Linking interindividual variability in brain structure to behaviour

S Genon, SB Eickhoff, S Kharabian - Nature Reviews Neuroscience, 2022 - nature.com
What are the brain structural correlates of interindividual differences in behaviour? More
than a decade ago, advances in structural MRI opened promising new avenues to address …

Meta-analysis of structural evidence for the Hierarchical Taxonomy of Psychopathology (HiTOP) model

WR Ringwald, MK Forbes, AGC Wright - Psychological medicine, 2023 - cambridge.org
Background The Hierarchical Taxonomy of Psychopathology (HiTOP) is a classification
system that seeks to organize psychopathology using quantitative evidence–yet the current …

[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 …

Local molecular and global connectomic contributions to cross-disorder cortical abnormalities

JY Hansen, G Shafiei, JW Vogel, K Smart… - Nature …, 2022 - nature.com
Numerous brain disorders demonstrate structural brain abnormalities, which are thought to
arise from molecular perturbations or connectome miswiring. The unique and shared …

Individual-specific areal-level parcellations improve functional connectivity prediction of behavior

R Kong, Q Yang, E Gordon, A Xue, X Yan… - Cerebral …, 2021 - academic.oup.com
Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …

Sensory-motor cortices shape functional connectivity dynamics in the human brain

X Kong, R Kong, C Orban, P Wang, S Zhang… - Nature …, 2021 - nature.com
Large-scale biophysical circuit models provide mechanistic insights into the micro-scale and
macro-scale properties of brain organization that shape complex patterns of spontaneous …

[HTML][HTML] Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics

T He, R Kong, AJ Holmes, M Nguyen, MR Sabuncu… - NeuroImage, 2020 - Elsevier
There is significant interest in the development and application of deep neural networks
(DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their …

Modern views of machine learning for precision psychiatry

ZS Chen, IR Galatzer-Levy, B Bigio, C Nasca, Y Zhang - Patterns, 2022 - cell.com
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …

[HTML][HTML] Canonical correlation analysis and partial least squares for identifying brain–behavior associations: A tutorial and a comparative study

A Mihalik, J Chapman, RA Adams, NR Winter… - Biological Psychiatry …, 2022 - Elsevier
Canonical correlation analysis (CCA) and partial least squares (PLS) are powerful
multivariate methods for capturing associations across 2 modalities of data (eg, brain and …

[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 …