Richard N. Henson

The paper introduces a longitudinal neuroimaging dataset of Alzheimer's disease pathology, including multimodal data from patients and controls, to identify and validate novel biomarkers.

This study examines how cortical thickness and surface area contribute to cognitive ageing using longitudinal data from multiple cohorts, finding thickness declines more steeply and is more strongly linked to cognitive change.

The paper compares longitudinal and cross-sectional effects of age on MEG power spectra parameters, showing that longitudinal data better capture age-related changes in brain function.

HeteroRC improves neural decoding by capturing nonlinear and non-phase-locked dynamics, outperforming linear methods and revealing latent neural representations in EEG data.

This study examines how brain volume differences in adults are stable from young adulthood or change with age, using MRI data from 8,311 individuals.

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

The paper identifies latent factors underlying white matter metrics using MRI data from a cohort of healthy adults and links these factors to cardiovascular health and cognitive performance.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

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.

The paper examines brain activity and cognitive performance in older adults during a problem-solving task, finding increased cuneal cortex activity with age and performance, suggesting functional compensation for fluid intelligence.

This study assesses the reliability of structural brain change in cognitively healthy adults over time, finding that longer follow-up periods significantly improve reliability compared to increasing observation frequency.

This study compares multi gradient echo and multi band fMRI protocols during a semantic task, finding multi-band improves activation detection and decoding, while multi-echo enhances sensitivity in susceptibility-prone regions.

This study evaluates hemodynamic models of the BOLD response across the adult lifespan, finding that three-parameter models and biophysical models like HDM capture age-related changes effectively.

The paper investigates attentional biases to angry faces in individuals in remission from depression using functional MRI and drift diffusion modeling, finding persistent biases linked to brain activity in emotional regulation regions.

The paper shows that midlife path integration impairments predict Alzheimer's disease risk, independent of other cognitive tests.

The paper assesses mnemonic and perceptual discrimination in older adults at risk for mild cognitive impairment, finding reduced entorhinal thickness and impaired discrimination in at-risk individuals.

This paper introduces an improved MRI de-facing method that retains the nose, enhancing MEG/EEG coregistration while maintaining privacy.

This study uses dynamic causal modelling of fMRI data to investigate how face repetition affects connectivity in the ventral visual stream, finding that repetition effects are best explained by changes in between-region connections rather than local activity.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

This paper examines model-based and model-free representational connectivity analysis, highlighting scenarios where they give conflicting results and suggesting ways to address these issues.

The paper investigates the roles of the Anterior Temporal Lobe and Angular Gyrus in semantic processing using EEG data, finding distinct temporal roles as representational and connectivity hubs.

This study shows that baseline cerebral blood flow predicts multiple-demand network activity and fluid intelligence across the lifespan, with non-neuronal CBF effects confounding BOLD signals.

This study finds that adult brain age is more influenced by early life factors like birth weight and polygenic scores than by longitudinal brain decline.

This study shows cortical thickness is more linked to aging, while surface area is more linked to cognitive abilities, using brain imaging data from healthy adults.

The paper investigates whether age-related hemispheric asymmetry reduction in motor cortex reflects compensation, finding no evidence for a compensatory mechanism.

This study compares methods to correct superficial bias in 7T Gradient-Echo fMRI data and finds that ratio of ROI means and Deming regression are most effective.

The paper investigates age-related changes in the ipsilateral M1 BOLD response using dynamic causal modelling on fMRI data from the Cam-CAN dataset, finding increased positive connectivity from SMA and PMd with age.

This study examines the functional specialization of the medial temporal lobes in recognition memory by comparing the effects of hippocampal and parahippocampal damage in a patient with a perirhinal lesion.

The paper examines how education and income relate to brain and cognitive differences across European and US cohorts, finding heterogeneous effects and stronger associations in US samples.

This study uses MEG data to test two Bayesian models of spoken word recognition, finding support for predictive-selection theories over competitive-selection theories.