Paul F. Sowman

Disruption of prefrontal cortex accelerates sensory anchoring but dissociates online recognition from implicit consolidation of sound sequences

This study investigates the role of the dorsolateral prefrontal cortex in auditory learning, finding it accelerates implicit anchoring of predictable sound patterns but does not affect implicit consolidation.

Listening to the room: disrupting activity of dorsolateral prefrontal cortex impairs learning of room acoustics in human listeners

This study shows that disrupting dlPFC activity impairs learning of room acoustics, revealing a reverberation 'sweet spot' for speech understanding in noisy environments.

Localized estimation of event-related neural source activity from simultaneous MEG-EEG with a recurrent neural network

This paper introduces a recurrent neural network for estimating neural sources from MEG-EEG data, showing improved performance over traditional methods.

Low-frequency hearing thresholds improve as high-frequency hearing sensitivity deteriorates between young adulthood and middle age in normally hearing people

This study shows that low-frequency hearing thresholds improve while high-frequency thresholds worsen with age in normally hearing adults.

Exploring Directed Connectivity Patterns of OPM-MEG with Multivariate Transfer Entropy

This study uses multivariate transfer entropy to analyze directed connectivity in OPM-MEG data, finding that out-degree connectivity is stronger and more hub-like than in-degree connectivity.

Neurodesk: An accessible, flexible, and portable data analysis environment for reproducible neuroimaging

Neurodesk provides a portable and reproducible neuroimaging analysis platform using software containers to enable accessible and flexible data analysis pipelines.

Localized estimation of electromagnetic sources underlying event-related fields using recurrent neural networks

This paper uses a recurrent neural network to reconstruct neural activity from MEG data, showing improved signal quality compared to existing methods.

Investigating Predictive Coding in Younger and Older Children Using MEG and a Multi-Feature Auditory Oddball Paradigm

This study uses MEG to compare predictive brain function in younger and older children during an auditory oddball task, finding larger mismatch field amplitudes in older children, particularly in the right inferior frontal gyrus.

Neural correlates of face perception modeled with a convolutional recurrent neural network

The paper develops a convolutional recurrent neural network to model ERP responses to faces and validates it with open-access and validation data.

Hearing the world differently: Examining predictive coding accounts of autism using MEG

The paper uses MEG to compare mismatch field amplitudes between autistic and neurotypical children, finding no significant group differences but suggesting larger amplitudes in autistic children.

Cortical Oscillatory Dysrhythmias in Visual Snow Syndrome: A MEG Study

This study uses MEG to show increased gamma power and reduced alpha-gamma phase-amplitude coupling in primary visual cortex of visual snow syndrome patients, suggesting hyperexcitability and disrupted rhythmic activity.

Analysis methods for measuring fNIRS responses generated by a block-design paradigm

This study compares averaging and GLM-based analyses of fNIRS data from a block-design auditory paradigm, finding similar results but improved detection with systemic hemodynamic correction.

Reduced Auditory Steady State Responses in Autism Spectrum Disorder

This study replicates and extends findings of reduced 40Hz auditory steady state responses in ASD adolescents compared to typically developing controls.

Co-Increasing Neuronal Noise and Beta Power in the Developing Brain

Once the aperiodic 1/f component is modelled, the childhood shift of MEG power toward higher frequencies no longer holds; only beta power rises with age, alongside a flatter spectrum.

Topological segregation of functional networks increases in developing brains

The paper examines how functional brain networks become more segregated during childhood using magnetoencephalography and minimum spanning tree analysis.