Thomas Cope

This paper translates group-level neurophysiological biomarkers into individual-level phenotyping to identify mechanisms of neurodegenerative diseases using MEG data.

This study examines the neural impact of disconnecting a semantic hub in the human brain and finds specific network changes and partial compensation.

This study investigates the relationship between neuroinflammation and protein aggregation in frontotemporal dementia using PET imaging and finds a strong positive correlation between these processes.

The paper shows that the left anterior temporal lobe is essential for efficient processing of spoken word identity, with semantic dementia patients showing increased right hemisphere activity in response to ambiguous words.

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

The paper investigates the relationship between gene expression and brain atrophy in genetic frontotemporal dementia, finding correlations between atrophy patterns and specific gene sets related to vascular, glial, and neuronal functions.