[PDF][PDF] 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] Early social adversity, altered brain functional connectivity, and mental health

NE Holz, O Berhe, S Sacu, E Schwarz, J Tesarz… - Biological …, 2023 - Elsevier
Early adverse environmental exposures during brain development are widespread risk
factors for the onset of severe mental disorders and strong and consistent predictors of …

Evaluation of brain-body health in individuals with common neuropsychiatric disorders

YE Tian, MA Di Biase, PE Mosley, MK Lupton… - JAMA …, 2023 - jamanetwork.com
Importance Physical health and chronic medical comorbidities are underestimated,
inadequately treated, and often overlooked in psychiatry. A multiorgan, systemwide …

Evidence for embracing normative modeling

S Rutherford, P Barkema, IF Tso, C Sripada… - Elife, 2023 - elifesciences.org
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 …

Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression

SM Kia, H Huijsdens, S Rutherford, A de Boer, R Dinga… - Plos one, 2022 - journals.plos.org
Clinical neuroimaging data availability has grown substantially in the last decade, providing
the potential for studying heterogeneity in clinical cohorts on a previously unprecedented …

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 …

Revealing individual neuroanatomical heterogeneity in Alzheimer disease using neuroanatomical normative modeling

S Verdi, SM Kia, KXX Yong, D Tosun, JM Schott… - Neurology, 2023 - AAN Enterprises
Background and Objectives Alzheimer disease (AD) is highly heterogeneous, with marked
individual differences in clinical presentation and neurobiology. To explore this, we used …

Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders

A Segal, L Parkes, K Aquino, SM Kia, T Wolfers… - Nature …, 2023 - nature.com
The substantial individual heterogeneity that characterizes people with mental illness is
often ignored by classical case–control research, which relies on group mean comparisons …

[HTML][HTML] Harmonized-multinational qeeg norms (harmnqeeg)

M Li, Y Wang, C Lopez-Naranjo, S Hu, RCG Reyes… - NeuroImage, 2022 - Elsevier
This paper extends frequency domain quantitative electroencephalography (qEEG) methods
pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked …

Poverty, Brain Development, and Mental Health: Progress, Challenges, and Paths Forward

CS Monk, FA Hardi - Annual Review of Developmental …, 2023 - annualreviews.org
Poverty is associated with changes in brain development and elevates the risk for
psychopathology in childhood, adolescence, and adulthood. Although the field is rapidly …