Cathy J. Price

This study examines how stroke-induced changes in functional connectivity gradients relate to language outcomes in aphasia patients.

The paper shows that reading ability in deaf and hearing adults is linked to shared neural representations of abstract phonology from visual speech and other language forms in the superior and middle temporal cortex.

This study links multilingual phonological experience to cortical thickness in auditory brain regions, showing that more diverse language exposure correlates with thinner second transverse temporal gyrus.

This study shows that using continuous lesion images improves outcome prediction after stroke compared to binary lesion images.

The paper uses dynamic causal modelling to study effective connectivity during auditory repetition, finding bidirectional and inhibitory interactions between Wernickes and Brocas areas with individual variability.

This paper introduces a generative model of auditory word repetition that simulates how words are produced and recognized, showing it can infer and repeat target words from acoustic signals.

This study develops a prognostic model predicting treatment response for anomia after stroke using lesion location and therapy time.

The paper simulates functional recovery from different lesion types using a generative model, showing that complete disconnection of a system invokes the alternative system, while partial damage has more severe long-term effects.

This paper introduces active listening as a framework for speech synthesis and recognition, showing how word boundaries are selected to maximise evidence for internal models.

The paper investigates whether sign and speech languages evoke similar conceptual representations using fMRI and RSA, finding partial sharing of semantic representations in specific brain regions.

The paper challenges the proportional recovery rule by showing that baseline score correlations can mislead about outcome predictability in stroke recovery.