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 …

The challenges and prospects of brain-based prediction of behaviour

J Wu, J Li, SB Eickhoff, D Scheinost… - Nature human …, 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 …

[HTML][HTML] Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study

J Chen, A Tam, V Kebets, C Orban, LQR Ooi… - Nature …, 2022 - nature.com
How individual differences in brain network organization track behavioral variability is a
fundamental question in systems neuroscience. Recent work suggests that resting-state and …

[HTML][HTML] Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity

W Zhao, C Makowski, DJ Hagler, HP Garavan… - NeuroImage, 2023 - Elsevier
Characterizing the optimal fMRI paradigms for detecting behaviorally relevant functional
connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of …

[HTML][HTML] Machine learning prediction of cognition from functional connectivity: Are feature weights reliable?

Y Tian, A Zalesky - NeuroImage, 2021 - Elsevier
Cognitive performance can be predicted from an individual's functional brain connectivity
with modest accuracy using machine learning approaches. As yet, however, predictive …

[HTML][HTML] Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI

LQR Ooi, J Chen, S Zhang, R Kong, A Tam, J Li… - NeuroImage, 2022 - Elsevier
A fundamental goal across the neurosciences is the characterization of relationships linking
brain anatomy, functioning, and behavior. Although various MRI modalities have been …

[HTML][HTML] Person-specific and precision neuroimaging: Current methods and future directions

KJ Michon, D Khammash, M Simmonite, AM Hamlin… - NeuroImage, 2022 - Elsevier
Most neuroimaging studies of brain function analyze data in normalized space to identify
regions of common activation across participants. These studies treat interindividual …

Is it time to put rest to rest?

ES Finn - Trends in cognitive sciences, 2021 - cell.com
The so-called resting state, in which participants lie quietly with no particular inputs or
outputs, represented a paradigm shift from conventional task-based studies in human …

[HTML][HTML] Intrinsic connectivity patterns of task-defined brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and are linked to …

J Chen, VI Müller, J Dukart, F Hoffstaedter, JT Baker… - Biological …, 2021 - Elsevier
Background Despite the marked interindividual variability in the clinical presentation of
schizophrenia, the extent to which individual dimensions of psychopathology relate to the …

A brain-based general measure of attention

K Yoo, MD Rosenberg, YH Kwon, Q Lin… - Nature human …, 2022 - nature.com
Attention is central to many aspects of cognition, but there is no singular neural measure of a
person's overall attentional functioning across tasks. Here, using original data from 92 …