Individual differences in cognitive performance are better predicted by global rather than localized BOLD activity patterns across the cortex

W Zhao, CE Palmer, WK Thompson, B Chaarani… - Cerebral …, 2021 - academic.oup.com
Despite its central role in revealing the neurobiological mechanisms of behavior,
neuroimaging research faces the challenge of producing reliable biomarkers for cognitive …

The burden of reliability: How measurement noise limits brain-behaviour predictions

M Gell, SB Eickhoff, A Omidvarnia, V Küppers, KR Patil… - BioRxiv, 2023 - biorxiv.org
Current major efforts in human neuroimaging research aim to understand individual
differences and identify biomarkers for clinical applications. One particularly promising …

A connectivity-based psychometric prediction framework for brain–behavior relationship studies

J Wu, SB Eickhoff, F Hoffstaedter, KR Patil… - Cerebral …, 2021 - academic.oup.com
The recent availability of population-based studies with neuroimaging and behavioral
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

J Sui, R Jiang, J Bustillo, V Calhoun - Biological psychiatry, 2020 - Elsevier
The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …

Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging

R Jiang, CW Woo, S Qi, J Wu… - IEEE signal processing …, 2022 - ieeexplore.ieee.org
Predictive modeling of neuroimaging data (predictive neuroimaging) for evaluating
individual differences in various behavioral phenotypes and clinical outcomes is of growing …

Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability

J Rasero, AI Sentis, FC Yeh… - PLoS computational …, 2021 - journals.plos.org
Variation in cognitive ability arises from subtle differences in underlying neural architecture.
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

R Tibon, L Geerligs, K Campbell - Trends in Neurosciences, 2022 - cell.com
Recently, cognitive neuroscience has experienced unprecedented growth in the availability
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 …

Assessing inter-individual differences with task-related functional neuroimaging

M Lebreton, S Bavard, J Daunizeau… - Nature Human …, 2019 - nature.com
Explaining and predicting individual behavioural differences induced by clinical and social
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 …