Individual differences in cognitive performance are better predicted by global rather than localized BOLD activity patterns across the cortex
Despite its central role in revealing the neurobiological mechanisms of behavior,
neuroimaging research faces the challenge of producing reliable biomarkers for cognitive …
neuroimaging research faces the challenge of producing reliable biomarkers for cognitive …
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 …
A connectivity-based psychometric prediction framework for brain–behavior relationship studies
The recent availability of population-based studies with neuroimaging and behavioral
measurements opens promising perspectives to investigate the relationships between …
measurements opens promising perspectives to investigate the relationships between …
Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: methods and promises
The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …
using traditional univariate brain mapping approaches to multivariate predictive models …
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 …
Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability
Variation in cognitive ability arises from subtle differences in underlying neural architecture.
Understanding and predicting individual variability in cognition from the differences in brain …
Understanding and predicting individual variability in cognition from the differences in brain …
Bridging the big (data) gap: levels of control in small-and large-scale cognitive neuroscience research
Recently, cognitive neuroscience has experienced unprecedented growth in the availability
of large-scale datasets. These developments hold great methodological and theoretical …
of large-scale datasets. These developments hold great methodological and theoretical …
[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 …
Assessing inter-individual differences with task-related functional neuroimaging
Explaining and predicting individual behavioural differences induced by clinical and social
factors constitutes one of the most promising applications of neuroimaging. In this …
factors constitutes one of the most promising applications of neuroimaging. In this …
Individual variability is not noise
K Zilles, K Amunts - Trends in cognitive sciences, 2013 - cell.com
A recent study demonstrates that intersubject variability in functional connectivity is
heterogeneous across the cortex, with significantly higher variability in multimodal …
heterogeneous across the cortex, with significantly higher variability in multimodal …