A Longitudinal Study of Auditory Comprehension in Poststroke Aphasia
Bibliographic record
Abstract
OBJECTIVE: Most studies documenting the longitudinal recovery of auditory comprehension in poststroke aphasia begin in the subacute phase. The present study aimed to address this gap by exploring the longitudinal changes in auditory comprehension from the acute to the chronic phase and their neural correlates. METHOD: Twenty-one Laurentian French persons with aphasia (PWA) following a first left middle cerebral artery stroke underwent three language assessments (acute: 0-72 hr, subacute: 7-14 days, chronic: 6-12 months postonset). Auditory comprehension was assessed at each time point using two tasks, sentence-picture matching and sequential commands. From the sentence-picture matching task, four measures were extracted (single-word, subject-verb, canonical subject-verb-object, and noncanonical subject-verb-object comprehension), while one measure was derived from the sequential commands task, totaling five measures. Lesion-symptom mapping (LSM) was used to identify the brain regions associated with comprehension impairments. RESULTS: All five auditory comprehension measures showed significant positive changes between acute and chronic phases. Persistent comprehension impairments with canonical sentences and sequential commands were more likely to occur in the chronic phase. LSM analyses revealed that comprehension of noncanonical sentences was associated with lesions in the supramarginal gyrus and extended to the superior temporal gyrus (STG) and middle temporal gyrus (MTG). Similarly, the comprehension of sequential commands was associated with lesions in the MTG, extending to the STG and insula. CONCLUSION: The current findings suggest that PWA with more severe impairments in the acute phase reach a similar performance in the chronic phase than people with milder aphasia and suggest a critical role for the left MTG in the recovery of auditory comprehension, especially with complex stimuli. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.29202788.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".