Conceptualizing mental disorders as deviations from normative functioning

AF Marquand, SM Kia, M Zabihi, T Wolfers… - Molecular …, 2019 - nature.com
Normative models are a class of emerging statistical techniques useful for understanding the
heterogeneous biology underlying psychiatric disorders at the level of the individual …

The normative modeling framework for computational psychiatry

S Rutherford, SM Kia, T Wolfers, C Fraza, M Zabihi… - Nature protocols, 2022 - nature.com
Normative modeling is an emerging and innovative framework for mapping individual
differences at the level of a single subject or observation in relation to a reference model. It …

Aerobic exercise alters brain function and structure in Parkinson's disease: a randomized controlled trial

ME Johansson, IGM Cameron… - Annals of …, 2022 - Wiley Online Library
Objective Randomized clinical trials have shown that aerobic exercise attenuates motor
symptom progression in Parkinson's disease, but the underlying neural mechanisms are …

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 …

Mapping the heterogeneous phenotype of schizophrenia and bipolar disorder using normative models

T Wolfers, NT Doan, T Kaufmann, D Alnæs… - JAMA …, 2018 - jamanetwork.com
Importance Schizophrenia and bipolar disorder are severe and complex brain disorders
characterized by substantial clinical and biological heterogeneity. However, case-control …

Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography

Y Zhang, W Wu, RT Toll, S Naparstek… - Nature biomedical …, 2021 - nature.com
The understanding and treatment of psychiatric disorders, which are known to be
neurobiologically and clinically heterogeneous, could benefit from the data-driven …

[HTML][HTML] NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman… - NeuroImage: Clinical, 2020 - Elsevier
Many mental illnesses share overlapping or similar clinical symptoms, confounding the
diagnosis. It is important to systematically characterize the degree to which unique and …

Using two-step cluster analysis and latent class cluster analysis to classify the cognitive heterogeneity of cross-diagnostic psychiatric inpatients

M Benassi, S Garofalo, F Ambrosini… - Frontiers in …, 2020 - frontiersin.org
The heterogeneity of cognitive profiles among psychiatric patients has been reported to
carry significant clinical information. However, how to best characterize such cognitive …

The WPA-lancet psychiatry commission on the future of psychiatry

D Bhugra, A Tasman, S Pathare, S Priebe… - The Lancet …, 2017 - thelancet.com
Background This Commission addresses several priority areas for psychiatry over the next
decade, and into the 21st century. These represent challenges and opportunities for the …

[HTML][HTML] Classification and prediction of brain disorders using functional connectivity: promising but challenging

Y Du, Z Fu, VD Calhoun - Frontiers in neuroscience, 2018 - frontiersin.org
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …