Reorganisation of Functional Connectivity Gradients in Post-Stroke Aphasia
Balakrishnan, R.; Gonzalez Alam, T. R. d. J.; Leech, R.; Price, C. J.; Elizabeth Jefferies, E.
Show abstract
Aphasia after stroke arises from focal damage to language-relevant cortex but is accompanied by widespread alterations in functional connectivity. In 60 stroke survivors, we related principal component-derived language scores to both lesion location and stroke-related changes in resting-state functional organisation, combining structural lesion-symptom mapping with a gradient-based approach. Structural lesion-symptom mapping identifies which damaged regions are associated with specific language impairments but does not capture how surviving cortex is reconfigured within the brains large-scale architecture. In contrast, lesion-gradient mapping characterises whole-brain connectivity gradients - data-driven axes that summarise the principal patterns of variation in cortical connectivity - and quantifies how behavioural variation relates to displacement of structurally intact regions along these intrinsic axes. Stroke was associated with altered positioning of cortical regions along the gradient separating default mode and control networks. Notably, the position of the left inferior frontal gyrus along this axis predicted dissociable language outcomes: displacement toward default mode connectivity patterns was associated with better speech but poorer writing performance. This opposing behavioural profile suggests that inferior frontal cortex contributes to language through flexible large-scale coupling, with distinct coupling regimes differentially supporting spoken and written production. These findings indicate that gradient-based mapping provides a mechanistic link between focal tissue damage and distributed behavioural consequences by revealing systematic reorganisation of macroscale functional architecture beyond the lesion site.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Mapping the human praxis network: an investigation of white matter disconnection in apraxia 97%
- Generative whole-brain dynamics models from healthy subjects predict functional alterations in stroke at the level of individual patients 96%
- Bayesian modeling disentangles language versus executive control disruption in stroke 96%
Similar papers in this journal
Similar papers in this journal
- Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain 97%
- Increased prevalence of a frontoparietal brain state is associated with better motor recovery in individuals with pontine stroke affecting dominant-hand corticospinal tract 96%
- Degeneracy in the neurological model of auditory speech repetition 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.