Ben J. Harrison

This study uses fMRI and dynamic causal modelling to show the habenula modulates midbrain and cortical pathways with both inhibitory and excitatory effects during negative reward prediction error tasks.

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

This study uses a new method to examine how local brain connectivity differs in adolescents and young adults with depression compared to healthy controls.

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

This study identifies altered effective connectivity in the default mode network during reflected self-appraisal in social anxiety disorder using fMRI and dynamic causal modeling.

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

This study shows that long-wavelength light reduces negative effects of dim light at night in Cntnap2 mice, improving activity rhythms and autistic behaviors.

This study uses fMRI to compare brain activity during safety learning via conditioned inhibition and standard safety signals, finding distinct cortico-striatal circuits for each.

This study identifies a thalamo-centric neural signature in the mediodorsal thalamus involved in cognitive restructuring of negative self-beliefs using fMRI and Dynamic Causal Modelling.

This study investigates the role of subcortical structures in modulating the default mode network in humans using fMRI.

This study investigates how gut microbiota influences neural dynamics in threat processing by combining neuroimaging, 16S rRNA profiling, and computational modeling in healthy participants.

The paper analyzes cortical thickness trajectories in 17,075 individuals to show peak thickness in childhood, steep decline in early adulthood, and slower decline later, with notable exceptions and significant inter-individual variability.

The paper analyzes sex differences in brain structure variability across the lifespan using a large dataset, finding greater male variability in subcortical volumes, cortical surface area, and thickness in most regions.

This paper examines brain aging in major depressive disorder (MDD) using a large dataset, finding that MDD patients show increased brain age differences compared to controls.

This study analyzes subcortical volume changes across the lifespan using MRI data from 18,605 individuals, finding age-related declines in some structures and increases in others.

The paper identifies neurovegetative symptom subtypes in young people with MDD and finds structural brain correlates in the anterior insula.

The paper examines how impulsivity and compulsivity dimensions in OCD and GD correlate with CSTC circuit connectivity, finding continuous distributions and shared connectivity patterns across disorders.

The paper examines the relationship between functional connectivity of corticostriatal circuits and subclinical psychosis-like experiences in a community sample.

The paper identifies a common neural network underlying state, trait, and pathological anxiety using fMRI data across multiple datasets.