Linking interindividual variability in brain structure to behaviour
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 …
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
Background The Hierarchical Taxonomy of Psychopathology (HiTOP) is a classification
system that seeks to organize psychopathology using quantitative evidence–yet the current …
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
How individual differences in brain network organization track behavioral variability is a
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
Local molecular and global connectomic contributions to cross-disorder cortical abnormalities
Numerous brain disorders demonstrate structural brain abnormalities, which are thought to
arise from molecular perturbations or connectome miswiring. The unique and shared …
arise from molecular perturbations or connectome miswiring. The unique and shared …
Individual-specific areal-level parcellations improve functional connectivity prediction of behavior
Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …
individual-specific cortical parcellations. We have previously developed a multi-session …
Sensory-motor cortices shape functional connectivity dynamics in the human brain
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 …
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
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 …
(DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their …
Modern views of machine learning for precision psychiatry
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 …
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
Canonical correlation analysis (CCA) and partial least squares (PLS) are powerful
multivariate methods for capturing associations across 2 modalities of data (eg, brain and …
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
A fundamental goal across the neurosciences is the characterization of relationships linking
brain anatomy, functioning, and behavior. Although various MRI modalities have been …
brain anatomy, functioning, and behavior. Although various MRI modalities have been …