The challenges and prospects of brain-based prediction of behaviour

J Wu, J Li, SB Eickhoff, D Scheinost… - Nature Human Behaviour, 2023 - nature.com
Relating individual brain patterns to behaviour is fundamental in system neuroscience.
Recently, the predictive modelling approach has become increasingly popular, largely due …

How to establish robust brain–behavior relationships without thousands of individuals

MD Rosenberg, ES Finn - Nature Neuroscience, 2022 - nature.com
Can studying individual differences in brain structure and function reveal individual
differences in behavior? Analyses of MRI data from nearly 50,000 individuals may suggest …

Interpretable machine learning for dementia: a systematic review

SA Martin, FJ Townend, F Barkhof… - Alzheimer's & …, 2023 - Wiley Online Library
Introduction Machine learning research into automated dementia diagnosis is becoming
increasingly popular but so far has had limited clinical impact. A key challenge is building …

[HTML][HTML] Multivariate BWAS can be replicable with moderate sample sizes

T Spisak, U Bingel, TD Wager - Nature, 2023 - nature.com
Brain-wide association studies (BWAS)—which correlate individual differences in
phenotypic traits with measures of brain structure and function—have become a dominant …

Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference

S Noble, AF Mejia, A Zalesky… - Proceedings of the …, 2022 - National Acad Sciences
Inference in neuroimaging typically occurs at the level of focal brain areas or circuits. Yet,
increasingly, well-powered studies paint a much richer picture of broad-scale effects …

[HTML][HTML] Brain structure-function coupling provides signatures for task decoding and individual fingerprinting

A Griffa, E Amico, R Liégeois, D Van De Ville, MG Preti - NeuroImage, 2022 - Elsevier
Brain signatures of functional activity have shown promising results in both decoding brain
states, meaning distinguishing between different tasks, and fingerprinting, that is identifying …

[HTML][HTML] The expanding horizons of network neuroscience: From description to prediction and control

P Srivastava, P Fotiadis, L Parkes, DS Bassett - NeuroImage, 2022 - Elsevier
The field of network neuroscience has emerged as a natural framework for the study of the
brain and has been increasingly applied across divergent problems in neuroscience. From a …

Functional connectome–based predictive modeling in autism

C Horien, DL Floris, AS Greene, S Noble, M Rolison… - Biological …, 2022 - Elsevier
Autism is a heterogeneous neurodevelopmental condition, and functional magnetic
resonance imaging–based studies have helped advance our understanding of its effects on …

[HTML][HTML] Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development

E Dhamala, LQR Ooi, J Chen, R Kong, KM Anderson… - NeuroImage, 2022 - Elsevier
Individual differences in brain anatomy can be used to predict variations in cognitive ability.
Most studies to date have focused on broad population-level trends, but the extent to which …

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 …