Alexander D. Shaw

This paper introduces DIP-DCM, a method that improves parameter estimation in neural mass models by using dynamics-informed priors, showing better performance in predicting neuroimaging data and capturing disease mechanisms.

This study shows that females with epilepsy exhibit enhanced visual long-term potentiation (LTP) in the perimenstrual phase compared to mid-follicular and mid-luteal phases, suggesting increased glutamatergic excitation.

This study identifies synaptic disturbances in schizophrenia using magnetoencephalography and dynamic causal modeling, showing that targeted synaptic restoration can realign neural activity to healthy patterns.

This study compares the effects of GABA-ergic propofol and non-GABA-ergic dexmedetomidine on visual and motor cortical oscillations using MEG, finding distinct impacts on gamma-band responses and post-movement beta rebound.

The paper validates a thalamocortical computational model of visual cortex using EEG to study LTP-induced changes in interlaminar connectivity in humans.

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

This study uses MEG and pharmacological intervention to map GABAA receptor distribution by analyzing changes in brain oscillations induced by tiagabine.

The paper uses dynamic causal models and pharmaco-magnetoencephalography to study GABAergic dynamics in human frontotemporal networks and identifies drug effects on neuronal function.

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

This study shows that gamma frequency and cortical laminar processing change across the menstrual cycle in healthy females, linked to hormonal fluctuations and synaptic microcircuitry modifications.