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 …

Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology

J Tiego, EA Martin, CG DeYoung, K Hagan… - Nature mental …, 2023 - nature.com
Our capacity to measure diverse aspects of human biology has developed rapidly in the past
decades, but the rate at which these techniques have generated insights into the biological …

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 …

Charting brain growth and aging at high spatial precision

S Rutherford, C Fraza, R Dinga, SM Kia, T Wolfers… - elife, 2022 - elifesciences.org
Defining reference models for population variation, and the ability to study individual
deviations is essential for understanding inter-individual variability and its relation to the …

[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 …

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] Warped Bayesian linear regression for normative modelling of big data

CJ Fraza, R Dinga, CF Beckmann, AF Marquand - NeuroImage, 2021 - Elsevier
Normative modelling is becoming more popular in neuroimaging due to its ability to make
predictions of deviation from a normal trajectory at the level of individual participants. It …

Interindividual differences in cortical thickness and their genomic underpinnings in autism spectrum disorder

C Ecker, CM Pretzsch, A Bletsch… - American Journal of …, 2022 - Am Psychiatric Assoc
Objective: Autism spectrum disorder (ASD) is accompanied by highly individualized
neuroanatomical deviations that potentially map onto distinct genotypes and clinical …

[HTML][HTML] Chinese Color Nest Project: An accelerated longitudinal brain-mind cohort

S Liu, YS Wang, Q Zhang, Q Zhou, LZ Cao… - Developmental …, 2021 - Elsevier
Abstract The ongoing Chinese Color Nest Project (CCNP) was established to create
normative charts for brain structure and function across the human lifespan, and link age …

Current approaches in computational psychiatry for the data-driven identification of brain-based subtypes

LR Brucar, E Feczko, DA Fair, A Zilverstand - Biological psychiatry, 2023 - Elsevier
The ability of our current psychiatric nosology to accurately delineate clinical populations
and inform effective treatment plans has reached a critical point with only moderately …