[PDF][PDF] There is no fundamental trade-off between prediction accuracy and feature importance reliability
There is significant interest in using neuroimaging data to predict behavior. The predictive
models are often interpreted by the computation of feature importance, which quantifies the …
models are often interpreted by the computation of feature importance, which quantifies the …
[HTML][HTML] Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study
There is significant interest in using neuroimaging data to predict behavior. The predictive
models are often interpreted by the computation of feature importance, which quantifies the …
models are often interpreted by the computation of feature importance, which quantifies the …
The burden of reliability: How measurement noise limits brain-behaviour predictions
Current major efforts in human neuroimaging research aim to understand individual
differences and identify biomarkers for clinical applications. One particularly promising …
differences and identify biomarkers for clinical applications. One particularly promising …
[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 …
[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 …
The Bayesian polyvertex score (PVS-B): a whole-brain phenotypic prediction framework for neuroimaging studies
The traditional brain mapping approach has greatly advanced our understanding of the
localized effect of the brain on behavior. However, the statistically significant brain regions …
localized effect of the brain on behavior. However, the statistically significant brain regions …
[HTML][HTML] Machine learning prediction of cognition from functional connectivity: Are feature weights reliable?
Cognitive performance can be predicted from an individual's functional brain connectivity
with modest accuracy using machine learning approaches. As yet, however, predictive …
with modest accuracy using machine learning approaches. As yet, however, predictive …
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging
Predictive modeling of neuroimaging data (predictive neuroimaging) for evaluating
individual differences in various behavioral phenotypes and clinical outcomes is of growing …
individual differences in various behavioral phenotypes and clinical outcomes is of growing …
[HTML][HTML] Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes
ES Finn, MD Rosenberg - NeuroImage, 2021 - Elsevier
Recent years have seen a surge of research on variability in functional brain connectivity
within and between individuals, with encouraging progress toward understanding the …
within and between individuals, with encouraging progress toward understanding the …
[HTML][HTML] Brain-phenotype predictions can survive across diverse real-world data
Recent work suggests that machine learning models predicting psychiatric treatment
outcomes based on clinical data may fail when applied to unharmonized samples …
outcomes based on clinical data may fail when applied to unharmonized samples …