Shared Neuroanatomical Substrates for Co-Occurring Swallowing and Communication Impairments after Acute Stroke
Bibliographic record
Abstract
INTRODUCTION: Post-stroke dysphagia and communication impairments occur in two-thirds of acute stroke survivors. Identifying the shared neuroanatomical substrate for related impairments could facilitate the development of cross-system therapies. Our purpose was to elucidate discrete brain regions predictive of the combined presence of dysphagia alongside dysarthria and/or aphasia post-stroke. METHODS: We included 40 right hemisphere stroke (RHS) and 67 left hemisphere stroke (LHS) patients from an acute ischemic stroke cohort with lesions demarcated on diffusion-weighted imaging. We undertook binary non-parametric voxel-lesion symptom mapping with a false discovery rate of p < 0.05 for co-occurring dysphagia, dysarthria, and aphasia (LHS only). If no voxels survived the threshold, a cluster analysis of >20 voxels involving an uncorrected p < 0.01 was applied to identify brain regions associated with the co-occurring impairments. RESULTS: Cluster analyses revealed that dysphagia and dysarthria were associated with insular and superior temporal gyrus (STG) involvement after RHS and with basal ganglia (BG), internal capsule, and thalamic involvement after LHS. Co-occurring dysphagia, dysarthria, and aphasia were associated with BG, STG, and insular cortex involvement. DISCUSSION: Our findings highlight the role of the insula and structures of the BG in co-occurrence patterns involving dysphagia, dysarthria, and aphasia. These newly identified biomarkers may inform new rehabilitation therapeutic targets for treating cross-system functions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".