Christian F. Beckmann

ACPC-MAP: A protocol for manually aligning structural T1-weighted Magnetic Resonance Images to the Anterior Commissure - Posterior Commissure plane according to clinical standards.

The paper introduces a standardized protocol for manually aligning structural MR images to the clinically used Schaltenbrand AC-PC plane to improve anatomical consistency and validation of automated methods.

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.

Population-wide variation in connectopic organization of cerebral language hubs

The paper uses connectopic mapping on UK Biobank data to analyze variation in language-related brain connectivity and identifies genetic loci associated with these patterns.

Integrating brain structure and function for the neurobiology and genetics of language

This study integrates brain structure and function to identify genetic loci associated with language-related brain components using UK Biobank data.

Linking White-Matter Development to Clinical Variation in Autism: Longitudinal Normative Modelling of FA in the EU-AIMS LEAP Cohort

This study uses longitudinal normative modelling of white matter fractional anisotropy in the EU-AIMS LEAP cohort to show individual deviations in white matter development are linked to clinical variation in autism, with significant cross-sectional and longitudinal brain-behaviour associations.

LEAP-InovAND a multiscale resource to explore genetics, brain imaging and clinical data in autism

The paper introduces a multiscale resource integrating genetics, brain imaging, and clinical data from autistic individuals and their relatives to explore genetic and neurobiological patterns in autism.

Independent Filter Analysis for Group Discrimination in fMRI

This paper introduces Independent Filter Analysis (IFA), a supervised method for group discrimination in fMRI that outperforms traditional ICA in detecting group differences.

Lifespan Normative Models of White Matter Fractional Anisotropy: Applications to Early Psychosis

This paper develops lifespan normative models of white matter fractional anisotropy using diffusion MRI data and applies them to identify white matter deviations in early psychosis.

Using extreme value statistics to reconceptualize psychopathology as extreme deviations from a normative reference model

This paper introduces a framework using extreme value statistics to model extreme deviations from normative neuroimaging models, demonstrating its application to the UK Biobank dataset for risk estimation and anomaly detection.

Weak brain-mental health associations in population neuroimaging tasks reflect a signal evocation bottleneck

The paper investigates why large-scale neuroimaging tasks yield weak brain-mental health associations, finding a signal evocation bottleneck in common fMRI tasks.

The Art of Not Knowing: Accommodating Structured Missingness in Biomedical Research

This paper addresses structured missingness in biomedical data by introducing a hierarchical imputation framework and advocating for alternative evaluation metrics.

Independent Polygenic Component Scores Link Multivariate Brain Imaging Genetics to Diverse Phenotypes

This paper introduces polygenic component scores derived from genomICA components to link brain imaging genetics to diverse phenotypes, showing they predict physical and cognitive traits but not mental health outcomes.

The Neural Architecture of Dream Recall Frequency: Insights from Interindividual Variations in Brain Structure and Function

This study investigates the neural correlates of dream recall frequency using multimodal neuroimaging in 258 individuals, finding associations between DRF and brain structure and function.

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.

The Genetic Architecture of Brain Structure and Function: A Data-Driven Interpretation Using genomICA

The paper applies genomICA to GWAS data from brain MRI phenotypes to identify genetic components associated with neurobiological processes and behaviors.

Using normative models pre-trained on cross-sectional data to evaluate intra-individual longitudinal changes in neuroimaging data

This paper introduces a framework using normative models to assess intra-individual longitudinal changes in neuroimaging data, revealing significant grey matter normalization in schizophrenia patients over time.

Social dysfunction relates to altered default mode network functional integrity across neuropsychiatric disorders: A replication and generalization study

This study replicates and extends findings linking social dysfunction to reduced default mode network connectivity in schizophrenia, Alzheimer's disease, and major depressive disorder.

Normative trajectories of R1, R2* and magnetic susceptibility in basal ganglia on healthy ageing

This study establishes normative trajectories of R1, R2*, and magnetic susceptibility in the basal ganglia across healthy ageing using Gaussian Process Regression.

Concurrent large-scale brain dynamics during the emotional face matching task and their relation to behavior and mental health

The paper uses unsupervised machine learning to analyze fMRI data from an emotional face matching task, identifying large-scale brain networks and their relation to cognition and mental health.

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.

Unpacking the functional heterogeneity of the Emotional Face Matching Task: a normative modelling approach

The paper uses normative modeling to analyze task-evoked brain activation in the Emotional Face Matching Task, revealing individual differences and multivariate associations with mental health symptoms.

Objective QC for diffusion MRI data: artefact detection using normative modelling

This paper introduces a normative modelling approach to detect diffusion MRI artefacts and processing errors using UK Biobank data, outperforming traditional visual and quantitative QC methods.

Non-Gaussian Normative Modelling With Hierarchical Bayesian Regression

This paper extends hierarchical Bayesian regression to model non-Gaussian data with skewness and kurtosis, showing improved performance on neuroimaging datasets.

Estimating cortical thickness trajectories in children across different scanners using transfer learning from normative models

This paper uses transfer learning from normative models to estimate cortical thickness trajectories in children across different scanners, showing it can detect pre-term morphological heterogeneity.

Principal and Independent Genomic Components of Brain Structure and Function

This paper introduces genomic principal and independent component analysis to decompose GWAS statistics of brain traits, showing improved reproducibility and interpretability of genetic effects.

The effect of long-term sleep disruption on the brain - looking beyond amyloid

This study investigates the effects of long-term sleep disruption on brain biomarkers in maritime pilots and finds no evidence of preclinical Alzheimer's disease markers compared to healthy controls.

Unraveling the Link between CNVs, General Cognition, and Individual Neuroimaging Deviation Scores from a Reference Cohort

This study maps individual brain deviation scores in individuals with pathogenic CNVs using normative modeling and shows correlations between negative deviations and cognitive function.

Linking functional and structural brain organisation with behaviour in healthy adults

The paper uses multimodal MRI data to explore brain-behavior relationships, finding some components linked to intoxication and working memory but no significant shared variance between structural and functional organisation.

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.

Gradient organisation of functional connectivity within resting state networks is present from 25 weeks gestation in the human fetal brain

The paper shows that functional connectivity gradients in resting state networks are present in the human fetal brain from 25 weeks gestation, with spatial consistency increasing in primary sensory and motor networks.