Micah Allen

This paper introduces Embodied Dynamic Causal Modelling to estimate effective connectivity across the brain-heart axis using multimodal data from an auditory Go/No-Go task.

This study links cortical microstructural features to individual differences in exploration-exploitation decision-making strategies using a gamified task and quantitative MRI.

The paper investigates body-wandering during rest, finding it linked to negative affect, autonomic arousal, and reduced social thoughts, while correlating with lower ADHD and depression symptoms.

This study identifies distinct microstructural brain correlates of learning rate and learning noise in reward-based decision-making using computational modeling and quantitative MRI.

This paper introduces hierarchical Bayesian models for cardiac and respiratory interoceptive psychophysics to estimate sensitivity, bias, and precision with fewer trials or participants.

The paper identifies brain microstructural correlates of individual differences in respiratory interoception using imaging and psychophysical models in a human sample.

The paper investigates gastric-brain coupling as a marker of mental health using machine learning in 243 participants, finding increased fronto-parietal coupling correlates with worse mental health outcomes.

The paper investigates how respiratory cycles influence perceptual and affective decision-making by showing inspiration accelerates responses and biases emotional categorization.

This study investigates how beta-blockers affect cardiac and respiratory interoception using computational modeling, finding differential impacts on perceptual sensitivity and metacognition.

This study investigates how the brain processes multi-feature prediction errors across different cortical levels using EEG and finds supramodal and modality-specific neural responses.

ggrain provides an R package for creating raincloud plots, combining dot, box, and violin plots for comprehensive data visualization.

This paper introduces a 2D-TGC protocol to assess individual thermal sensitivity to the thermal grill illusion, showing that TGI can be thresholded adaptively and varies in temperature combinations and perceived intensity.

The paper applies contrast enhancement principles to thermosensation, showing that thermal contrast predicts paradoxical heat sensation.

This study shows that uncertainty in thermosensory expectations enhances the perception of pain in the thermal grill illusion through predictive coding mechanisms.

The paper uses neuroimaging data from the UK Biobank to analyze functional connectivity between interoceptive brain regions and links it to health-related domains using canonical correlation analysis.

This paper introduces a formal model of cardiac active inference to explain how cardiac signals influence exteroceptive perception and confidence, and demonstrates its implications for fear perception and physiological reactivity.

The paper investigates how sensory precision affects confidence in decision-making, finding systematic under-confidence in low-precision stimuli and linking it to neural and physiological factors.

This paper introduces an automated method to measure respiratory interoception and metacognition using a computer-controlled apparatus.

The paper introduces a psychophysical task to measure cardiac interoceptive beliefs and finds they are biased, less precise, and linked to poorer metacognitive insight.

The paper introduces a task and analysis procedure to quantify breathing-related interoception dimensions using simulated and empirical data.

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

This study investigates how stimulus valence and arousal affect memory performance and metamemory, finding that negative valence reduces memory and confidence, and influences cardiac activity during recognition.

The paper examines the role of the default mode network (DMN) in off-task thought by analyzing neural activity and self-reported experiences, finding no strong association with self or social content but suggesting a role in representing ongoing thought.

The paper uses quantitative MRI to map microstructural differences in young adult cortex, finding age-related increases in myelin markers and regional variations in tissue composition.

This study shows that compulsivity is linked to reduced metacognitive ability and slower perceptual decision making.

This study links metacognitive ability to specific brain microstructural features in the prefrontal cortex and hippocampus using high-resolution neuroimaging.