Thomas Wolfers

Latent Representations of Early Brain Development: A Multivariate Normative Model of Brain Structure and Behaviour

This paper uses a semi-supervised autoencoder to create multivariate normative models of brain structure and behaviour in children, showing associations between structural deviations and cognitive/behavioural differences.

Protocol Update: The Normative Modelling Paradigm for Computational Psychiatry

This paper updates the normative modelling protocol for computational psychiatry, including new methods, software tools, and models for neuroimaging data analysis.

Lamellar Normative Modelling of the Hippocampus Across the Human Lifespan

This paper establishes a normative model of hippocampal geometry across the lifespan using data from 27,000 individuals, revealing age-related changes and disease-specific alterations.

A normative reference for large-scale human brain dynamics across the lifespan

The paper establishes a normative reference for large-scale human brain dynamics using resting-state fMRI data from over 10,000 individuals, revealing systematic reorganization across development and ageing and disorder-specific deviations in mental health conditions.

Predicting Developmental Norms from Baseline Cortical Thickness in Longitudinal Studies

This paper develops and compares Baseline-Conditioned Norms (B-Norms) and Cross-Sectional Norms (C-Norms) for predicting longitudinal cortical thickness changes, finding B-Norms provide better fits and detect pubertal changes more effectively.

Return of the GEDAI: Unsupervised EEG Denoising based on Leadfield Filtering

GEDAI improves EEG denoising by removing artifacts without clean references, outperforming existing methods in simulations and enhancing neurobehavioral predictions.

Cerebellar growth is associated with domain-specific cerebral maturation and socio-linguistic behavioral outcomes

This study maps cerebellar volumetric growth from infancy to young adulthood and links it to cerebral development and socio-linguistic behaviors.

MEGaNorm: Normative Modeling of MEG Brain Oscillations Across the Human Lifespan

MEGaNorm models lifespan trajectories of resting-state MEG brain oscillations, revealing disease-related abnormalities in Parkinson's disease patients.

Mapping Cerebellar Morphology in 15q11.2 CNV Carriers Using Normative Modeling

The paper uses normative modeling to assess cerebellar morphology differences in 15q11.2 CNV carriers compared to non-carriers, finding modest and individualized effects.

Cross-sectional brain age assessments are limited in predicting future brain change

This study shows brain age metrics from MRI do not reliably predict future brain changes but highlight modality-specific differences as potential cross-sectional markers.

Multiscale heterogeneity of white matter morphometry in psychiatric disorders

The paper examines white matter volume deviations in psychiatric disorders using normative modeling, finding heterogeneous patterns with some aggregation in autism and schizophrenia.

Vulnerability to memory decline in aging. A mega-analysis of structural brain change.

This study investigates the relationship between brain atrophy and memory decline in aging using longitudinal data, finding a nonlinear association that intensifies with age and is influenced by APOE ε4 carriership.

Mapping Cerebellar Anatomical Heterogeneity in Mental and Neurological Illnesses

The paper maps cerebellar anatomical variations across the lifespan and clinical illnesses, revealing heterogeneity in conditions like autism, schizophrenia, and Alzheimer's.

Fine-grained topographic organization within somatosensory cortex during resting-state and emotional face-matching task and its association with ASD traits

The paper maps functional connectivity patterns in the somatosensory cortex during rest and emotional tasks in ASD and neurotypical individuals, linking them to adaptive functioning skills.

Genetic architecture of brain age and its casual relations with brain and mental disorders

The paper estimates brain age gap (BAG) using neural networks and identifies eight genomic regions associated with BAG, finding causal relationships with Alzheimer's and bipolar disorder but not Parkinson's, depression, or schizophrenia.

Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models

This paper develops a hierarchical Bayesian model to account for site effects in neuroimaging data, showing improved predictive performance compared to harmonization techniques.

Charting Brain Growth and Aging at High Spatial Precision

This work develops normative models of brain growth and aging using neuroimaging data to quantify variability across disorders and improve case-control inferences.

The Normative Modeling Framework for Computational Psychiatry

This paper introduces a standardized protocol for normative modeling in computational psychiatry using the PCNtoolkit, enabling analysis of biological heterogeneity without relying on case-control comparisons.

Federated Multi-Site Normative Modeling using Hierarchical Bayesian Regression

This paper introduces a federated probabilistic framework using hierarchical Bayesian regression for multi-site normative modeling of neuroimaging data, showing improved accuracy and adaptability.

Fast qualitY conTrol meThod foR derIved diffUsion Metrics (YTTRIUM) in big data analysis: UK Biobank 18608 example

The paper introduces YTTRIUM, a QC method for diffusion MRI data, showing it improves brain age prediction accuracy in UK Biobank data.

Explanatory latent representation of heterogeneous spatial maps of task-fMRI in large-scale datasets

The paper learns interpretable latent representations of task-fMRI data from large-scale datasets, capturing demographic and behavioral variability through a three-dimensional autoencoder and normative modeling.

Phenotyping the preterm brain: characterising individual deviations from normative volumetric development in two large infant cohorts

The paper develops normative brain volumetric development curves for term-born infants and compares preterm infants to these curves, identifying individual deviations linked to clinical factors and neurocognitive outcomes.

Atypical brain asymmetry in autism - a candidate for clinically meaningful stratification

The paper identifies atypical brain asymmetry in autism as a potential neurophenotype for stratification, showing individualized patterns linked to symptom severity and language delay.

Attenuated Anticipation of Social and Monetary Rewards in Autism Spectrum Disorders

This study investigates reward processing in autism spectrum disorder (ASD) and finds generalized hypoactivity in the ventral striatum during anticipation of both social and monetary rewards.

Predicting cognitive and mental health traits and their polygenic architecture using large-scale brain connectomics

This study uses machine learning on brain connectomics data to predict cognitive and mental health traits and their polygenic scores in a large population sample.

Inter-individual differences in human brain structure and morphometry link to population variation in demographics and behavior

The paper links inter-individual differences in human brain structure to demographic and behavioral variations using structural MRI data from a large cohort.

Dissecting the heterogeneous cortical anatomy of autism spectrum disorder using normative models

This study uses normative models to analyze cortical thickness deviations in ASD, finding individualized patterns rather than common case-control differences.