Paul Charles Fletcher

This paper uses predictive coding to model delusions, showing that reorganisation of generative models under atypical conditions leads to persistent, impervious beliefs.

This study investigates how expectation influences hedonic experiences and midbrain responses to sweet flavors, showing that expectations modulate neural responses and perceived pleasantness of sugar and non-nutritive sweeteners.

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

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.

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.

The paper introduces the HED model to characterize PPG waveforms, showing it captures physiological changes with high precision in a pharmacological study.

The paper examines how stress affects proactive and reactive inhibition in bulimia nervosa and anorexia nervosa binge-purging subtype using fMRI and behavioral tasks.

This study investigates prediction-based sensory and motor processes in autism, finding no deficit in low-level sensorimotor predictions.

The paper investigates how prior beliefs influence perception in early psychosis, finding differences in reliance on cognitive and perceptual priors between prodromal, psychotic, and control groups.

The paper assesses reinforcement learning deficits in psychosis risk groups and finds they are not linked to schizophrenia polygenic risk in the general population.

The paper presents a 3D laminar atlas of the human cerebral cortex using a convolutional neural network and uses it to analyze thickness gradients in sensory and motor cortices.

The paper investigates how precision-weighting of prediction error signals in the superior frontal cortex affects learning, is influenced by dopamine, and is impaired in psychosis.

This study examines how age and BMI interact to affect cortical thickness in adolescents and adults, finding differing effects across age groups.

This study shows early psychosis patients jump to conclusions due to perceiving higher information sampling costs, not due to noisy decision making.

This study investigates salience processing abnormalities in first episode psychosis patients using fMRI, finding reduced neural signaling in midbrain and cortical regions for various salience types.

This study investigates how dopamine modulates the precision of cortical unsigned prediction errors and its impact on learning.

This study examines reward prediction error signalling in individuals with first episode psychosis and those at risk for psychosis, finding abnormal midbrain and prefrontal cortex activation compared to healthy controls.

The paper investigates the genetic correlation between BMI and cortical myelination, finding that shared genetic factors explain most of the phenotypic correlation.