The challenges and prospects of brain-based prediction of behaviour
Relating individual brain patterns to behaviour is fundamental in system neuroscience.
Recently, the predictive modelling approach has become increasingly popular, largely due …
Recently, the predictive modelling approach has become increasingly popular, largely due …
Multivariate BWAS can be replicable with moderate sample sizes
Brain-wide association studies (BWAS)—which correlate individual differences in
phenotypic traits with measures of brain structure and function—have become a dominant …
phenotypic traits with measures of brain structure and function—have become a dominant …
[HTML][HTML] Computational limits to the legibility of the imaged human brain
Our knowledge of the organisation of the human brain at the population-level is yet to
translate into power to predict functional differences at the individual-level, limiting clinical …
translate into power to predict functional differences at the individual-level, limiting clinical …
[HTML][HTML] Power and reproducibility in the external validation of brain-phenotype predictions
Identifying reproducible and generalizable brain-phenotype associations is a central goal of
neuroimaging. Consistent with this goal, prediction frameworks evaluate brain-phenotype …
neuroimaging. Consistent with this goal, prediction frameworks evaluate brain-phenotype …
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI …
Neuroimaging-based prediction of neurocognitive measures is valuable for studying how
the brain's structure relates to cognitive function. However, the accuracy of prediction using …
the brain's structure relates to cognitive function. However, the accuracy of prediction using …
[HTML][HTML] Multilayer meta-matching: translating phenotypic prediction models from multiple datasets to small data
Resting-state functional connectivity (RSFC) is widely used to predict phenotypic traits in
individuals. Large sample sizes can significantly improve prediction accuracies. However …
individuals. Large sample sizes can significantly improve prediction accuracies. However …
[HTML][HTML] Reliability and predictability of phenotype information from functional connectivity in large imaging datasets
One of the central objectives of contemporary neuroimaging research is to create predictive
models that can disentangle the connection between patterns of functional connectivity …
models that can disentangle the connection between patterns of functional connectivity …
Improving Predictability, Test-Retest Reliability and Generalisability of Brain-Wide Associations for Cognitive Abilities via Multimodal Stacking
A Tetereva, A Knodt, T Melzer, W van der Vliet… - bioRxiv, 2024 - biorxiv.org
Brain-wide association studies (BWASs) have attempted to relate cognitive abilities with
brain phenotypes, but have been challenged by issues such as predictability, test-retest …
brain phenotypes, but have been challenged by issues such as predictability, test-retest …
Brain Structure-Function Interaction Network for Fluid Cognition Prediction
Predicting fluid cognition via neuroimaging data is essential for understanding the neural
mechanisms underlying various complex cognitions in the human brain. Both brain …
mechanisms underlying various complex cognitions in the human brain. Both brain …
[PDF][PDF] Brain Region-wise Connectivity-based Psychometric Prediction: Framework, Interpretation, Replicability and Generalizability
J Wu - 2023 - juser.fz-juelich.de
The study of brain-behavior relationships is a fundamental aspect of neuroscience.
Recently, it has become increasingly popular to investigate brain-behavior relationships by …
Recently, it has become increasingly popular to investigate brain-behavior relationships by …