Rosalyn Moran

Deep learning super-resolution of paediatric ultra-low-field MRI without paired high-field scans

This study develops a deep learning model to enhance ultra-low-field MRI scans to near high-field resolution without paired high-field data, improving image quality and accessibility.

Dopamine and serotonin transients predict depressive symptom relief following deep brain stimulation of human subcallosal cingulate cortex

This paper shows that dopamine and serotonin changes during deep brain stimulation predict symptom relief in treatment-resistant depression.

Ultra-low-field brain MRI morphometry: test-retest reliability and correspondence to high-field MRI

This study evaluates the reliability and correspondence of ultra-low-field MRI morphometry to high-field MRI, showing high reliability and correspondence across scan resolutions and contrasts.

Ultra-low-field paediatric MRI in low- and middle-income countries: super-resolution using a multi-orientation U-Net

This paper develops a deep learning model to enhance ultra-low-field MRI scans for pediatric neurodevelopmental research, achieving better reconstruction of brain structures than existing methods.

The impact of heterogeneous spatial autocorrelation on comparisons of brain maps

This paper shows how heterogeneous spatial autocorrelation affects brain map comparisons and introduces a Bayesian spatial regression approach for valid statistical inference.

Brain signatures of chronic gut inflammation

This study examines how chronic gut inflammation in IBD affects brain dynamics using EEG, finding altered brain states and connectivity patterns in CD and UC patients.

Sub-second Dopamine Signals during Risky Decision-Making in Patients with Impulse Control Disorder

This study measures sub-second dopamine signaling in patients with and without impulse control disorder during risky decision-making, finding increased risky behavior and exaggerated dopamine responses in those with ICD.

Oxytocin modulates neurocomputational mechanisms underlying prosocial reinforcement learning

This study shows that oxytocin modulates prediction error encoding in the midbrain-sgACC pathway during prosocial learning, without affecting self-oriented learning.

Estimating anisotropy directly via neural timeseries

This paper introduces a method to estimate anisotropy from neural timeseries using a generalized Lagrangian model and applies it to murine calcium imaging data.

Simultaneous Brain, Brainstem and Spinal Cord pharmacological-fMRI reveals endogenous opioid network interactions mediating attentional analgesia

The paper uses pharmacological-fMRI to show that attentional analgesia in humans is mediated by opioidergic pathways from ACC to PAG and RVM, which suppress spinal nociceptive activity.

Microbiota links to neural dynamics supporting threat processing

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

Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses

This paper uses dynamic causal models to infer muscarinic receptor function from EEG data in rats, showing graded effects and predictive validity across pharmacological conditions.

Parallel cortical-brainstem pathways to attentional analgesia

The paper replicates and extends previous findings on attentional analgesia by identifying two parallel cortico-brainstem pathways modulated by attentional demand.

Generative modelling of the thalamo-cortical circuit mechanisms underlying the neurophysiological effects of ketamine

This study uses a thalamo-cortical model to show ketamine alters synaptic connectivity, increasing gamma and reducing alpha oscillations in cortical recordings.

Intracranial-EEG evidence for medial temporal pole driving amygdala activity induced by multi-modal emotional stimuli

The paper uses intracranial EEG to show that the temporal pole drives amygdala activity in response to emotional stimuli through theta-alpha oscillations modulating high gamma responses.

Random burst sensing of neurotransmitters

This paper introduces a random sensing method for detecting neurotransmitters and pH, achieving fast, high-quality estimates with potential for significant speedups.

In vivo assay of cortical microcircuitry in frontotemporal dementia: a platform for experimental medicine studies

This paper uses machine learning to analyze magnetoencephalography data from bvFTD patients to identify pathophysiological changes and improve case-control classification.

Locus Coeruleus tracking of prediction errors optimises cognitive flexibility: an Active Inference model.

This paper models the locus coeruleus (LC) and noradrenaline (NA) system using Active Inference to show that LC activity reflects prediction errors, enabling adaptive learning and cognitive flexibility.

Propofol-Induced Unresponsiveness is Associated with Impaired Feedforward Connectivity in the Cortical Hierarchy

This study shows propofol reduces evoked power and impairs feedforward connectivity in the cortical hierarchy during TMS.

Indexing sensory plasticity: Evidence for distinct Predictive Coding and Hebbian Learning mechanisms in the cerebral cortex

The paper compares Predictive Coding and Hebbian learning mechanisms in sensory plasticity using MMN and visual LTP paradigms, finding distinct network modulations and genetic influences.