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 …

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 …

[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 …

[HTML][HTML] Deviations from normative brain white and gray matter structure are associated with psychopathology in youth

R Kjelkenes, T Wolfers, D Alnæs, LB Norbom… - Developmental …, 2022 - Elsevier
Combining imaging modalities and metrics that are sensitive to various aspects of brain
structure and maturation may help identify individuals that show deviations in relation to …

Revealing individual neuroanatomical heterogeneity in Alzheimer's disease

S Verdi, SM Kia, K Yong, D Tosun, JM Schott… - medRxiv, 2022 - medrxiv.org
Alzheimer's disease is clinically heterogeneous, in symptom profiles, progression rates and
outcomes. This clinical heterogeneity is linked to underlying neuroanatomical heterogeneity …

Examining real-world Alzheimer's disease heterogeneity using neuroanatomical normative modelling

F Loreto, S Verdi, SM Kia, A Duvnjak, H Hakeem… - medRxiv, 2022 - medrxiv.org
Alzheimer's disease (AD) has been traditionally associated with episodic memory
impairment and medial temporal lobe atrophy. However, recent literature has highlighted the …

Evidence for Embracing Normative Modeling

S Rutherford, P Barkema, IF Tso, C Sripada… - bioRxiv, 2022 - biorxiv.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 …

[PDF][PDF] PyNM: a Lightweight Python implementation of Normative Modeling

A Harvey, G Dumas - Journal of Open Source Software, 2022 - joss.theoj.org
The majority of studies in neuroimaging and psychiatry are focussed on case-control
analysis (Marquand et al., 2019). However, case-control relies on well-defined groups which …

Parsing clinical and neurobiological sources of heterogeneity in depression

K Hannon, T Easley, W Zhang, D Lew, A Sotiras… - medRxiv, 2022 - medrxiv.org
Importance Patients with depression vary from one-another in their clinical and
neurobiological presentation, yet the relationship between clinical and neurobiological …

Multiscale functional connectivity patterns of the aging brain learned from rsfMRI data of 4,259 individuals of the multi-cohort iSTAGING study

Z Zhou, D Srinivasan, H Li, A Abdulkadir, I Nasrallah… - bioRxiv, 2022 - biorxiv.org
To learn multiscale functional connectivity patterns of the aging brain, we built a brain age
prediction model of functional connectivity measures at seven scales on a large fMRI …