine learning models and interindividual differences at the brain level represented by neuroimaging features to predict interindividual differences in behavioural measures. By doing so, we could identify biomarkers and neural correlates in a data-driven fashion. Nevertheless, this budding field of neuroimaging-based predictive modelling is facing issues that may limit its potential applications. Here we review these existing challenges, as well as those that we anticipate as the field develops. We focus on the impacts of these challenges on brain-based predictions. We suggest potential solutions to address the resolvable challenges, while keeping in mind that some general and conceptual limitations may also underlie the predictive modelling approach.
Indexed as
Identifiers
37524932What Socratic 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 Socratic graph.