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 …
[HTML][HTML] Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …
technique that enables in vivo reconstruction of the brain's white matter connections at …
Trusted multi-view classification with dynamic evidential fusion
Existing multi-view classification algorithms focus on promoting accuracy by exploiting
different views, typically integrating them into common representations for follow-up tasks …
different views, typically integrating them into common representations for follow-up tasks …
Evidence for embracing normative modeling
In this work, we expand the normative model repository introduced in Rutherford et al.,
2022a to include normative models charting lifespan trajectories of structural surface area …
2022a to include normative models charting lifespan trajectories of structural surface area …
Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: methods and promises
The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …
using traditional univariate brain mapping approaches to multivariate predictive models …
A technical review of canonical correlation analysis for neuroscience applications
Collecting comprehensive data sets of the same subject has become a standard in
neuroscience research and uncovering multivariate relationships among collected data sets …
neuroscience research and uncovering multivariate relationships among collected data sets …
[HTML][HTML] Cognitive dysfunction in schizophrenia: an expert group paper on the current state of the art
Cognitive impairment in schizophrenia represents one of the main obstacles to clinical and
functional recovery. This expert group paper brings together experts in schizophrenia …
functional recovery. This expert group paper brings together experts in schizophrenia …
[HTML][HTML] Deep neural networks in psychiatry
Abstract Machine and deep learning methods, today's core of artificial intelligence, have
been applied with increasing success and impact in many commercial and research …
been applied with increasing success and impact in many commercial and research …
Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
[HTML][HTML] Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data
Background Current fMRI-based classification approaches mostly use functional
connectivity or spatial maps as input, instead of exploring the dynamic time courses directly …
connectivity or spatial maps as input, instead of exploring the dynamic time courses directly …