[HTML][HTML] Early social adversity, altered brain functional connectivity, and mental health
Early adverse environmental exposures during brain development are widespread risk
factors for the onset of severe mental disorders and strong and consistent predictors of …
factors for the onset of severe mental disorders and strong and consistent predictors of …
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 …
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 …
Evaluation of brain-body health in individuals with common neuropsychiatric disorders
Importance Physical health and chronic medical comorbidities are underestimated,
inadequately treated, and often overlooked in psychiatry. A multiorgan, systemwide …
inadequately treated, and often overlooked in psychiatry. A multiorgan, systemwide …
A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder
Importance Biological psychiatry aims to understand mental disorders in terms of altered
neurobiological pathways. However, for one of the most prevalent and disabling mental …
neurobiological pathways. However, for one of the most prevalent and disabling mental …
[HTML][HTML] Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation
R Ge, Y Yu, YX Qi, Y Fan, S Chen, C Gao… - The Lancet Digital …, 2024 - thelancet.com
The value of normative models in research and clinical practice relies on their robustness
and a systematic comparison of different modelling algorithms and parameters; however …
and a systematic comparison of different modelling algorithms and parameters; however …
Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression
Clinical neuroimaging data availability has grown substantially in the last decade, providing
the potential for studying heterogeneity in clinical cohorts on a previously unprecedented …
the potential for studying heterogeneity in clinical cohorts on a previously unprecedented …
Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders
The substantial individual heterogeneity that characterizes people with mental illness is
often ignored by classical case–control research, which relies on group mean comparisons …
often ignored by classical case–control research, which relies on group mean comparisons …
Population-wide cerebellar growth models of children and adolescents
C Gaiser, R van der Vliet, AAA de Boer… - Nature …, 2024 - nature.com
In the past, the cerebellum has been best known for its crucial role in motor function.
However, increasingly more findings highlight the importance of cerebellar contributions in …
However, increasingly more findings highlight the importance of cerebellar contributions in …
Revealing individual neuroanatomical heterogeneity in Alzheimer disease using neuroanatomical normative modeling
Background and Objectives Alzheimer disease (AD) is highly heterogeneous, with marked
individual differences in clinical presentation and neurobiology. To explore this, we used …
individual differences in clinical presentation and neurobiology. To explore this, we used …